4336 Layers Jobs - Page 23

Requirements Description and Requirements Job Responsibilities Manages design, distribution, performance, replication, security, availability, and access requirements for large and complex SQL & Sybase databases. Designs and develops physical layers of databases to support various application needs; Implements back-up, recovery, archiving, conversion strategies, and performance tuning; Manages job scheduling, application release, database change and compliance. Identifies and resolves problem utilizing structured tools and techniques. Provides technical assistance and mentoring to staff in all aspects of database management; Consults and advises application development teams on database security, query optimization and performance. Writes scripts for automating DBA routine tasks and documents database maintenance processing flows per standards. Implement industry best practices while performing database administration task Work in Agile model with the understanding of Agile concepts Collaborate with development teams to provide and implement new features. Able to debug production issues by analyzing the logs directly and using tools like Splunk. Begin tackling organizational impediments Learn new technologies based on demand and help team members by coaching and assisting. Education, Technical Skills & Other Critical Requirement Education Bachelor’s degree in computer science, Information Systems, or another related field with 10+ years of IT and Infrastructure engineering work experience. Experience (In Years) 7+ Years Total IT experience & 5+ Years relevant experience in SQL Server + Sybase Database Technical Skills Database Management: expert in managing and administering SQL Server, Azure SQL Server, and Sybase databases, ensuring high availability and optimal performance. Data Infrastructure & Security: Expertise in designing and implementing robust data infrastructure solutions, with a strong focus on data security and compliance. Backup & Recovery: Skilled in developing and executing comprehensive backup and recovery strategies to safeguard critical data and ensure business continuity. Performance Tuning & Optimization: Adept at performance tuning and optimization of databases, leveraging advanced techniques to enhance system efficiency and reduce latency. Cloud Computing & Scripting: Experienced in cloud computing environments and proficient in operating system scripting, enabling seamless integration and automation of database operations. Management of database elements, including creation, alteration, deletion and copying of schemas, databases, tables, views, indexes, stored procedures, triggers, and declarative integrity constraints Strong database analytical skills to improve application performance. Should have strong working Knowledge of database performance Tuning, Backup & Recovery, Infrastructure as a Code and Observability tools (Elastic). Must have experience of Automation tools and programming such as Ansible and Python. Strong knowledge in ITSM process and tools (ServiceNow). Ability to work 24*7 rotational shift to support the Database and Splunk platforms. Other Critical Requirements Excellent Analytical and Problem-Solving skills Experience managing geographically distributed and culturally diverse workgroups with strong team management, leadership and coaching skills Excellent written and oral communication skills, including the ability to clearly communicate/articulate technical and functional issues with conclusions and recommendations to stakeholders. Prior experience in handling state side and offshore stakeholders Experience in creating and delivering Business presentations. Demonstrate ability to work independently and in a team environment About MetLife Recognized on Fortune magazine's list of the 2025 "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible . Join us!

