2874 Slack Jobs - Page 10

Location: SPAZE ITECH PARK Sector 49, Gurugram, Haryana 122018 Experience Required: 1–3 years Employment Type: Full-Time Overview We are seeking a skilled and proactive Business Development Executive / Online Bidder with hands-on experience in generating business through online platforms such as Upwork, Guru, PeoplePerHour (PPH), Freelancer , and similar channels. The ideal candidate must possess excellent communication and negotiation skills and should be capable of handling the full sales lifecycle — from identifying leads to closing deals. Key Responsibilities Independently manage bidding profiles on platforms like Upwork, Guru, Freelancer, and PPH . Generate high-quality leads for Web Development, Mobile App Development, and Digital Marketing services . Draft compelling proposals and customized cover letters for project bidding. Conduct client communication, requirement gathering , and convert leads into long-term business opportunities. Follow up on bids, conduct pre-bid analysis , and track competitor activity. Manage project budgeting discussions and ensure clarity with clients. Conduct cold calling and explore other strategies for generating domestic and international leads. Prepare weekly/monthly performance reports and lead status updates. Coordinate with internal teams to align delivery expectations with client requirements. Flexibility in working hours to accommodate international client communication. Key Skills Required: Proven experience in online bidding and lead generation Excellent in verbal communication skills Strong understanding of the IT service industry (Web, Mobile app development) Ability to analyze project requirements , estimate scope and time, and communicate effectively with technical teams Client negotiation, closure skills , and understanding of sales cycles Self-motivated with a results-driven mindset Preferred Qualifications: Bachelor’s degree in Business, Marketing, IT, or related field Familiarity with tools like CRM, Trello, Slack, or HubSpot is a plus Ability to multitask and work independently Compensation: Package: Fixed Salary (Based on experience and skills) Incentives: Performance-based incentives on successfully closed projects Bonus: Additional bonuses for high-value or long-term client acquisitions To know more pls contact- HR@solutionbowl.com Job Type: Full-time Pay: ₹30,000.00 - ₹50,000.00 per month Benefits: Cell phone reimbursement Flexible schedule Internet reimbursement Paid sick time Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Have prior experience in Bidding platform Work Location: In person Expected Start Date: 05/08/2025

5yrs + Tools & Technologies Frontend: React.js, Vue.js, JavaScript, TypeScript, HTML5, CSS3, Tailwind/Bootstrap. 3D Rendering: WebGL, Three.js, Ammo.js, glTF/FBX loaders. Build Tools: Webpack, Vite, ESLint. Collaboration: JIRA, Slack, Trello for Agile workflows. Testing: Jest for unit tests, Cypress for end-to-end testing, Chrome DevTools for WebGL debugging. Cloud: Basic AWS/GCP knowledge for fetching assets from S3 or equivalent.

Operations Manager About Jaceex: Jaceex Ventures LLP is an Education Services Company , a North East India based DIPP and Assam Govt registered Start up operating the Japan Centre of Excellence (Jaceex) . Jaceex is involved in building the capacity of the youth of NER to make them Japan Ready. Jaceex is engaged in training Indian youths in employable skills and placements of skilled and semi-skilled Indian youths in Japan under various private initiatives as well as government-to-government programs. About the Role: We are looking for a proactive and highly organized Operations Manager to join our dynamic team at Jaceex. This position will act as the second-in-command, supporting the founder in running the organization efficiently. This is a hands-on, leadership-oriented role ideal for someone who enjoys wearing multiple hats — from daily operations and batch/program planning to marketing and automation. Key Responsibilities: 1. Operations & Administration Oversee and streamline daily operations across departments. Manage internal communication between team members, and external stakeholders. Monitor ongoing projects and follow up on key action items. Provide daily support to the founder and senior leaders. 2. Planning & Program Management Assist with batch planning, scheduling, and coordination of programs. Ensure smooth onboarding, support, and engagement of participants. 3. Marketing & Outreach Support content planning and execution for social media, and campaigns. Coordinate outreach with collaborators, institutions, and media. Assist in the promotion of upcoming events, batches, and partnerships. 4. Business Process Automation Identify repetitive tasks and implement automation solutions (using tools like Google Classroom, Slack, Google Workspace etc.). Help streamline CRM, communication workflows, and lead management systems. 5. Event & Delegation Support Support the planning and execution of online/offline events and delegation visits. Qualifications: Excellent written and verbal English communication skills. Strong multitasking and time-management abilities. Highly organized, detail-oriented, and able to work independently. Comfortable in a fast-changing environment. Knowledge of Japanese language (N4 and above) or culture is a major advantage. Salary: Based on skills, aptitude, and attitude. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹15,000.00 per month Schedule: Monday to Friday Weekend availability Education: Bachelor's (Preferred) Experience: Admin Assistant, Operations: 1 year (Preferred) Language: English (Preferred)

