Top Senior QA Jobs in San Francisco Bay Area, CA

Leads and develops a Quality Engineering team while defining scalable automation frameworks and AI-enabled testing workflows. Owns testing strategy across web, mobile, API, performance, accessibility, integration, and regression testing. Partners with Product, Engineering, Architecture, DevOps, and Business Analysis to advance shift-left quality, CI/CD quality gates, release readiness, platform resiliency, and quality metrics. Drives modernization of legacy tools, automation adoption, AI-assisted testing, continuous improvement, and business-aligned quality outcomes.

Designs and maintains automated test frameworks for web, API, and mobile applications. Performs functional, regression, integration, and end-to-end testing; validates APIs, databases, and integrations; integrates tests into CI/CD pipelines; manages defects; collaborates with development and product teams in Agile ceremonies; and provides quality metrics and reporting.

Ensure the quality of web applications, APIs, backend services, and mobile applications through manual and automated testing. Develop test strategies, plans, and documentation; manage defects; lead root cause analysis; integrate testing into CI/CD pipelines; validate accessibility; and mentor junior QA engineers. Collaborate with product, design, and engineering teams to improve product quality, performance, security, and user experience.

Performs automated and manual testing for mission-critical software, including component, integration, system, acceptance, database, API, and multi-tier application testing. Develops test plans, maintains automation, validates SQL data, reports quality metrics, investigates defects, and collaborates with engineering and business stakeholders in Agile Scrum environments. Provides QA leadership and mentorship while supporting enterprise, legacy modernization, greenfield, and high-availability initiatives.

Tests Salesforce configuration, custom development, integrations, data migrations, and releases for a federal modernization initiative. Develops test plans, cases, and scripts; performs functional, regression, integration, end-to-end, and UAT testing; validates Flow, Apex, LWC, SOQL, APIs, security, and reporting; manages defects; supports Agile releases and deployment stabilization; and communicates quality status to government stakeholders.

Senior Quality Assurance Engineer responsible for manual and automated testing across web and mobile platforms. The role develops test strategies, frameworks, test plans, regression suites, and AI-assisted tooling; debugs and tracks defects; and collaborates with engineering, product, design, and support teams to improve software quality.

Own quality for distributed backend services across API, contract, event, and database layers. Build Java-based test automation, validate service contracts and data, test asynchronous workflows, authentication, authorization, and configuration consistency, and integrate suites into GitLab CI/CD. Partner with platform engineers to improve testability, assess regression scope, manage defects in Jira, and drive continuous quality improvement across agile teams.

Owns end-to-end QA coverage across firmware, cloud services, and mobile applications for IoT products. Tests device-to-cloud communication, APIs, business logic, connectivity failures, offline operation, OTA updates, and rollback scenarios. Analyzes device and cloud logs, develops test data strategies, prioritizes automation scenarios, and maintains smoke and regression testing processes. Requires systems thinking, embedded and mobile testing experience, API testing, Agile QA processes, and familiarity with relevant test management tools.

Performs primarily manual QA testing across PeopleSoft, Workday, Archer, SaaS, EPM, compliance, and other enterprise applications. Executes functional, regression, integration, and UAT testing; creates test documentation; validates enhancements and fixes; conducts SQL-based data validation; supports automation; and partners with business, development, and project teams to identify risks and testing gaps.

Leads IT QA teams and quality outcomes across products and delivery areas. Responsibilities include people management, talent development, QA governance, test automation strategy, release readiness, risk management, quality metrics, stakeholder partnership, resource planning, and continuous improvement. The role manages up to 15 QA analysts and drives scalable testing practices, automation adoption, delivery confidence, and customer-focused quality results.

Leads end-to-end quality for embedded software releases through manual and automated testing, release planning, regression management, defect triage, quality gates, and post-release validation. Builds Python automation frameworks, validates embedded devices and sensor-driven systems, investigates root causes, monitors quality metrics, and supports reliable field deployments. Collaborates with engineering and product teams while mentoring junior engineers and improving QA processes.