Oviya Mining Pvt. Ltd. a well-established and fast-growing company based at Bilaspur, Chhattisgarh is urgently looking for a Astt Manager (Business Development) based at Bilaspur for Continuous Miner (CM), Shuttle car, Feeder breaker, Roof Bolter, UG and OC Mining Products, Bulldozers, Pipe Layers, Excavators, Skit steer loaders, Wheel loaders, Wheel dozers etc Persons having Degree / Diploma in Mechanical Engineering an having at least 7-10 years of experience in similar fields may apply. Mining industry experience is preferable. 1. Please mention present CTC and Expected CTC (Mandatory Condition) 2. Job role is based at Bilaspur, Chhattisgarh 3. Reporting to CEO 4. Lucrative incentive will be offered based on sales. Job Types: Full-time, Permanent Pay: From ₹30,000.00 per month Experience: Ten: 7 years (Preferred) Work Location: In person

Join Udemy. Help define the future of learning. Udemy is an AI-powered reskilling platform built to help people and teams grow. It’s personalized, practical, and focused on real-world impact. Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they’re picking up something new or leveling up to stay ahead. Over 80 million learners and 17,000 businesses already learn with Udemy. If you’re excited by change, energized by learning, and ready to have a real impact, you’ll feel right at home. About Us Learn more about us on our company page. At Udemy, we’re on a mission to transform lives through learning. Through our intelligent skills platform and a global community of instructors, we’ve helped over 73 million learners and 16,000 organizations achieve their goals. Come join us in ensuring everyone, everywhere has access to the skills they need to unlock their potential and create possibilities for themselves and others. About You You’re an active listener and a determined person who thrives in a collaborative environment like ours. You want to use your skills to help others progress, whether that’s internally with your team or seeing the impact your work can have on people around the world as you help us expand into new markets. You’re ready for a challenge and aren’t afraid to try new ideas. About This Role We are seeking a highly motivated and experienced Large Enterprise Account Executive to join our dynamic sales team in the India territory. The ideal candidate will be responsible for identifying and closing new business opportunities with enterprise-level clients, which are companies with 5,000 employees and above. What you'll be doing: Identify, prospect, and qualify new enterprise-level business and upsell opportunities within assigned territory Coordinate and work with Udemy Business team (Customer Success, Solutions Engineering, Marketing, Product, Deal Desk, Legal, key executives) to ensure territory success; customer satisfaction, expansion and retention Build and maintain strong relationships with key decision-makers to understand clients' business objectives and challenges to effectively position our solutions as a strategic fit Develop and execute strategic sales plans to meet and exceed sales targets Lead negotiations and close complex sales deals, ensuring contracts are executed accurately and in a timely manner Stay updated on industry trends, market dynamics, customer feedback and competitor activities; then relay and share any insights with your team! What You’ll Have While this work is based more on the skills a person has than what they have done, we think a typical profile could include the following: We are looking for a highly motivated, over-achieving “hunter and closer” who flourishes in a fast-paced, dynamic environment A minimum of 7+ years of closing experience in SaaS B2B Enterprise sales Ability to manage multiple opportunities across the full sales cycle Proven history of exceeding targets in selling licenses/products/subscriptions to enterprise organisations with demonstrated ownership of all aspects of territory management About Your Skills Problem Solving: You are skilled in creative problem-solving techniques to address client needs, overcome obstacles, and drive sales outcomes, ensuring customer satisfaction and business success. Coachability: You demonstrate a strong willingness to learn, adapt, and incorporate feedback to enhance strategies and achieve performance targets, fostering continuous personal and professional growth. Curiosity: You exhibit a natural curiosity and hunger for knowledge, constantly seeking to understand market trends, customer preferences, and competitive analysis to inform strategy and drive business success. Outbound Mindset: You possess a proactive outbound mindset, driven to identify new business opportunities, cultivate relationships with prospects, effectively communicate value and supported by your research and rigor throughout the process. Collaboration. You celebrate diverse perspectives, leveraging the strengths of individuals to drive collective success. Within deals, you adeptly multithread and engage multiple stakeholders. You constantly read your deals to identify when to engage additional stakeholders and turn toward team selling. You are aware of your cross-functional partners’ scope and can support them as they support you. We understand that not everyone will match each of the above qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you! Life at Udemy We aspire to be as vibrant and dynamic as the communities we serve, as inquisitive as those who use our platform, and as revolutionary as the future we strive to open for everyone. Here are some of the things we love about life at Udemy: We’re invested in creating an inclusive environment that welcomes a diverse range of backgrounds and experiences. From creating