Top Remote Senior Level QA & Test Engineering Jobs in Los Angeles, CA

Own QA strategy and release quality for POS, back-office, and payments products. Build automated unit, integration, API, contract, and end-to-end tests; integrate testing into GitHub Actions; validate hardware, offline modes, payment flows, and upgrades; establish release gates and test environments; monitor quality metrics; reproduce merchant issues; and coach engineers on testable design and quality practices.

Develop and promote product quality across multiple engineering teams through exploratory, risk-based, automated, API, and integration testing. Build reliable test coverage, investigate complex application and CI failures, improve testability and feedback loops, identify systemic quality issues, and influence product and technical decisions. The role also supports quality strategy, reusable test infrastructure, developer tooling, and engineering productivity.

Build and maintain automated UI, API, database, performance, and compliance tests using Java and Python. Integrate regression suites with CI/CD, analyze failures, validate deployments, support regulated-system traceability, and provide release quality recommendations. The role includes HIPAA, SOX, HL7, and FHIR testing, risk assessments, AI-assisted testing, and mentoring junior QA engineers.

Leads end-to-end quality assurance for Workday implementations, upgrades, and enhancements. Defines testing strategies, plans, frameworks, and risk mitigation; oversees functional, integration, regression, and UAT testing across Workday modules. Manages defects, test data, environments, release validation, reporting, and stakeholder sign-off. Coordinates QA activities among business teams, developers, system integrators, vendors, and delivery partners while ensuring adherence to quality standards and governance.

Develop scalable test automation frameworks, QA tools, and intelligent testing systems using Playwright, C#, and JavaScript/TypeScript. Integrate automated testing into CI/CD pipelines, build end-to-end, integration, and performance solutions, and apply AI techniques to improve test generation and defect detection. Partner with engineering and QA teams, troubleshoot reliability issues, contribute to test strategy, and mentor colleagues on automation and modern testing practices.

Perform manual exploratory testing and build/maintain automated test suites (Playwright/Selenium). Integrate tests into CI/CD, collaborate with product and engineering on acceptance criteria, investigate and track defects, and advocate shift-left testing and continuous quality improvements.

Develop and execute manual and automated tests, define test strategies and cases, build regression automation frameworks, track defects, and advocate for software quality. Collaborate with engineering and distributed cross-functional teams to deliver reliable mobile and digital products in a fast-moving startup environment.

Leads performance engineering across the organization by designing load-testing and data-generation frameworks, defining benchmarks and standards, analyzing application, database, and system behavior, and guiding teams in performance optimization. Builds reusable tooling and best practices using k6, JavaScript, Grafana, and InfluxDB while addressing scalability, latency, throughput, and reliability challenges in distributed cloud-native systems.

Own the conversion of manual regression suites into automated tests for CAD-based desktop and Revit-integrated applications using T-Plan Robot. Design reusable test frameworks, execute and analyze automated tests, document defects, and maintain CI/CD integrations. Apply AI and LLM tools with validation workflows to improve test authoring and reliability. Collaborate with developers and product owners, track coverage and defect trends, and eventually expand automation frameworks and mentorship across other product teams.

Lead the Performance and Quality Frameworks team, owning scalable performance engineering platforms and shared functional testing frameworks. Drive architecture, reliability, adoption, documentation, self-service, and roadmap execution across product teams. Apply AI tools such as Cursor and Claude Code to improve test development, maintenance, analysis, and engineering efficiency. Partner with cross-functional stakeholders, mentor engineers, measure framework outcomes, and support highly distributed SaaS systems using cloud, microservices, containers, and CI/CD technologies.