What We Are Looking For: Strong hands-on experience in writing, maintaining, and executing test cases for functional, integration, regression, and end-to-end testing scenarios Proficient in writing clear, comprehensive, and well-structured test cases based on requirements and use cases. Proficiency in automation tools such as Selenium and Postman, along with solid scripting skills using JavaScript/TypeScript Ability to build and enhance test automation frameworks, and integrate them into CI/CD pipelines using tools like GitLab Thorough understanding of QA processes, including test planning, defect tracking (Jira), cross-browser/device testing, and collaboration in Agile/Scrum environments Responsibilities: Maintain and enhance the existing test automation framework integrated with CI workflows Design, write, and maintain detailed test cases and test plans for web and API-based applications Develop, execute, and manage automation scripts using Selenium, Postman, and relevant frameworks Maintain and improve the existing test automation framework integrated into CI/CD pipelines Perform manual testing when needed to validate user stories and features Conduct functional, regression, load, performance, and compatibility testing Work closely with developers, product managers, and QA leads to identify test requirements and strategies Track, log, and verify bugs using tools like Jira, ensuring timely resolution Collaborate in Agile ceremonies (stand-ups, sprint planning, retrospectives) to ensure test coverage and product quality Qualifications: Bachelor s degree in computer science or related field Minimum of 2 years of QA experience with at least 1-2 years in test automation Proficiency in JavaScript/TypeScript for scripting automation Knowledge of cloud-based testing and monitoring tools (AWS, CloudWatch) Hands-on experience with Git, GitLab CI/CD pipelines, and service-oriented architecture Strong analytical, problem-solving, and communication skills Highly motivated, detail-oriented, and able to work independently in a remote setting
What we are looking for 3 5 years of strong backend development experience with a focus on Node.js and Express.js. Mandatory hands-on experience in Microservices architecture and service-to-service communication. Proven expertise in designing and developing GraphQL-based APIs. In-depth experience with MongoDB and schema design using Mongoose or native drivers. Proficiency in JavaScript (ES6+) and familiarity with RESTful APIs and API Gateway patterns. Experience with Git version control and agile development practices. Responsibilities: Lead the development and maintenance of backend applications using Node.js. Develop and maintain backend microservices using Node.js and Express.js as a core responsibility. Design and implement GraphQL APIs to support modern web and mobile applications. Build and optimize scalable, secure, and high-performing backend services with MongoDB. Implement authentication, authorization, and secure data access protocols. Ensure performance, reliability, and scalability within a Microservices-based architecture. Collaborate with cross-functional teams including front-end engineers and product stakeholders. Participate in code reviews, enforce best practices, and contribute to continuous improvement. Deploy, monitor, and troubleshoot services running within distributed systems and microservices ecosystem. Qualifications: Bachelor s or master s degree in computer science, Information Technology, or related field. Mandatory experience in Microservices architecture and distributed backend systems. Strong hands-on experience with Node.js, Express.js, and modern JavaScript (ES6+). Expertise in building and managing GraphQL APIs (Apollo Server/Client). Solid understanding of MongoDB with experience in schema modeling and optimization. Familiarity with API Gateways, containerization tools (Docker), and CI/CD practices. Strong understanding of Git-based version control and collaborative workflows. Knowledge of cloud-native environments (AWS, GCP, etc.) is a plus.
What We Are Looking For: 5 15 years of proven experience in product management with a strong focus on AI, machine learning, and data-driven solutions. Demonstrated Hands-on experience managing full product lifecycle from ideation, development, and launch to scale. Strong technical background in AI/ML, data platforms, scalable architectures, and cloud technologies (AWS, GCP, Azure). Deep business acumen with experience in P&L ownership, GTM strategy, and cross-functional stakeholder management. Analytical mindset with proficiency in KPIs, dashboards, and product performance metrics using BI tools like Tableau, Power BI, or similar. Demonstrates a strong ability to comprehend and influence technical decision-making, while effectively translating complex technical concepts into clear, business-oriented language for stakeholders. Exhibits strong problem-solving abilities with a bias for action, balancing immediate priorities with long-term vision while adapting to high-growth and ambiguous environments. Responsibilities: Define and articulate the strategic vision for AI and Data products in alignment with organizational goals and evolving market demands, leveraging robust market research and competitive analysis to identify trends and opportunities. Develop and maintain comprehensive product roadmaps, ensuring clear prioritization and balance between technical feasibility, business value, and customer needs. Conduct competitive analysis, user research, and discovery to identify gaps, trends, and value opportunities. Lead the full product development lifecycle from concept and prototyping through launch and scaling, ensuring all product features consistently meet defined functional, technical, and performance standards. Collaborate with engineering teams to architect robust product solutions, including data pipelines and AI/ML integrations while driving agile development processes, maintaining clear sprints, product backlogs, and delivery timelines. Build and execute go-to-market (GTM) strategies, including messaging, positioning, customer engagement, and feedback loops. Manage internal and external stakeholders to ensure successful launches and continuous product iterations. Define and monitor key performance indicators (KPIs), ROI, and success metrics to guide product decisions and scaling. Demonstrates deep technical expertise to effectively guide technology choices including AI/ML frameworks and data integration pipelines while fostering clear communication with technical teams and staying abreast of advancements in AI, machine learning, data platforms, and cloud technologies. Qualifications: Bachelor s or master s in computer science, Data Science, Engineering, or related field. Strong understanding of AI/ML concepts (NLP, supervised/unsupervised learning, computer vision). Proficiency in product development methodologies (Agile, Scrum) and tools (Jira, Confluence). Experience working with tools and languages like Python, SQL, Tableau, Power BI, or similar. Certified Product Management credentials (e.g., Pragmatic, AIPMM, SAFe) are a plus. Demonstrates exceptional communication, stakeholder management, and collaboration skills to effectively align cross-functional teams and drive results.