employee resource groups, ensuring we’re a Fair Pay Workplace, and building a flexible work culture, our belonging, equity, diversity, and inclusion (BEDI) initiatives always put our people first. We want you to be able to bring your authentic self to work because when we all do, we’re better for it. Learning is what we do—inside and out. Our Learning & Development team is second to none, helping ensure your journey is one of continuous progression. You’ll also have unlimited access to Udemy courses, monthly UDays (meeting-free professional development days), and a generous annual professional development stipend. Our reason to exist is to revolutionize learning – that calls for taking risks and learning from failures. Whether it’s our hackathons (a company-wide effort to envision new possibilities for our product) or sharing our prototypes, we see experimentation as a crucial step on the path to success. We’re committed to creating world-class employee experiences and are proud of the recognition of this by Great Place to Work. Learn more about our certification here and find out what it's like to work at Udemy on our blog. Of course, the best thing about being part of Udemy is knowing your work makes a difference for people and organizations around the world. You’ve got the skills; why not use them to help others develop theirs? At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We will consider for employment qualified applicants with arrest and conviction records. About Our APAC Region When you join Udemy in our Asia Pacific (APAC) region, you’ll have the chance to help our globally established business grow locally. We have a solid foundation and a great reputation — and you can be part of the next stage of our journey. Our investment in the region is significant, with offices in Australia and India and an expanding presence in Singapore, Indonesia, Japan, and beyond. It comes with countless opportunities to make learning more accessible to millions. You’ll work with various cultures with unique needs, affording you the chance to learn and progress in your career. And that progression doesn’t come at the cost of work-life balance; people are at the heart of our mission, which is why we’re committed to looking after ours. Information regarding data privacy is available within the Udemy Careers Privacy Notice. Why work here? You’ll grow here. Learning is part of the job. You’ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you. AI is real here. We use it in the way we learn and the way we work. You’ll have the space and tools to experiment, apply, and get better at using AI in practical ways. You’ll own your work. We trust people to lead, make decisions, and follow through. You don’t need to wait for permission or layers of approval to have an impact. You’ll Build With Others. We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction. You’ll see your impact. What you build helps people grow their skills, change their careers, or find a path forward. You’ve got the experience, why not use it to help others gain theirs? Bring your curiosity. We’ll bring the platform and the support. Let’s LEARN together. Our Benefits Start with U Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our US Benefits, Ireland Benefits & Turkiye Benefits pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process. Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies. At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you! Information regarding data privacy is available within the Udemy Careers Privacy Notice.

EE Department Ahmedabad, Gujarat, India Full Time No of Position: 1 Experience: 3-6 Years Expertise / Skills Footprint creation Layout, high-speed layout,multi-layer board design Orcad (must) Allegro (must) Job Description Guide and provide technical support to juniors for Project development. Experience in High-speed design and Analog design routing. Experience with PCB Layout design up to 4 layers is preferred. Conduct hardware design in DFM, DFA, and DFT format Should be open to working in a challenging environment with minimal supervision Design and Develop Multilayer PCB Basic knowledge of IPC Standards PCB Design as per the EMI / EMC standards Strong Skills for Library development, footprint creation, and Layout in software like Orcad (must), Altium, Allegro (must), Eagle, Mentor Graphics, etc Demonstrate robust design principles in the execution Continuously upgrade skills and knowledge of self Signal Integrity and Power Integrity. Knowledge of protocols including RS232, RS485, SPI, USB, CAN, ZigBee, Experience in Power supply- SMPS design, DC/DC converter, LDOs Apply Now

We're hiring: Junior Interior Designer Location: Ranchi Experience: 6 months to 2 years Type: Full-time Metarch Studios is on the lookout for a Junior Interior Designer who can think in both lines and layers. Someone who can sketch layouts in the morning and bring them to life in 3D by lunch. What we’re looking for Someone with 6 months to 2 years of hands-on design experience Comfort with AutoCAD for 2D and 3Ds Max for 3D A solid grip on standard interior dimensions and planning Understanding of false ceiling, elevation, and MEP drawings A good eye, steady hand, and the patience to revise till it feels right What you’ll be doing You'll work on layout plans, furniture details, and working drawings using AutoCAD You'll create 3D views and presentation visuals using 3Ds Max You'll help with mood boards, space planning, and site coordination You’ll support the team from first sketch to final touches How to apply : Click on Apply and make sure to upload both your resume and portfolio. Applications without a portfolio will not be considered. Happy Applying!

