Principal SDET Engineer, Snowflake
Aug 2024 - Present | Bengaluru
Technical leader on Customer Experience Engineering (CXE), shaping the architecture, reliability, and evolution of the platforms, services, and applications that Snowflake's support engineers, field teams, and customers rely on every day.
- Architected and build an AI-native SDLC automation layer at Snowflake, including deterministic code-review engine, a Confluence-backed test-plan generation pipeline an a release validation framework, replacing ad-hoc agent sessions with auditable , phase-separated workflows by Jira status, improving deliverables efficiency by 3x overall across multiple teams.
- Ideated and built AI code-review skills that combine the best of AI and human-in-the-loop review, evaluating code across pillars like correctness, performance, security, and test-case quality; delivered 500+ PR reviews in a single month, improving overall quality, reducing review cycle time by 50%, and strengthening the reliability of AI adoption in the team.
- Set technical direction and owned end-to-end delivery of CXE's microservices, data pipelines, and applications, from architecture and design through development, testing, and deployment, for systems serving large volumes of diagnostic and support data.
- Developed high-impact internal and customer-facing applications that streamlined workflows for Support and Sales Engineering, and helped Sales Engineers and Field Data Engineers build applications that improved customer efficiency and accelerated Snowflake adoption at the customer end.
- Owned end-to-end release qualification across 4 CXE applications, aligning cross-org stakeholders to establish a predictable, disciplined weekly release cadence.
- Architected a centralized release and triage dashboard alongside an automated validation framework, replacing ad-hoc sign-offs with deterministic CI/CD gates that cut release cycle times by 50%.
- Owned quality and release of CXE projects end to end, defining test strategy, quality gates, and release readiness to ship reliable software on schedule.
- Partnered directly with stakeholders to gather and refine requirements, turning them into clear, testable engineering tasks.
- Delivered AI code-review skills that combine agentic automation with human-in-the-loop review, giving faster, higher-quality review outcomes.