QA Engineer

Software Developer in TestOnsite in Foster City, CA | 5 days in officeResponsibilities: - Design, build, and maintain automated test suites for backend APIs, background workers, and related microservices across development, staging, pre-production, and production environments - Support release validation for versioned service deployments, including regression sign-off before production rollouts - Develop and extend performance and load tests (K6 or equivalent) against REST APIs, including realistic data-driven scenarios at scale - Integrate automated tests into CI/CD pipelines and release workflows - Validate release-critical behavior: data consistency across environments, schema migrations, API contract changes, and cross-service integration points - Perform exploratory and component-level testing for new features and defect fixes; triage failures and work with engineering to resolution - Monitor release health using dashboards, logs, and test results; identify regressions and quality trends for stakeholders - Partner with engineering and QA to translate release requirements into automated coverage and repeatable validation checklists - Document test plans, automation design, pipeline logic, and release criteria for long-term maintainabilityRequired Skills: - Strong Python / Typescript proficiency for test automation, API testing, and data validation - Experience with REST API test frameworks (pytest, requests, or similar) and schema/contract validation - Hands-on experience with performance and load testing tools (K6, Locust, or equivalent) - Familiarity with staged software delivery: version tags, environment promotion, and production change management - Ability to write SQL for querying release and quality data to support metrics and triage - Experience with Git, code review workflows, and CI systems - Comfort debugging distributed services in containerized environments (logs, health checks, basic cluster tooling) - Strong written and verbal communication skillsNice to Have: - Experience testing geospatial, mapping, or routing-related platforms - Background validating impact-assessment or constraint-management workflows in production systems - Familiarity with observability stacks (metrics, tracing, log aggregation) for release validation - Experience with cloud data stores and query tools (S3, Athena, or similar) for test and metrics analysis - Exposure to workflow orchestration for data or test pipelines (Airflow or similar) - Practical experience using AI-assisted development tools to improve test authoring and debugging productivity - Prior work in QA, release management, or software quality metrics in a high-availability SaaS environment