Job Title: Senior Performance Testing Engineer / Performance Engineer Experience: 8–10 Years Location: Gurgaon (Onsite) Working Hours: 12:00 PM – 9:00 PM IST Job Type: Full-Time About ElevenX Capital: ElevenX Capital is a venture studio and venture capital fund that builds companies from the ground up. Founded in 2014 by serial entrepreneur Anjli Jain, ElevenX redefines the traditional venture capital model by combining ideas, capital and talent to create and scale companies across various sectors, including cybersecurity, artificial intelligence, and education and workforce management. The firm brings together experienced entrepreneurs and value creation specialists in marketing, sales, engineering, talent, legal and finance to support the development of new ventures from inception to scale. Job Summary: We are seeking a highly skilled Performance Testing Engineer with 8–10 years of experience in performance engineering across complex web and mobile applications. The ideal candidate should have strong technical expertise in React.js, React Native, Node.js, Spring Boot, Java, along with deep knowledge of MongoDB, MySQL, and experience with AWS infrastructure, profiling, and monitoring tools. Key Responsibilities: • Plan, design, and execute performance tests (load, stress, endurance, scalability) for frontend, backend, and database layers. • Develop automated performance test scripts using tools such as JMeter, k6, Gatling, Locust, etc. • Conduct Java/Node.js profiling using VisualVM, JFR, YourKit, and analyze JVM metrics (GC, heap, threads). • Perform network simulation and latency analysis; troubleshoot application response issues. • Monitor and optimize application performance on React, React Native, backend Node.js, Spring Boot/Java, and databases (MongoDB, MySQL). • Define and track server KPIs: CPU, memory, I/O, latency, throughput, GC performance, and thread utilization.• Utilize tools like New Relic, Dynatrace, Grafana, Prometheus, ELK, or AWS CloudWatch for end-to-end monitoring. • Collaborate with development, QA, DevOps, and architecture teams to recommend tuning strategies and resolve performance bottlenecks. • Ensure scalable, fault-tolerant architecture design in AWS cloud environments. Required Skills & Qualifications: • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • 8–10 years of solid experience in performance testing, tuning, and analysis. • Strong command of React.js, React Native, Node.js, Java, Spring Boot. • In-depth experience with MongoDB and MySQL, including performance analysis and tuning. • Proficient in scripting and automating performance tests (e.g., Bash, Python, Groovy). • Sound understanding of cloud performance engineering on AWS (EC2, ELB, Auto Scaling). • Ability to interpret performance results and provide actionable insights. • Familiarity with CI/CD pipelines and integration of performance tests in Jenkins/GitLab. Preferred Skills: • AWS Certification or Performance Engineering certifications. • Experience in SaaS, microservices, or container-based (Docker/Kubernetes) ecosystems. • Prior exposure to Agile environments and performance in CI/CD workflows.