Race Digital is a fast-growing digital marketing agency that delivers high-performance solutions across SEO, paid ads, content, and conversion strategy. We work with bold brands across e-commerce, healthcare, SaaS, and lifestyle niches - scaling performance, not just impressions. We’re on a mission to raise the bar on what performance marketing looks like in India - and we’re looking for curious, driven minds to help us grow. What You'll Do As a Sales & Marketing Intern, you'll work directly with the founding team and senior strategists to: Research and identify new business opportunities across Upwork, LinkedIn, and B2B platforms Assist in writing high-converting sales proposals and marketing pitches Support lead generation campaigns through email outreach, social engagement, and CRM updates Collaborate on marketing strategies for live campaigns (SEO, paid ads, branding) Prepare market research briefs and competitor analyses Assist in maintaining agency case studies and pitch decks Join internal client meetings or strategy sessions to understand real-world execution What We're Looking For Strong written and verbal communication skills (English proficiency is a must) Passion for marketing, branding, or sales strategy Ability to research fast, think creatively, and deliver under tight timelines Familiarity with platforms like LinkedIn, Upwork, Notion, or Google Workspace is a plus Self-starter mindset - you don’t wait to be told what to do Bonus: You’re active on social media or have personal branding interests What You’ll Get Direct mentorship from seasoned marketers and founders Real exposure to international clients and performance campaigns Hands-on experience with tools like Notion, Slack, Google Ads, Ahrefs, and more Certificate + Letter of Recommendation upon successful completion Opportunity for full-time offer based on performance Job Type: Full-time Pay: ₹4,000.00 - ₹25,000.00 per month Benefits: Cell phone reimbursement Commuter assistance Health insurance Internet reimbursement Provident Fund Compensation Package: Commission pay Performance bonus Quarterly bonus Yearly bonus Schedule: Day shift Work Location: In person Speak with the employer +91 6353663006

About the Company As the world’s leading multidisciplinary service provider, Deluxe underpins the media and entertainment industry, servicing content creators and distributors including Netflix, WarnerMedia, The Walt Disney Company, Amazon, Apple, Viacom, NBCU, Google, AT&T and many others, by providing Global Content Distribution, Localization, Accessibility and Mastering while leading end-to-end innovation with unparalleled scale and agility across the Streaming, Theatrical, Broadcast and Mobile landscapes. With headquarters in Los Angeles and offices around the globe, the company employs over 3,200 of the most talented and experienced industry individuals worldwide. For more information, please visit www.bydeluxe.com Position Summary The Technician Tier-1 of the 24x7 Service Desk, is to deliver efficient, responsive, and effective resolution of global application issues while supporting customers enterprise wide utilizing diverse customer service channels such as: phone, online, and chat technologies. They will also need to work in close coordination with IT team members abroad to escalate incidents that cannot be resolved by them and ensure that users receive seamless resolution of their day-to-day problems. Outcomes and Accomplishments As a Technician, Tier 1 Support, you will: Serve as first point of contact to customers seeking technical assistance via phone, email, and chat. Perform remote troubleshooting through diagnostic techniques and pertinent questions Managing the Service Desk queue in a professional and consistent manner that ensures user incidents, requests and queries are dealt with efficiently. Maintaining a high level of customer awareness and focus by communicating regularly with other Service Desk team members and IT teams. Escalating incidents and / or requests to the Service Desk Team Leader or resolver groups when required. Ensure IT compliance for global infrastructure services. Level 1 user account management for entire applications hosted (Onboarding user, Offboarding User, License allocation et). Use the support database for handling the Service Requests and Incidents. Resolve issues like from basic account lockout and password reset to complex application issues. Categorize the tickets accurately and summarize status and document the detailed troubleshooting steps performed before forwarding to next level. Ability to interact well with employees, vendors, and customers. Research and evaluate problems or technologies outside current knowledge or experience. Create knowledge article documentations as required. Maintain ticket quality by updating all the required steps. Help troubleshoot and perform RCA of business application issues and resolve as many incidents as possible at the first level support. Other duties as assigned. What You Bring: 2+ Years’ experience with Enterprise level IT support, preferably in IT TIER 1/Service Desk Excellent troubleshooting skills and technical support. Experience in working with highly collaborative environment and proven knowledge. Experience in Incident and service ticket handling end to end Experience in interfacing directly with customers over phone, e-mail for issues reported. Must have excellent interpersonal and written communication skills. Hands-on with Linux and Windows Operating Systems/Servers Proficiency with MS Office suite. Good knowledge or hands on knowledge of Active Directory. Microsoft O365 basic management Level 1 troubleshooting and remote recovery of incidents reported Level 1 software installation and troubleshooting Hands-on with communication tools like Teams, Slack, Bomgar and other applications etc. Hands-on with ticketing and knowledge management tools like Jira, Wiki, Confluence etc. Critical incident bridge coordination and notification CAB call participation and notification Fundamental knowledge of network routers, switches, firewalls and troubleshooting techniques. Knowledge of ITIL fundamentals and preferably on Incident Management. ITIL certification is an added advantage. Willing to work in a 24/7 rotational shift, must be resourceful, able to adapt to new situations and to work in a fast-paced, rapidly changing environment. **Candidates should be flexiable to work from office (Bellandur,Bangalore) and ready to work in night shift (9PM to 6AM)**

