688 Mocking Jobs - Page 2

Job Description Job ID LEADS014549 Employment Type Regular Work Style on-site Location Noida,UP,India Role Lead Software Engineer Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on. At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you. 1. Full Stack Developer comfortable with UI Technologies such as Angular & NodeJS and Back End Development using Java & Spring Framework. 2. Solves standard problems by analyzing possible solutions using experience, judgement, and precedents 3. Builds knowledge of the company, processes, and customers; Understands business concepts and how own role supports team objectives 4. Developing software products using modeling techniques and software design patterns. 5. Participate in code and design reviews to ensure quality and conformance to product standards. 1. Graduate/ Post Graduate in Computer Science with at least 60% throughout academics 2. 5 - 8yrs' IT experience 3. More than 3yrs of relevant experience 4. Strong hands-on experience - NodeJS, AngularJS ,JAVA ,Spring Framework 5. Exp. in Object-oriented analysis, design and programming, database modeling, etc. 6. Expertise in Rest API Development using frameworks 7. Hands-on experience on cloud platform such as Google or AWS 8. Comfortable with CI/CD build tools, Observability implementation. 9. Good experience with Unit Testing processes and tools (JUnit) & Mocking frameworks 10. Hands-on experience with Design Patterns 11. Exposure to database techniques/tools such as data modeling, Oracle, SQL, etc One or more ORM frameworks such as Hibernate 12. Conversant with platforms, tools and frameworks used in application development 13. Exposure to Agile/SCRUM methodology and TDD (Test Driven Development) 14. Excellent Debugging / Troubleshooting skills 15. Good Communication Skills. Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com

Req ID: 329819 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Testing and Quality Assurance Services to join our team in Bangalore, Karnātaka (IN-KA), India (IN). Senior Quality Engineer Senior Quality Engineer Who we are: NTT DATA America’s strive to hire exceptional, innovative and passionate individuals who want to grow with us. Launch by NTT DATA is the culmination of the company’s strategy to acquire and integrate the skills, experience, and technology of leading digital companies, backed by NTT DATA’s core capabilities, global reach, and depth. How You’ll Help Us: Our clients need digital solutions that will transform their business so they can succeed in today’s hypercompetitive marketplace. As a team member in our Quality Engineering practice, you will help make these digital solutions come to life by ensuring every deliverable is defect-free. You will routinely deliver automated testing solutions to clients that will impact their products, customers, and services. How We Will Help You: Joining our Quality Engineering practice is not only a job, but a chance to grow your career. We will make sure to equip you with the skills you need to implement enterprise-grade test automation and help your teams produce robust, defect-free applications that you can be proud of. Whether it is providing you with training on quality assurance practices, a new programming language, test automation tools, or helping you get certified in a variety of areas, we will help you grow your skills so you can continue to deliver increasingly valuable work. Roles & Responsibilities: Maintain an automation-first mindset and approach. Primary point of contact for the QE team and responsible for all QE deliverables Enforce testing best practices and guide the team to follow those standards. Finds opportunities for automation in lieu of manual testing and enforces the Automation First, Contract First approach. Design & develop test automation frameworks and customize test automation framework on project needs. Understand and follow business requirements, identify gaps in the business requirements, advice the client accordingly and helps the team in covering all business use cases. Able to define test strategy and leads the team in implementing it. Guide QEs on test plan, approach, tools, and test automation scripting needs. Identify, define, and manage tools and processes for the team. Mentor team members on Scrum and Agile framework. Effectively use and guide the team on test management tool (test design, execution, reporting, traceability matrix) Assist in implementation of the test management tool within the team. Establish, generate, and publish test execution & bug reports, testing metrics, trends etc. Effectively use and guide the team on defect management process (Create, set priority/severity, retest, close, root cause analysis, defect prevention) Guide team members on identifying the root cause of bugs (e.g. API/BE, data, UI, logs, or environment issues etc.) Generate and guide team members on bug metrics and reports. Coordinate bug triage between business, dev, and test teams across all kinds of bugs. Drive and train team members to execute automated test cases (happy path, edge cases, negative, complex business scenarios) for browser-based or mobile applications. Drive and train team members to create and execute test cases (happy path, edge cases, negative, complex business scenarios) for REST or SOAP APIs. Train team members to write and execute complex SQL queries and commands. Lead internal team meetings and drive communication with clients. Actively participate in client meetings, project-wide reviews of requirements, system architecture and detailed design documents Manage and perform load and stress tests using enterprise level test automation tools. Manage, lead, and maintain physical, virtualized, and simulated test environments. Basic Qualifications: 8+ years of experience in designing and developing a new test automation framework from scratch using a test automation tool like Playwright /Selenium/Cucumber/Java 8+ years of hands-on experience in software testing and writing test automation code in at least one programming language like Java 4+ years of hands-on experience in developing and executing test scripts for REST or SOAP based APIs. 4+ years of experience in intercepting and mocking complex HTTP API calls in UI and API tests. 