We are looking for a proactive and detail-oriented Project Coordinator – Civil to support the planning, coordination, and execution of road construction projects. The ideal candidate will assist project managers and site engineers to ensure timely delivery, resource planning, documentation, and compliance with quality and safety standards. Key Responsibilities * Assist in planning, scheduling, and coordinating project activities for road and highway construction works. * Track daily progress and prepare reports on work status, materials, manpower, and equipment usage. * Coordinate with subcontractors, vendors, and suppliers to ensure timely availability of materials. * Maintain all project documentation including drawings, work permits, site instructions, and logs. * Liaise between site teams and office teams for smooth communication and project flow. * Monitor site safety practices and escalate non-compliance issues. * Support in preparing DPRs (Daily Progress Reports), MPRs (Monthly Progress Reports), and client submissions. * Assist with quantity take-offs, bill verification, and coordination for measurements. * Maintain project tracking tools, update schedules, and assist in preparing invoices and work certifications. * Ensure compliance with project specifications, drawings, and contract terms. Required Skills and Qualifications * Diploma or Bachelor’s Degree in Civil Engineering or equivalent. * 2–5 years of experience in road construction or infrastructure projects, preferably with a contractor. * Strong understanding of road layers (subgrade, GSB, WMM, DBM, BC), drawings, and execution techniques. * Proficient in MS Office (Excel, Word, PowerPoint); experience with AutoCAD and project management tools is a plus. * Good communication, coordination, and documentation skills. * Ability to work under pressure and travel to project sites as needed. Preferred Qualifications * Experience working with government or NHAI road projects. * Knowledge of MORTH specifications and quality control procedures. * Familiarity with ERP software or site management tools. Job Type: Full-time Pay: ₹50,000.00 - ₹150,000.00 per month Benefits: Food provided Schedule: Day shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Dharwad, Karnataka: Reliably commute or planning to relocate before starting work (Preferred) Experience: project Manager : 7 years (Required) Work Location: In person

Job Description We are looking for a great JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality products are important. Responsibilities Developing new user-facing features using React.js Building reusable components and front-end libraries for future use Translating designs and wireframes into high-quality code Optimizing components for maximum performance across a vast array of web-capable devices and browsers Ensure the technical feasibility of UI/UX designs Assure that all user input is validated before submitting it to the back-end Collaborate with other team members and stakeholders Skills And Qualifications Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model Thorough understanding of React.js and its core principles Experience with popular React.js workflows (such as Flux or Redux) Familiarity with newer specifications of EcmaScript Experience with data structure libraries (e.g., Immutable.js) Knowledge of isomorphic React is a plus Familiarity with RESTful APIs Knowledge of modern authorization mechanisms, such as JSON Web Token Familiarity with modern front-end build pipelines and tools Experience with common front-end development tools such as Babel, Webpack, NPM, etc. Ability to understand business requirements and translate them into technical requirements A knack for benchmarking and optimization Familiarity with code versioning tools {​{such as Git, SVN, and Mercurial} }

We are seeking a highly experienced and hands-on Fullstack Architect to lead the design and architecture of scalable, enterprise-grade software solutions. This role requires a deep understanding of both Frontend and Backend technologies, cloud infrastructure, and microservices, with the ability to guide teams through technical challenges and solution delivery. Key Responsibilities Architect, design, and oversee the development of full-stack applications using modern JS frameworks and cloud-native tools. Lead microservice architecture design, ensuring system scalability, reliability, and performance. Evaluate and implement AWS services (Lambda, ECS, Glue, Aurora, API Gateway, etc.) for backend solutions. Provide technical leadership to engineering teams across all layers (frontend, backend, database). Guide and review code, perform performance optimization, and define coding standards. Collaborate with DevOps and Data teams to integrate services (Redshift, OpenSearch, Batch). Translate business needs into technical solutions and communicate with cross-functional stakeholders. Required Skills Deep expertise in Node.js , TypeScript , React.js , Python , Redux , and Jest . Proven experience designing and deploying systems using Microservices architecture . Strong understanding of AWS services: API Gateway, ECS, Lambda, Aurora, Glue, SQS, OpenSearch, Batch. Hands-on with MySQL , Redshift , and writing optimized queries. Advanced knowledge of HTML, CSS, Bootstrap, JavaScript . Familiarity with tools: VS Code , DataGrip , Jira , GitHub , Postman . Strong knowledge of architectural design patterns and security best practices. Preferred Experience working in fast-paced product development or startup environments. Strong communication and mentoring skills. Education & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 6–10 years of experience in full-stack development, with at least 4 years in an architectural or senior technical leadership role. How to Apply: Please send your updated CV to hiring@acmeminds.com , clearly mentioning the Job Code FSARCH-25 in the subject line of the email. e.g., [Subject: Application for Job Code: FSARCH-25] Location: IT Park, Chandigarh

