Overview
Senior Quality Assurance Engineer role at Konovo's Whitefield-based India team, the innovation hub for scaling product and technology globally. The role helps shape how quality is engineered across the platform, not just how software is tested.
What you'll do
- Define and scale quality engineering standards, quality gates, and release-readiness frameworks across multiple squads.
- Architect end-to-end test strategy covering UI, API, database, integration, security, and performance testing.
- Drive shift-left quality practices across the SDLC; partner with developers to embed quality in PRs and release cycles.
- Implement risk-based testing and prioritization to uncover hidden gaps early and focus effort on the highest-impact areas.
- Design, build, and scale enterprise automation frameworks; expand end-to-end automation for critical business workflows.
- Reduce manual regression through intelligent automation; improve stability, minimize flaky tests, and strengthen CI/CD quality signals.
- Partner with Konovo's global teams to integrate AI into QE (test generation, defect classification, automated RCA, trend prediction, flaky detection, release health dashboards).
- Define performance benchmarks, identify bottlenecks across services/APIs/data flows, and drive scalability, reliability, and response-time improvements.
- Establish continuous monitoring and observability standards; track pipeline health, failures, and release stability in real time.
- Own end-to-end QA delivery across global teams; drive risks/blockers to closure and provide executive-ready quality metrics, trends, and recommendations.
What you'll need
- 6+ years in software testing/quality engineering, including test automation and/or test architecture, in product environments.
- Strong ownership and clear cross-functional communication.
- Hands-on depth in UI/API automation, integration and database testing, performance testing, and building test frameworks.
- Strong CI/CD quality engineering and observability exposure (e.g., Jenkins/GitHub Actions, Grafana).
- Cloud familiarity (AWS/Azure/GCP).
- Proficient in Java/JavaScript (or similar) and modern automation tooling (e.g., Playwright/Cypress, K6, JMeter, Agentic AI, MCP servers).
- Mentor and grow engineers through clear feedback and hands-on support.
- Operate effectively in ambiguous, global, fast-moving environments.
- Apply and experiment with AI-enhanced engineering workflows with strong judgment and responsibility.
Details
- Location: Bengaluru (Whitefield), Karnataka, India.
- Hybrid work environment.
Read the full description and apply on the company’s own careers page.