2+ years of experience in messaging systems (AMQ, WMQ or Kafka). 4+ years of experience in writing and guiding teams on complex end-to-end tests automation. 4+ years of experience on test management and defect tracking tools like Jira, Azure DevOps, HP ALM, etc. 4+ years of experience in driving defect management strategy (create, set priority/severity, retest, close, traceability, reporting etc.) 2+ years of experience in driving the team to implement automated test suites for all testing types (unit, component, API, UI, UAT, E2E, etc.) 3+ years of hands-on experience in writing and executing complex SQL queries and understands concepts like indexing, schemas, views, etc. 2+ years of experience in training team members to understand version control concepts. 2+ years of experience in guiding the team on version control concepts, tools and hands-on experience on commands and operations (like commit, fetch, push, pull, squash, resolve merge conflicts etc.) 3+ years of hands-on experience on at least one of the performance testing tools (e.g., JMeter, K6, LoadRunner, NeoLoad, etc.). 1+ years of experience in analyzing performance testing requirements and implementation of load, stress, endurance, volume testing etc. 2+ years of experience in leading the team on CI/CD pipeline implementation for automated tests suites. (in coordination with DevSecOps team) 2+ years of experience in creating test plan for accessibility and security testing. 2+ years of hands-on experience on cloud platforms (e.g., Azure, AWS, GCP) 1 year of understanding of Gen AI, Gen AI tools (e.g., GitHub CoPilot) and experience in leveraging Gen AI in quality engineering space. Language requirement: English Preferred Skills: Mobile test automation development is a big plus. Experience leading and working with cross-functional teams in fast-growing environment. Strong organizational skills and eager to tackle new challenges. Experience planning, designing, and implementing testing strategies and automation infrastructure for large scale system software. Ideal Mindset: Lifelong Learner. You are always seeking to improve your technical and nontechnical skills. Team Player. You are someone who wants to see everyone on the team succeed and is willing to go the extra mile to help a teammate in need. Communicator. You know how to communicate your design ideas to both technical and nontechnical stakeholders, prioritizing critical information and leaving out extraneous Please note Shift Timing Requirement: 1:30pm IST -10:30 pm IST About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

Job Title: Full Stack Developer – ASP.NET & Angular Location: Pune, India Notice Period: Immediate - 15 Days Joiners Only Experience: 4–6 Years Education: B.E./B.Tech (IT, Computer Science, or related fields) About the Role: We are looking for a dynamic and experienced Full Stack Developer with strong expertise in ASP.NET and Angular to join our growing team in Pune. The ideal candidate will be passionate about building scalable, high-quality, and high-performance web applications using modern technologies and design principles. Key Responsibilities: Design, develop, and maintain scalable enterprise-level web applications. Build robust APIs using ASP.NET Web API (.NET Core/.NET 5+). Develop interactive UI components using Angular (4/5+) , TypeScript , and Angular Material . Write clean, maintainable, and well-documented code following industry best practices. Collaborate with cross-functional teams to define, design, and ship new features. Implement microservices-based architecture and containerization solutions (Docker/Kubernetes). Perform unit testing using xUnit , mocking frameworks, and participate in code reviews. Work within Agile/Scrum methodologies and contribute to sprint planning and execution. Stay up to date with new trends and advancements in the tech landscape. Required Skills: Strong programming experience with C#, ASP.NET Web API , .NET Core / .NET 5+ . Proficiency in Angular (4/5+) , TypeScript , HTML5 , CSS3 , Bootstrap . Good understanding of RESTful services and n-Tier architecture . Familiarity with Design Patterns , OOAD , SOA , and RESTful architecture . Experience with SQL databases and familiarity with NoSQL databases is a plus. Knowledge of nHibernate , IoC containers , CI/CD pipelines , and DevOps practices is a strong advantage. Hands-on experience with Docker , Kubernetes , and microservices is a bonus. Soft Skills & Competencies: Strong analytical and problem-solving skills. Excellent verbal and written communication. Self-motivated and capable of working independently. Proactive attitude and a strong team player. Ability to work effectively in a fast-paced and agile environment. Capable of engaging with global teams and stakeholders. Educational Qualification: B.E./B.Tech in Computer Science, Information Technology, or a related discipline. Candidates from other streams may also apply if they hold valid certification(s) in .NET and/or JavaScript technologies.