Job Title: Senior Quality Assurance Automation Engineer (Full-Stack Tester - UI & API) Location: Gurgaon, Haryana, India (On-site) Job Type: Full-time, Permanent Joining: Immediate Do you have a keen eye for detail and a passion for ensuring flawless software quality from the user interface to the deepest backend services? TWOSD Technologies Limited is urgently looking for a meticulous and skilled Software Quality Engineer to join our team in Gurgaon. In this role, you will be the guardian of our application's quality, responsible for testing both our frontend and backend systems to ensure they are robust, reliable, and secure. What You Will Do (Key Responsibilities): End-to-End Test Strategy: Design, develop, and execute comprehensive test cases and test plans covering both frontend and backend functionality. Frontend Quality Assurance: Validate that UI components in our web applications behave as expected and align perfectly with design specifications and user stories. Perform accessibility testing to ensure compliance with standards like WCAG. Develop and maintain automated UI tests using modern frameworks like Selenium or Cypress . Backend & API Testing: Conduct thorough functional, regression, integration, and load testing on our backend microservices and APIs. Automate API tests using tools like Postman, REST Assured, or similar frameworks to verify functionality, CRUD operations, error handling, and response codes. Validate data consistency and integrity across different layers of the application and within databases. Perform security testing to identify and report backend vulnerabilities (e.g., SQL injection, insecure authentication/authorization). Process Improvement: Monitor system logs and error reports to proactively identify issues, analyze root causes, and work with developers to resolve them. What You Bring (Qualifications): 4+ years of experience in a software testing or QA engineering role. Proven experience testing both frontend/UI and backend/API layers of a web application. Strong hands-on experience with UI automation frameworks (e.g., Selenium, Cypress, Playwright). Expertise in API testing and automation tools (e.g., Postman, REST Assured, SoapUI). Solid understanding of RESTful APIs, JSON, and HTTP protocols. Familiarity with database concepts and the ability to write basic SQL queries for data validation. Experience working in an Agile/Scrum development environment. A meticulous approach to testing and a strong analytical mindset for troubleshooting complex issues. Bonus Points: Experience with performance or load testing tools (e.g., JMeter, Gatling). Knowledge of basic security testing principles and tools. Why Join Us? At TwoSD , innovation isn’t a department—it’s a mindset. Here, your voice matters, your expertise is valued, and your growth is supported by a collaborative culture that blends mentorship with autonomy. With access to cutting-edge tools, meaningful projects, and a global knowledge network, you’ll do work that counts—and evolve with every challenge. How to Apply Interested candidates can apply through this LinkedIn job post, or Email at tag@2sdtechnologies.com If you are passionate about quality and ready to make a significant impact, we want to hear from you! This is an immediate opening. #Hiring #QAEgineer #SoftwareTester #AutomationTesting #APITesting #Selenium #Cypress #Postman #FullstackTester #GurgaonJobs #QualityAssurance #TechJobs #HiringImmediately

Role: Network Security Engineer (WAF F5) - L2 Experience: 3 to 6 years of experience working on Network Security Location: Mumbai Product Certification F5 WAF Certified Professional Required Candidate profile Overall 3-6 years’ experience in network security with at least 3 years in managing WAF solutions Proficiency with management WAF Experience in working with Windows, Linux, Unix environments Hands-on experience in commissioning and Implementation of WAF solutions and integrating with various management and authentication authorization tools (email, AD, IAM, SIEM) Experience in automating processes using scripting, configuration (SOAR) tools Experience in managing policies and exceptions Experience in packet capture, analysis, and troubleshooting tools Product knowledge of WAF solution. Incident, problem, service request management, change management, configuration management & capacity management of WAF Setup Proactively utilize network monitoring tools to isolate events before service degradation occurs Supporting incident monitoring and incident analysis/response initiatives Coordinate with users to ensure timely and satisfactory resolution for any trouble tickets, troubleshooting layers 1, 2, and 3 of the OSI Model. Troubleshooting network, transport, session, presentation and applications layers Conducting daily performance checks on devices, periodic audits and compliance Performing immediate troubleshooting as the situation dictates for any network outages as reported by users, sensors, and/or operational personnel Implement, and maintain network security policy, standards, and procedures. Deploying and maintaining access and security policies for WAF solutions. Maintaining service levels as well as oversight of the day-to-day configuration, administration and monitoring