Top Remote QA Jobs in Los Angeles, CA

Test mobile features across iOS and Android, perform regression testing, and build automated synthetic tests for voice calls and SMS. Develop test plans for new and cross-team initiatives, track bugs and quality trends, and provide data-driven recommendations. Collaborate closely with engineering, product, and design teams to maintain quality while increasing release velocity.

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.

Lead Huckleberry’s globally distributed QA organization of 12 engineers across manual and automated testing. Own QA strategy, staffing, standards, quality KPIs, process improvement, and release-readiness decisions. Partner with engineering and product leadership to identify risks, negotiate release trade-offs, reduce post-release defects, and implement shift-left and AI-enabled QA practices. Mentor team members, manage performance, and collaborate with outsourcing partners to scale quality capacity.

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.

Owns quality assurance for federal health supply chain software within a product team. Responsibilities include building automated regression suites in CI/CD pipelines, performing functional, performance, security, and accessibility testing, managing defects through Jira, and assessing release readiness. The role requires software QA experience, Agile or SAFe delivery experience, Section 508 testing, and eligibility for a federal Public Trust background investigation. Preferred experience includes federal health IT, assistive technology, performance testing, API automation, and supply chain systems.

Design, develop, and execute automated tests, perform API and performance testing, identify and document defects, collaborate with cross-functional teams to ensure product quality and resolve issues.

Leads QA initiatives and teams while designing Java, Selenium, and Cucumber automation frameworks. Establishes testing strategies, quality metrics, defect processes, and CI/CD integration. Oversees functional, regression, integration, API, and end-to-end testing for AWS-hosted applications. Collaborates with development, DevOps, product, and leadership teams, mentors engineers, manages risks, and drives continuous improvements in automation coverage, testing efficiency, and release quality.

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.

Plan, execute and automate functional, regression and integration tests for mobile (iOS/Android) and backend services. Create and maintain test plans, cases and data; log and track defects; support UAT, performance and stability checks; collaborate with developers, DevOps and architects; integrate automated tests into CI pipelines and validate release readiness across environments and physical devices.

Senior QA Engineer responsible for designing and executing test strategies for Amazon Connect contact centers, building manual and automated Playwright/Cypress/Selenium suites across UI, API and serverless backends, validating migrations and production readiness, running UAT, incident triage, and mentoring junior QA engineers.

Lead the strategy, architecture, and implementation of automated data testing frameworks for Databricks Lakehouse platforms. Validate Delta Lake tables, batch and streaming pipelines, data lineage, governance controls, performance, and scalability. Integrate quality tests into CI/CD workflows, establish engineering standards, and mentor data QA engineers. The role requires deep expertise in Python, PySpark, Spark SQL, Databricks, testing frameworks, and cloud infrastructure.

Develop and maintain automated unit, integration, regression, and end-to-end tests across Agile and DevSecOps pipelines. Create traceability matrices, support UAT, manage defects in JIRA, perform security and accessibility testing, assist with performance and disaster recovery testing, and document quality metrics and release results. The role requires adherence to DoD quality standards, Section 508/WCAG compliance, and public trust requirements.

Develops and maintains automated unit, integration, regression, and end-to-end tests across Agile and DevSecOps pipelines. Responsibilities include test planning, requirements traceability, UAT support, defect triage in JIRA, security and accessibility testing, performance and disaster recovery testing, and quality reporting. The role supports DoD compliance, code reviews, CI/CD quality gates, and collaboration with developers, government stakeholders, and product teams.

Develop and maintain automated test scripts with guidance from senior automation team members. Create and execute test cases, plans, and scenarios based on requirements. Alternate between manual validation and automation according to delivery needs. Build expertise in automation frameworks, scripting, CI/CD, and quality engineering practices while collaborating effectively with cross-functional teams in a remote environment.

Performs manual and exploratory testing of software, develops QA plans and procedures, documents and maintains tests, interprets results, communicates defects, and partners with software development teams throughout the SDLC. The role also analyzes customer satisfaction trends, evaluates QA effectiveness, considers application-wide impacts, and protects sensitive information.

Owns product quality for a complex client-server web application and mobile SDK ecosystem. Responsibilities include writing test cases and acceptance criteria, clarifying requirements, executing end-to-end, regression, integration, and exploratory testing, assessing release risks, maintaining reusable test coverage, and improving testing infrastructure across backend, frontend, SDK, and native mobile platforms.

Own and scale automated testing frameworks, expand end-to-end coverage, lead QA initiatives, and perform automation, API, mobile, and regression testing. Collaborate cross-functionally to define coverage, analyze risks, debug defects, and improve CI/CD test execution through GitHub Actions. Champion quality engineering practices across the organization while supporting web and mobile application stability.

Develops and maintains automated unit, integration, regression, and end-to-end tests across Agile and DevSecOps pipelines. The role manages test documentation, traceability matrices, UAT support, defect tracking, security and accessibility testing, performance and disaster recovery testing, and quality reporting. It also supports code reviews, release quality gates, compliance with DoD standards, and collaboration with developers, QA leads, government stakeholders, and product teams.

Backend-focused QA engineer responsible for validating ETL pipelines and a large-scale migration from 30 databases into a consolidated MySQL instance. Duties include advanced SQL validation, automated data parity and reconciliation testing, data quality framework development, API verification, and defect triage for data integrity, mapping, truncation, drift, and performance issues.

Build and own automation-first quality engineering across Flutter web and desktop applications and FastAPI/gRPC backend services. Responsibilities include developing unit, integration, contract, API, visual regression, and resilience tests; implementing AI-assisted test generation and exploratory workflows; establishing observability, reliability metrics, test data strategies, defect triage, and CI/CD processes; and partnering cross-functionally to improve release quality.

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.

Validate and test blockchain and Web3 products across the development lifecycle: create and run test plans, validate smart contract and wallet interactions, test APIs and web platforms, track and verify bugs, collaborate on releases, and improve automation, reliability, performance, and security.

Designs and maintains automated testing frameworks for Salesforce and integrated enterprise applications. Develops tests for Lightning UI, Apex workflows, Salesforce Flows, APIs, and integrations; performs functional and regression testing; validates customizations; supports CI/CD and DevOps; manages defects; and develops quality strategies. Collaborates with product, engineering, architecture, business, and release teams in Agile ceremonies while using AI to improve test design, edge-case discovery, result analysis, and root-cause investigation.

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.

Leads quality initiatives for AI-driven legal software, designing and executing end-to-end test strategies across workflows, integrations, APIs, webhooks, and event-driven systems. Validates AI-generated conversations, summaries, and data capture; develops QA documentation; investigates defects; conducts exploratory testing; improves automation coverage; and partners with Product and Engineering on requirements, design, release readiness, compliance, and continuous quality improvement. Mentors QA team members and advocates for reliable, scalable releases.