L2 SDET Engineer

As our systems grow in complexity and volume, the risk of regressions and deployment failures increases exponentially. We need an L2 SDET who can go beyond writing scripts to architecting test frameworks that are scalable, stable, and AI-leveraged. You will ensure that our high-velocity deployment pipeline (moving real money) remains robust while reducing manual intervention to near zero.

• Framework Architecture: Design and optimize high-performance automation frameworks using Java/RestAssured and JS/Playwright.
• DevOps & Infrastructure: Own the integration of tests into CI/CD pipelines and manage containerized test environments (Docker/Kubernetes).
• Performance Engineering: Architect load and stress testing suites using JMeter or k6 to simulate high-traffic financial events.
• AI Integration: Establish patterns for the team to use AI (Copilot, LLMs) for synthetic data generation and automated RCA (Root Cause Analysis).
• Fintech Accuracy: Develop complex test scenarios for transaction idempotency, ledger consistency, and financial calculation validation
• Mentorship: Provide technical guidance and code reviews for L1 SDETs to ensure high standards of "Clean Code."

• Automation Coverage: 100% coverage of "Critical Path" financial flows within the same sprint
• Efficiency: 40%+ reduction in regression time through parallelization and AI-assisted scripting.
• Reliability: Zero high-priority escaped defects in production.
• Leadership: Successfully mentoring L1s to improve their technical depth and velocity

• 3 to 7 years of experience in SDET or Backend Development roles.
• Advanced Coding: Expert proficiency in Java /JavaScript/Python
• Architectural Depth: Proven experience building or significantly extending automation frameworks (RestAssured/Playwright).
• Fintech Logic: Strong understanding of relational databases (SQL) and API security (OAuth, HMAC signing).
• Tooling: Expert knowledge of Maven, TestNG, and Git (complex branching/merging).
• Problem Solving: Strong fundamentals in Data Structures and Algorithms

• Cloud Infrastructure: Deep familiarity with AWS (S3, CloudWatch, EKS).
• Containerization: Experience managing test runners in Docker or Kubernetes.
• Performance: Hands-on experience with JMeter or k6 for load testing.
• AI Native: Proactive use of AI tools to increase engineering velocity.