of the network security infrastructure in a 24/7. Co-ordination with OEMs for TAC support, RMA, replacement & and reconfiguration of WAF. Creating technical documentation, as-built network diagrams, inventory control documentation, and security documentation. Co-ordinate helpdesk team, other IT support teams, and application support teams to jointly troubleshoot and fix the high priority/severity incidents. Investigate, isolate, and resolve WAF incidents with RCA. Designing and implementing WAF solutions for DC/DR/Cloud and Branch office environments. Create SOP/Run book and update knowledgebase in ITSM tools. Work to automate and integrate the tools with REST API/SDK with security dashboard, and Infosec tools (AD, IDAM, PAM, SIEM, SOAR, etc.) Closure of compliance and audit points as per the agreed timelines. Patch updates, and upgradation as per the Bank's compliance and audit requirements Should be able to Lead and mentor L1 & L2 engineers team. Must be comfortable in reading packet captures and analysis (Wireshark/Pcap). Excellent verbal and written communication skills Demonstrated success in managing, analyzing, and solving complex issues Ownership of their technology. Ensure Ticket closure in SLA and follow up for escalated tickets SLA reporting for respective technology. Job Type: Full-time Pay: Up to ₹1,000,000.00 per year Schedule: Day shift Supplemental Pay: Performance bonus Application Question(s): Did you worked in the domains like WAF F5? How many years of experience in Network Security? Experience: minimum: 3 years (Required) Location: Navi Mumbai, Maharashtra (Required) Work Location: In person

Job Description: Designing & developing new products and maintaining existing products. Contribute on several layers of the LAMP stack from database, to server, to front end. To work collaboratively with team and other departments. Add new features and fix code defects in web applications. Solid understanding of design patterns and its applications. Evangelist of open source technologies. Strong contribution to open source technologies Good Communication, strong client-facing skills. Desired Requirements: Expertise in Core PHP, MySQL. Frameworks - CodeIgniter. Expertise in front-end development Experience in MVC architecture. Knowledge in GitHUB, SVN Familiar with API's, JSON, SOAP, REST Education : Any Degree Experience : 2 – 4years Job Type: Full-time Ability to commute/relocate: Ernakulam, Kerala 682020: Reliably commute or planning to relocate before starting work (Preferred) Experience: PHP Development: 3 years (Required) Codeigniter Framework: 4 years (Required) Work Location: In person

Designation - Consulting Manager/Associate Director (based on fitment) Business - Talent Solutions Consulting Team - Executive Compensation & Governance Role Type- Core Client Facing Annual Revenue Responsibility - Yes Travel Required- Yes Location - Gurgaon/Bangalore Education & Experience Post- Graduate with 6 to 8 years of relevant experience MBA from tier-1, tier -2, schools is an advantage, Hands-on experience in Executive Compensation or Deep experience in broad- Rewards. About AON Aon is in the Business of Better Decisions At Aon, we partner with our clients to help shape business decisions for the better. We are not tied to a traditional way of doing things. That is why we can best prepare organizations to manage the challenges of the volatile world in which we now live. We give our clients the clarity and confidence to make better decisions that protect and grow their businesses. About Human Capital Solutions Aon's human capital business, spanning 2,000 colleagues in more than 30 countries, is home to the firm's rewards, talent assessment, and performance & analytics practices. We apply this expertise, and our market-leading workforce data, to help clients tackle transformational projects. Aon’s rewards practice, including the McLagan and Radford survey platforms, provides industry-focused compensation insights to more than 7,000 clients each year. We also advise clients on the design of executive, employee and sales compensation plans in markets around the globe. About Executive Compensation and Governance Aon's Executive Compensation and Governance practice addresses critical Performance, Rewards and Select Talent Issues concerning Boards and Executive Management, Aligning pay and performance because establishing an appropriate link between the two is what matters most to your people and shareholders Best-in-class data assets that go beyond the Top 5 and provide a consistent framework to evaluate other layers of executive management Deep sector expertise allowing us to understand the business issues and find solutions that work within the context of our competitive landscape Collaborative approach between the advisor, compensation committee and management, understanding that effective solutions can’t be achieved unless all stakeholders are active participants in the process Integrated Executive pay, governance and equity lifecycle support Role Responsibilities You will be expected to research and understand Industry Archetypes and Business Models. You will apply this knowledge to advise and enable solution delivery on matters of Rewards, Performance and Talent to Boards and Executive teams. You will be expected to design business-aligned executive remunerations strategies. You will be expected to engage with clients on projects related to Senior/Top Management and Board compensation. These projects would typically be around structuring and benchmarking of CXO level pay and involves working with client representatives (typically senior HR executives