Performance Testing Engineer Location: Noida/Gurgaon, Mumbai Time Zone: US overlap preferred -5 Hours Duration: Full-time Requirements: - 5 TO 7 years in QA roles. - Database validation experience. - Experience with CI/CD pipelines. - Tools: JMeter, LoadRunner. - Benchmarking and optimisation post-migration.
Location: Noida/Gurgaon, Mumbai Time Zone: US overlap preferred -5 Hours Duration: Full-time Requirements: - 5 to 7 years in QA roles. - Database validation experience. - Experience with CI/CD pipelines. - Tools: Selenium, Robot Framework, PyTest. - Integration testing and reusable libraries.
Regression Testing Engineer Location: Noida/Gurgaon, Mumbai Time Zone: US overlap preferred -5 Hours Duration: Full-time Requirements: - 5 to 7 years in QA roles. - Database validation experience. - Experience with CI/CD pipelines. - Manual and automated regression suites. - Validating database compatibility and functionality.
Requirements: - Java SE, multithreading, JDBC, integration with Sybase/SQL Server. - Performance tuning and code optimization. - 57 years of backend development experience. - Refactoring legacy applications. - Strong ANSI SQL and DB interaction. - Experience with Git, CI/CD, and Agile methodologies.
Role & responsibilities The PMO Project Coordinator supports the Project Management Office in the effective execution, monitoring, and control of multiple projects. This role is crucial for maintaining alignment with timelines, budgets, and quality standards by ensuring smooth coordination, clear reporting, and strict adherence to governance frameworks. KEY RESPONSIBILITIES AND TASKS: Project Coordination & Support - Assist in the development and maintenance of detailed project schedules and plans - Track project milestones, deliverables, and dependencies - Follow up with team members to ensure timely task completion Reporting & Documentation - Consolidate weekly and monthly status reports from project teams - Create dashboards, presentations, and summaries for leadership and stakeholders - Document meeting minutes and maintain logs for risks, issues, and decisions Governance & Compliance - Support adherence to PMO processes, methodologies, and quality standards - Maintain and manage project documentation, including charters, SoWs, contracts, etc. - Assist in project audits and quality checks Communication & Collaboration - Schedule, coordinate, and facilitate internal and external meetings - Act as a liaison between project teams, Stakeholders, and cross-functional departments - Escalate issues or delays as necessary to maintain project momentum Tool & Process Management - Use project management tools (e.g., MS Project, Primavera) to update and track project activities - Maintain action item trackers, change control logs, and resource allocation charts - Support continuous improvement of PMO templates, processes, and tools Preferred candidate profile 2-5 years of experience in project coordination or similar role - Working knowledge of project management principles and tools - Primavera and MS project
Role & responsibilities 5+ years of professional experience in building Machine Learning models & systems Hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents. Experience in driving the engineering team toward a technical roadmap. Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must. Understanding of Cloud services, including Azure, GCP, or AWS Excellent communication skills to effectively collaborate with business SMEs Develop and optimize LLM-based solutions : Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures. Codebase ownership : Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices. Cloud integration : Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes. Cross-functional collaboration : Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products. Mentoring and guidance : Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development. Continuous innovation : Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.