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Director Software Engineering Job Summary Leads major projects and delivers quality software solutions in a timely and cost effective manner. Researches and recommends alternative technical solutions for changing business needs. Responsible for assuring the daily activities of the team meet the requirements of SLA’s in addition to aligning organizational and enterprise strategies. Major Accountabilities Successfully lead definition, development and delivery of major cross-department initiatives with broad scope and long-term business implications. Collaborate with business and technical partners to identify and scope the opportunities, quantify costs, outline potential value and ROI, identify risks, benefits and constraints. Partner with business to identify innovative solutions and drive strategic decisions.Actively look for opportunities for Innovation and creative problem solving. Make presentations to the Senior Management, Business Owners and other Stakeholders and help them in decision making process. Perform Proofs of Concept (PoCs) to assess and identify the technologies per the needs of the organization. Provide recommendation to Senior Management on selection of technologies and strategic technical direction for the department. Lead creation of roadmaps that align with the department strategy and long term business vision and objectives. Coach and mentor team members, enable knowledge sharing via brownbag sessions on new and upcoming technologies, methodologies and application appropriate frameworks. Lead implementation of processes and supporting tools per the evolving needs of the organization. Identifying process gaps, provide estimates for business solutions, define the initial scope/requirements of the project and manage the scope during the lifecycle of the project. Plan overall project scope and define scope for each phase and iteration to meet business needs/time-to-market needs. Provide integration design and guidance to business partners for external party (merger or vendor) integrations with the rewards platform, ensuring security policies are properly enforced and technological due diligence is performed. Instruct and guide the team to ensure that appropriate processes and documentation is in use by the team. Ensure compliance to the defined standards. Actively look for opportunities to modify and enhance standards per the needs of the department. Develop documentation templates, lead and enforce development of artifacts throughout the solution development lifecycle. Education Bachelor's degree in Information Systems, Information Technology, Computer Science or Engineering or equivalent experience. Knowledge / Experience Extensive understanding of and experience with Software Engineering Concepts and Methodologies. Demonstrate MC Core Competencies. Proven ability to embody MC Leadership Principles. Proven capacity to lead and influence matrix based project team members and work as a member of a diverse and geographically distributed team. Experience integrating systems within a service oriented architecture and e-commerce platforms. Knowledge of design and security patterns coupled with an ability to persuade and assist in development. The applicant must have experience integrating technologies with SAML and OAuth tokens. Experience developing, designing, and operating global systems supporting multiple languages and currencies. Experience integrating web services with best in class platforms such as Layer 7 and Data Power. Experience building de-coupled systems using technologies such as message queues, No-SQL data storage, etc. Experience implementing complicated projects and systems using agile methodologies. Skills/ Abilities Must be politically savvy, high-energy, detail-oriented, proactive and able to function under pressure in an independent environment. Possess the ability to have a high degree of initiative and self-motivation to drive results. Demonstrate ability to organize, manage, plan and control several concurrent initiatives with conflicting needs. Ability to balance time between strategic thought and self-embedding with teams performing development, testing, and operational work. This ability is critical in leading the organization and innovating while also remaining in touch with reality. Design and development of object oriented systems, unit tests with mocking technologies, Java, JavaScript, C# Design and database scripting for RDBMS such as Oracle and SQL Server. Design and development using cloud technologies such as Amazon Web Services and Windows Azure. Design and development of enterprise web services using both SOAP and REST. Ability to communicate designs and integration plans using diagraming software such as Visio. Design and development of batch processes. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Experience: 5+ years, USA time shift (6:00PM 3:00AM) Location-Mode of Work: Hyderabad, WFO Must have Skills Expert in RoR Microservice architecture[ rabbit mq, kafka preferred] Knowledge of Circle CI [CI/CD] Log Monitoring Tools[ Datadog, New Relic etc.,] Excellent communication skills End to end Feature development with ability to understand business scope Background Jobs [Sidekiq, Resque etc] Expert in Test driven development concepts[Unit tests, Feature tests, mocking] API development

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!