like Head C&B, Head HR; CEOs, Compensation Committees) in defining the right comparator group(s), collection of market data from primary and secondary sources, analysis of market data, report preparation and presentations to the top management and/or the Compensation Committee of the Board. You will also be expected to engage with clients in designing stock and cash based long term incentive programs for the senior management (or even for broad-based population). You will be expected to interface with Aon’s advisory and advisory teams for integrated projects in the areas of broad-based compensation, talent assessments, talent advisory, HR effectiveness and organization effectiveness. You will be expected to develop a very strong understanding of relevant laws and regulations pertaining to executive compensation and share-based compensation (e.g. relevant sections of Companies Act, SEBI Regulations on Share Based Payments etc.) and be up to date with any changes You will be expected to build the Governance business and engage with clients in the areas of Board Evaluation, trainings for Compensation Committees as per the requirements under Companies Act - 2013, SEBI Listing Agreement etc. and develop new offers in this field. You will also be additionally responsible for People management, typically a team of 3-4 colleagues. Thought leadership, typically leading 2 research studies Revenue management, Strategic longitudinal HR Advisory Skills & Experience Ability to interact and manage expectations of C-suite executives Exposure to below areas is an Advantage Rewards, Consulting, Exposure to Financial Modelling, Experience on Strategic HR Projects Any of the below professional qualifications is an added advantage CA, CS, CFA, LLB. Awareness of macro-economics, excel modelling and data-based storytelling 2555322

Experience : 5.00 + years Salary : USD 2857-3214 / 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: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams 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 CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset 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 : 5.00 + years Salary : USD 2857-3214 / 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: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams 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 CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset 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 : 5.00 + years Salary : USD 2857-3214 / 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: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams 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 CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset 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 : 5.00 + years Salary : USD 2857-3214 / 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: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams 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 CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset 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 : 5.00 + years Salary : USD 2857-3214 / 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: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams 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 CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset 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 : 5.00 + years Salary : USD 2857-3214 / 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: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams 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 CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset 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 : 5.00 + years Salary : USD 2857-3214 / 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: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams 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 CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset 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 : 5.00 + years Salary : USD 2857-3214 / 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: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams 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 CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset 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 : 5.00 + years Salary : USD 2857-3214 / 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: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams 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 CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset 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 : 5.00 + years Salary : USD 2857-3214 / 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: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams 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 CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset 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 : 5.00 + years Salary : USD 2857-3214 / 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: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams 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 CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset 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 : 5.00 + years Salary : USD 2857-3214 / 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: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams 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 CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset 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!