Develop and maintain automated testing frameworks and suites for UI, API, integration, database, functional, regression, and end-to-end testing. Create test strategies, plans, cases, and scenarios; validate system controls and compliance requirements; manage defects; analyze quality metrics; and support release and production validation. Collaborate with product, business analysis, development, and DevOps teams throughout the software development lifecycle.

Senior QA Engineer responsible for manual and automated testing of high-volume, data-intensive applications. Duties include developing test plans, executing regression and UAT testing, maintaining Selenium or Playwright automation, performing database testing with SQL, troubleshooting defects, reporting QA metrics, and collaborating with engineering and business teams in an Agile environment. The role also mentors QA professionals and provides technical leadership across testing activities.

Designs and maintains automated testing frameworks for enterprise applications. Develops automation scripts, validates APIs and web services, performs functional, regression, integration, and end-to-end testing, and applies BDD practices. Supports CI/CD integration, analyzes QA metrics, improves testing processes, and collaborates with engineering and business stakeholders to ensure software quality, reliability, performance, and maintainability.

Lead Salesforce QA by designing and executing test plans for declarative and programmatic Salesforce features, integrations, and APIs. Develop automated tests (Copado Robotic Testing), perform integration, regression, functional and data validation testing across Salesforce and external MySQL systems, collaborate with developers and product owners, improve QA processes, and support multi-org Salesforce setups.

Lead and develop a distributed QA team for a live AAA mobile game. The role drives scalable QA practices, release excellence, quality metrics, process improvement, and cross-functional collaboration across engineering, live operations, marketing, customer support, localization, and external development teams. Responsibilities include planning quality activities, managing releases and deployments, communicating risks to stakeholders, and supporting continuous improvement throughout the game development lifecycle.

Leads a quality assurance automation team while remaining primarily hands-on. Responsibilities include designing and maintaining scalable automation frameworks for web, mobile, and API testing; planning and executing tests; integrating automation into CI/CD pipelines; improving QA processes; establishing standards; mentoring staff; managing resources; and supporting multiple Scrum teams. The role partners with engineering, product, and DevOps teams and requires cloud-native application testing experience.

Own the QA/QC function for a software product portfolio by designing and executing manual and automated tests, UAT scripts, traceability, defect management, release readiness, quality metrics, and CSV documentation. Partner with Product, Engineering, Technical Project Management, and Client Delivery while supporting approximately 10% client interaction for UAT activities. Build scalable QA processes, regression coverage, and audit-ready validation practices.

Perform QA for OneStream/EPM implementation supporting a DoD client: plan and execute SIT/UAT and regression testing; develop test cases and scripts; validate configurations, integrations, calculations, workflows, and reports; manage defects and traceability; support deployment, go-live, hypercare, and post-production validation.

The QA Lead will oversee QA activities, managing teams, and validating consumer-facing applications with an emphasis on card services and software integration.

Lead quality strategy and automation across frontend, backend, and AI services. Design scalable end-to-end and performance tests, build workload models, diagnose bottlenecks, integrate AI-assisted testing tools, improve CI/CD test observability, mentor engineers, and raise release confidence for a fast-moving education AI platform.

The QA Testing CoE Manager will establish a testing Center of Excellence, deploy testing processes and tools, manage QA activities, and coordinate with clients and internal teams in Life Sciences and Pharma sectors.

The QA Automation role focuses on testing web services and MQ messages, creating test plans, automation scripts, and ensuring quality across integrations in a continuous integration environment.

Lead ETL QA testing in Informatica; requires 5+ years in ETL testing, strong SQL skills, and data warehouse testing experience, guiding QA engineers.

Plan and manage software quality assurance activities across safety- and security-critical projects. Conduct audits, reviews, and inspections; maintain certification deliverables; identify risks and non-compliances; support regulatory and customer audits; improve SQA processes; track metrics; and mentor engineering teams. The role supports products including VxWorks and Helix Virtualization Platform across aviation, automotive, robotics, and industrial programs.