Senior Quality Assurance Automation Engineer

● B.S. or M.S. in Computer Science, Software Engineering, or a related technical fi eld.

● 5+ years in Software Testing and Quality Engineering, heavily focused on code-driven UI and API automation.

● Full-stack testing expertise, seamlessly validating both frontend web applications and complex backend systems.

Engineering & Automation Skills

● Strong programming chops in modern OOP or functional languages (e.g., Python, TypeScript, Java, C#) to build robust automation from scratch.

● Architectural mindset for designing scalable test frameworks (like Page Object Model) and developing reusable, custom programmatic components.

● Deep data & API validation, automating complex checks across REST APIs and deep database integrations (SQL or NoSQL).

● CI/CD & version control mastery, expertly navigating advanced Git workfl ows and integrating code-driven test suites directly into deployment pipelines.

● Performance testing experience using programmatic frameworks to validate system latency and scalability under load.

Strategy, Leadership & Compliance

● Strategic QE leadership in fast-paced environments, driving overarching automation strategy as a QA/Tech Lead.

● Comprehensive test planning, covering functional, regression, integration, and non-functional validation.

● Compliance & Agile knowledge, navigating enterprise Quality Management Systems (QMS), audit-ready traceability, and Agile defect tracking (Jira, Bugzilla, etc.).

● Exceptional communication & mentoring, bridging the gap between QA, engineering, and product teams during defect triage and planning.

AI & Future-Forward Tech

● Early adopter mindset, eager to learn new skills and leverage AI-assisted workfl ows to accelerate engineering processes.

● GenAI & ML validation expertise, with hands-on experience in LLM & RAG evaluation, hallucination detection, and model drift monitoring.

● Agentic AI integration, experienced in utilizing MCP servers and AI agents to enhance QA workfl ows

Responsibilities:

● Responsible for independently and cooperatively understanding business requirements.

● Architecting, designing and implementing a reliable and scalable automation framework for a real-world machine learning platform.

● Automating tests to assure functional requirements and performance KPIs are met.

● Ensuring high product quality through rigorous functional and API level tests

● Identify, record, document thoroughly and track bugs

● Perform thorough regression testing when bugs are resolved

● Providing technical and group leadership to fellow team members

● Collaborate on the design and implementation of AI/ML-driven enhancements to QA workfl ows and automation strategies

● Build and shape AI‑powered QA systems: Work on AI‑augmented quality engineering where intelligent systems assist with test generation, prioritization, and analysis—while engineers provide judgment, validation, and quality leadership.

● Move QA from execution to intelligence: Be part of an organization evolving toward AI‑native quality engineering, where repetitive testing is increasingly automated and senior engineers focus on risk, system behavior, and release confi dence.