Senior QA Engineer (Automation + AI-Native)

Location: Bangalore (Work from Office)

Team: Core Engineering

Why This Role Exists?

We ship fast.

We build complex systems.

We dont tolerate regressions.

Were looking for a Senior QA Engineer who can build a serious automation engine not just write test scripts.

You will use AI tools (including Claude Code) to generate deep, adversarial test scenarios, refine them into production-grade suites, and wire them into CI so nothing broken ever reaches production.

If you think QA means clicking through UIs manually this isnt the role.

What You Will Own?

Build our automated test architecture from the ground up

Generate edge-case-heavy test scenarios using AI tools

Convert AI drafts into deterministic, stable, non-flaky automation

Design integration and system-level tests for distributed systems

Own CI quality gates (coverage, regressions, performance thresholds)

Break the system before customers do

Create performance and stress test harnesses

Establish testing standards across teams

You are not here to validate code. You are here to challenge it.

What You Must Be Strong At:

5+ years in automation-heavy QA roles

Strong coding skills (Java / Python / JavaScript)

Building automation frameworks not just maintaining them

API testing and backend validation

Writing integration and concurrency tests

CI/CD integration (GitHub Actions, Jenkins, GitLab CI, etc.)

SQL and data validation

Understanding race conditions, retries, idempotency, and async systems

Qualifications required:

5+ Years of relevant experience

B.E / B.Tech (CS/IT) from a reputed institute

What Makes You A Great Fit:

You think in failure modes.

You dont trust happy paths.

You care about deterministic tests.

You hate flaky builds.

You see AI as leverage not a shortcut.

You prefer writing code over writing test reports.

Bonus Points:

Experience testing event-driven or streaming systems

Performance testing at scale

Experience in SaaS or multi-tenant systems

Exposure to containerized environments (Docker/K8s)

What Success Looks Like (612 Months):

Near-zero regression escapes

Fully automated CI with strong coverage gates

High-confidence releases

A test architecture other teams want to copy