🎨 Position : Product Designer / UX/UI Designer (Apple Ecosystem) Location: Remote Commitment: Full-time / Contract Start Date: I mmediate 🧠 About the Role We're looking for a Product Designer / UX/UI Designer who thrives at the intersection of aesthetics, usability, and systems thinking. You’ll help shape and polish two high-potential apps one in the health/fitness space and another in productivity both designed for global impact. You’ll work closely with the founder and developers to ship beautiful, intuitive, and user-loved products on iOS, Android, and Apple Watch, with a strong bias toward Apple’s design ethos. 🛠️ What You'll Do * Take full design ownership across the lifecycle of both apps: from ideation, wireframing, prototyping to high-fidelity UI and handoff. * Design pixel-perfect interfaces for iOS (UIKit), Android, and WatchOS platforms with an Apple-first mindset. * Create user flows, mockups, animations, interactions, and final production-ready assets. * Collaborate closely with developers to ensure seamless design-to-dev handoff, QA, and iteration. * Build and maintain design systems that scale across platforms. * Participate in product strategy, usability studies, and feedback loops. * Test your designs across real devices (especially Apple) to ensure top-notch visual and interaction fidelity. 🧰 What You Should Bring * 3+ years of experience designing mobile products (preferably D2C apps in health, lifestyle, productivity, or wellness). * Strong expertise in UIKit, Apple Human Interface Guidelines, and iOS design best practices. * Solid understanding of Material Design and native Android app flows. * Ownership mindset, you care deeply about the product and its success. * Own and test on Apple devices : MacBook (Apple Silicon preferred), iPhone (iOS 17+), and ideally an Apple Watch. * Fluent collaboration skills, comfort using Figma, Loom, Slack, Notion, and handing off to devs in agile teams. * A strong portfolio showcasing clean UI, intuitive UX, and real-world impact. * Bonus: motion/interaction design (e.g. Framer, After Effects, Lottie), user research experience, or copywriting instincts. 🎯 Our Stack & Culture * Platforms: iOS (UIKit), Android, Web, Apple Watch * Tools: Figma, Linear, Notion, Loom, GitHub * Team: Lean, ambitious, fast-moving * Culture: We value taste , speed , autonomy , and shipping small and often 🧩 Bonus Points * Experience designing AI-powered interfaces * Previous work on voice-first or journaling/productivity apps * Deep understanding of dark mode , accessibility , and typography systems * Passion for wellness, neurodiversity, or mindful tech 🚀 Why Join Us? * Shape two world-class apps with the freedom to own your craft * Build for a design-forward user base that values good taste * Work with a founder and devs who care deeply about design * Have your work seen and loved by thousands (and soon, millions) 📩 To Apply Send your portfolio and a few lines on why you’d be a great fit to Contact : subham@binaryvlue.com . Bonus: Share your favorite Apple-designed app and what you love about it.

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!