Lead - Automation & ETL Test Engineer
Job Posted On: 15-05-2026 12:16:00
Job Code: Job_304208
Experience Required: 8 - 12 years
Location
- Chennai, Tamil Nadu, India (CHN)
Job Summary
We are seeking a Senior QA Engineer with over 8 years of experience to lead our quality initiatives. This is a high-ownership role requiring a veteran who can architect automation frameworks, manage complex data environments, and integrate cutting‑edge AI tools into the QA lifecycle. You will be the primary advocate for quality, ensuring our systems are scalable, reliable, and performant.
Key Responsibilities
- Strategic Leadership: Define the long‑term QA roadmap, balancing manual exploratory testing with advanced automation.
- Framework Architecture: Design and optimize Selenium‑based frameworks that are maintainable and scalable across multiple projects.
- Complex Data Validation: Perform deep‑dive backend testing using advanced SQL, including stored procedures, triggers, and performance tuning.
- AI Integration: Act as a subject matter expert in GitHub Copilot and MCP (Model Context Protocol) to automate repetitive tasks and accelerate test script development.
- Cross‑Functional Collaboration: Work closely with DevOps and Product teams to ensure quality is "shifted left" in the development cycle.
Required Technical Skills
- Experience: 8+ years in Software Quality Assurance with a heavy focus on automation.
- Automation Mastery: Expert‑level proficiency in Selenium and at least one programming language (Java, C#).
- Database Expert: Advanced SQL skills for complex data verification and ETL testing.
- Modern Workflow: Hands‑on experience using GitHub Copilot for code generation and familiarity with connecting MCP servers to LLMs for enhanced technical context.
- Ownership Mindset: Proven track record of taking full accountability for the quality of entire product modules or platforms.
Preferred (Bonus) Skills
- GCP (Google Cloud Platform): Professional experience testing applications hosted on GCP, including knowledge of BigQuery, Cloud Functions, or Pub/Sub.
- Mentorship: Experience mentoring junior QA engineers and performing code reviews for automation scripts.
- Core Competencies
- Root Cause Analysis: Ability to not just find bugs, but to diagnose why they happened at the architectural level.
- Adaptive Learning: A proven ability to stay ahead of the curve (e.g., adopting AI tools like Copilot before they become industry standard).
- Communication: Ability to influence stakeholders and push for quality‑focused technical debt resolution.