Top Remote QA Jobs in Boston, MA

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.

Design, execute, and maintain manual and automated test plans for a SaaS platform. Validate APIs, run regression and performance tests, integrate tests into CI/CD, research and apply AI/LLM-driven testing, document defects, and collaborate with Product, Engineering, and Customer Success to improve QA processes.

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.

Design, develop, and execute manual and automated tests for front-end, back-end, APIs, and large-scale services. Build and maintain automated test suites and frameworks (Java, JUnit, Selenium, TestNG), analyze logs, report results, and collaborate with stakeholders; ensure test coverage across devices and drive test strategy and sign-off.

Work as an embedded QA automation engineer to design, build, and maintain end-to-end and API test suites, integrate tests into CI/CD, run performance/load tests against a NestJS monolith, manage test data, and validate AI agent behavior and integrations across OMS/WMS/catalog workflows.

Lead quality initiatives for AI-driven workflows and complex software systems. Design and execute end-to-end test strategies, validate AI-generated outputs, test APIs, webhooks, integrations, and event-driven architectures, and conduct exploratory and manual testing. Partner with Product and Engineering on requirements and release readiness, improve automation coverage, document defects and QA standards, and mentor QA team members while ensuring reliable, compliant, and scalable releases.

Leads and mentors a QA team while developing hands-on test automation for a new product. Owns test strategy, end-to-end automation, scale and regression testing, and distributed-system resilience testing using chaos engineering. Collaborates with development teams to integrate testing processes, analyzes results, and recommends improvements. The role requires expertise in cloud and Kubernetes environments, test automation frameworks, device simulators, traffic generators, and QA leadership.

Designs and executes end-to-end, functional, regression, manual, automated, and security testing for AI-driven clinical and patient workflows. Translates requirements into test cases, validates AI conversations and data integrity, tracks defects, maintains requirements traceability, and supports release signoffs. Collaborates with Product, Engineering, Data Science, clinical, and distributed QA teams to ensure software quality, clinical safety, compliance, and user trust.

Designs, develops, and maintains scalable QA automation frameworks using C#, Selenium, RestSharp, Appium, SQL, and Azure. Leads CI/CD automation infrastructure, test strategy, code reviews, failure investigation, quality metrics, and process improvements. Collaborates with development, product, and business teams throughout the software lifecycle, mentors QA automation engineers, supports customers and business analysts, identifies test coverage gaps, and provides technical guidance on complex software quality issues.

Lead a team of 3–5 QA Engineers and own quality strategy, test planning, automation, regression coverage, defect management, and release readiness. Partner with Product and Engineering in Agile/Scrum processes, provide go/no-go recommendations, improve testing and documentation, and ensure audit-ready traceability for compliance software. The role is hands-on, emphasizing Playwright and TypeScript/JavaScript automation, risk-based testing, and clear communication of quality risks.

Plans, designs, executes, and documents functional, integration, regression, system, and user acceptance testing for software implementation and modernization projects. Creates test cases, scenarios, scripts, and data; validates interfaces, APIs, workflows, and data integrity; manages defects and retesting; maintains requirements traceability; and communicates testing progress, risks, and quality concerns to technical and nontechnical stakeholders in Agile and hybrid environments.

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.

Plans and executes manual and automated testing for web and desktop applications, including UI, API, load, performance, integration, and regression testing. Builds and maintains automated test suites using TestComplete and ReadyAPI, configures test environments, develops environment-refresh scripts, tracks quality metrics, and collaborates with development and QA teams. The role also recommends QA tools and processes, supports root-cause analysis, and may coordinate QA activities across multiple development teams.

Lead QA automation for healthcare billing and revenue cycle management platforms. Build Playwright and TypeScript test frameworks covering eligibility, claims, remittance, payment posting, APIs, databases, and financial reconciliation. Integrate generative AI and LLM workflows for test generation, self-healing scripts, and payer rejection simulation. Mentor peers, own product quality, and execute scalable automation in cloud-based CI/CD environments.

Lead quality assurance and test strategy across Agile teams, drive automation for testing, mentor QA teams, and ensure high-quality software delivery.

Designs and executes automated, API, UI, regression, smoke, and end-to-end tests for cloud-native and air-gapped federal environments. Integrates test suites with GitLab CI and Jenkins, validates security and compliance baselines, diagnoses Linux and Windows systems, and documents test plans, defects, and results. The role supports reliable deployment of cyber-physical security solutions across government and critical infrastructure environments.

The Senior QA Software Engineer ensures software quality through automated and manual testing, focusing on automation frameworks establishment and enhancing software quality standards.

Test web applications across requirements, design, implementation, and release. Identify risks early through shift-left testing, manually validate complex features and payment flows, define acceptance criteria and edge cases, review documentation, and create clear bug reports and test documentation. Collaborate with developers, designers, and stakeholders to improve QA processes and product quality.

Test Salesforce releases for a New York State Department of Labor unemployment insurance call center. Develop and execute SIT and E2E scenarios covering workflows, case management, integrations, and user interfaces. Manage test cases, results, metrics, and defects in Copado, retest fixes, and coordinate with developers and functional stakeholders to confirm deployment readiness without disrupting live operations.

Leads functional, system, regression, integration, and black-box testing for web applications and server-based interfaces. Develops test plans, test cases, schedules, data strategies, and evaluation procedures from requirements and user stories. Executes SQL queries, API and web-service testing, manages defects, validates software deployments, documents QA processes, troubleshoots installation issues, and provides technical leadership to junior analysts while supporting cross-functional teams and client engagements.

Hands-on contract QA Engineer responsible for testing web applications, APIs, integrations, desktop and AI-powered features. Duties include creating test plans, executing functional, regression, integration, exploratory, and end-to-end testing, validating REST APIs and databases, testing complex workflows, documenting defects, supporting release readiness, and improving QA processes and coverage.

Develop and execute Salesforce test plans, cases, and scripts across functional, regression, integration, end-to-end, and UAT testing. Validate Salesforce configuration, Flow automation, Apex, Lightning Web Components, integrations, data migrations, and reporting. Manage defects using Jira, Azure DevOps, or similar tools, support Classic-to-Lightning migration and release readiness, and communicate quality status to government stakeholders in a regulated federal environment.

Performs functional, regression, integration, end-to-end, UAT, and AI-agent testing across Salesforce releases. Develops test plans, validates Flow, Apex, LWC, SOQL, integrations, data integrity, prompts, grounding, guardrails, and Agentforce behavior. Manages defects, supports deployments, documents quality status, and briefs government stakeholders while maintaining scalable, auditable QA practices for a regulated federal environment.

Designs and maintains automated UI, API, regression, and web application test frameworks. Collaborates with engineering, product, and design teams to identify and resolve defects, performs exploratory testing, supports CI/CD and agile processes, and promotes quality, performance, usability, security, and healthcare data privacy compliance.

Leads the Warehouse Simulation Lab, defining its roadmap, operating standards, and certification processes. Develops digital twin environments modeling robotic fleets, warehouse workflows, equipment, integrations, and infrastructure. Establishes reusable customer templates and scenario libraries, and validates releases against operational, failure, congestion, integration, and recovery scenarios. Partners with Product and Engineering to certify software and configurations before deployment, improving defect detection, deployment success, production stability, and simulation accuracy.