Staff SDET

The core responsibilities for the job include the following:
Quality Strategy and Architecture:
Define and own the testing pyramid across unit, integration, component, E2E, contract, and accuracy regression layers.
Set coverage and quality gates by repo/component risk tier and drive engineering alignment.
Define testable-by-design patterns such as dependency injection, interface boundaries, and shift-left test requirements for CI/CD.
Quality and Accuracy Gates:
Own CI/CD quality gates, including static analysis, coverage enforcement, component/E2E checks, and accuracy regression checks.
Partner with DL/engineering teams to make model accuracy regression a first-class release gate.
Define fast vs. full regression strategies and thresholds for PRs vs. main branch releases.
Ensure quality gates are visible, stable, and trusted by engineering teams.
Metrics, SLOs, and Reliability:
Build and own quality metrics: coverage, defect escape rate, accuracy per specialty, alert volume, code quality score, and reliability trends.
Lead defect retrospectives and ensure every escaped defect results in a test, monitor, or process improvement.
Partner on canary accuracy monitoring, incident-response quality bar, and SRE-AI feedback loops.
Leadership and Mentorship:
Mentor SDETs through structured reviews, code reviews, and development planning.
Influence engineers across squads without relying on reporting authority.
Champion quality is built in, not tested in, across engineering.
Partner with the AI Agents Engineer to evaluate and improve the Testing Agent.
Requirements:
7+ years of SDET/QA engineering experience, including at least 2 years at the Sta/Principal/Lead level or equivalent scope.
Strong hands-on automation depth across at least two test frameworks, including pytest and/or Java-based frameworks such as JUnit/TestNG.
Strong Java and Spring understanding; able to read application code, identify testability issues, and review test design meaningfully.
Hands-on CI/CD quality pipeline ownership; has written CI YAML, configured required checks, and debugged pipeline/test infrastructure issues.
Experience with static analysis and quality tools such as SonarQube, mypy, pylint, Checkstyle, SpotBugs, or equivalent.
Experience with contract/component testing for distributed services.
Experience with Docker and containerized test environments.
Experience defining test strategy from scratch for inherited systems and driving remediation using data.
Experience with ML/model regression or accuracy evaluation, or strong adjacent experience in data-heavy correctness testing.
Strong SQL and BigQuery ability for defect analysis, trend rollups, accuracy/reliability correlation, and dashboard validation.
Excellent leadership communication: can present quality health to engineering leadership with data and clear recommendations.

Experience
7-11 yrs