QA Automation Engineer Remote Jobs in Washington (US)
This page tracks remote qa automation engineer openings that are location-eligible for Washington.
This page tracks remote qa automation engineer openings that are location-eligible for Washington.
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506 Jobs
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Role Description Our Technology team is seeking a QA Automation Engineer to help establish automated quality engineering practices across HALO and enterprise applications. - Test Automation Architecture - Design scalable automation frameworks - Establish reusable automation patterns - Define automation standards and governance - Develop maintainable automation solutions - Support enterprise-scale testing initiatives - UI Automation Engineering - Build automated UI tests using Playwright, Cypress, Selenium, or equivalent tools - Validate cross-browser compatibility - Support responsive application testing - Develop regression automation suites - Maintain automation reliability - API & Integration Testing - Validate REST APIs and microservices - Develop automated API test suites - Verify integration workflows - Perform contract and schema validation - Support end-to-end testing initiatives - Performance & Load Testing - Design performance testing strategies - Execute load and stress testing activities - Analyze scalability bottlenecks - Establish performance benchmarks - Validate production readiness - Security & Compliance Testing - Support application security testing - Validate authentication and authorization controls - Verify compliance requirements - Identify vulnerabilities and risks - Collaborate with security teams - CI/CD Quality Engineering - Integrate automation into deployment pipelines - Establish automated quality gates - Support release validation processes - Improve deployment confidence - Enable continuous testing practices - Test Data Management - Create and maintain automated test data - Design reusable testing environments - Manage test execution datasets - Ensure testing consistency - Support enterprise-scale validation - Defect Analysis & Root Cause Investigation - Analyze complex defects - Collaborate with engineering teams - Identify recurring quality issues - Drive preventive improvements - Support production incident reviews - Enterprise Application Testing - Test Salesforce integrations - Validate Python based, .NET and web applications - Verify cloud-native applications - Support API integrations - Validate enterprise workflows - Quality Leadership & Continuous Improvement - Champion quality-first development - Improve testing processes - Establish quality metrics - Mentor junior QA resources - Drive engineering excellence Qualifications - Bachelor’s degree in computer science or related field - 4+ years QA Automation experience - Experience with Playwright, Cypress, Selenium, or equivalent tools - Experience with API testing tools - Experience in CI/CD environments - Knowledge of cloud-native applications and AWS - Strong analytical and communication skills Benefits - Achieve your potential at Arise. - Diversity creates a healthier atmosphere: equal opportunity employer M/F/D/V
Role Description We are looking for a Senior QA Automation Engineer with strong expertise in both manual and automated testing to join our team and contribute to the development of a new unified enterprise platform for a B2B communications provider. The platform consolidates multiple legacy customer portals into a single solution that supports the full commercial lifecycle for telecom customers. - Own end-to-end quality assurance, including test strategy, test case design, and acceptance validation - Perform manual and exploratory testing of new features in fast-changing (greenfield) environments where early automation is not optimal - Gradually design, build, and maintain automated test suites for stabilized functionality, including UI, API, integration, and E2E tests - Define and maintain a regression testing approach, starting with manual smoke testing and evolving into automated regression coverage focused on high-risk areas (auth, number purchase, porting, billing) - Conduct API and integration testing across external systems such as carrier platforms, ServiceNow, billing APIs, and Cognito authentication flows - Integrate automated testing into CI/CD pipelines and ensure continuous quality validation - Collaborate with Business Analysts to clarify and validate acceptance criteria - Log, track, and manage defects through resolution - Support stabilization phases and UAT cycles to ensure production readiness Qualifications - 4+ years of experience in QA engineering, covering both manual and automated testing. - Strong hands-on experience with UI test automation using Playwright. - Solid experience in API testing using tools such as Postman and/or JavaScript/TypeScript-based frameworks. - Strong background in manual and exploratory testing with effective test design capabilities. - Good understanding of microservices architectures and integration testing principles. - Experience working with CI/CD pipelines and integrating automated test suites. - Proficiency in JavaScript / TypeScript for test automation development. - English proficiency: Upper-Intermediate (B2) or higher. Requirements - Awareness or hands-on experience with performance or load testing. - Experience with contract testing tools such as Pact and/or event-driven testing (Kafka-based systems). - Experience testing authentication and SSO flows (e.g., AWS Cognito, OIDC). - Exposure to telecom, CPaaS, or UCaaS domains. - Awareness of security testing principles. - Experience with test management tools such as Jira Xray or TestRail. Benefits - Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. - Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. - Work From Anywhere Culture: make the most of the flexibility that comes with remote work. - Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. - Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. - Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. - Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.
We're building an open financial system for the world.
• Architect and build Legal AI infrastructure — Design and ship a platform of AI agents and automated workflows that replace high-volume, templated legal work including institutional client agreement redlining, SEC filing support, subsidiary governance workflows, and commercial deal processing. • Own the institutional client agreement automation system — Our highest-priority use case: build an end-to-end agentic workflow that ingests counterparty markups, evaluates them against a structured playbook, generates a first-pass redline with comments, routes for human review, and tracks outcomes. This is a production-grade system affecting 220+ institutional clients in pipeline. • Build a cohesive agent platform and governance layer — Consolidate a fragmented set of ad-hoc bots and agents into a consistent, documented, maintainable platform with naming conventions, personas, observability, and standards for how Legal agents are built and deployed. • Act as the technical thought partner to the VP and the broader Legal leadership team — Translate complex legal workflows into engineered systems, and translate engineering constraints back to non-technical stakeholders. The ability to bridge these worlds is as important as the engineering itself. • Define the make-vs-buy strategy — Evaluate and retire third-party legal tech tools (Harvey, etc.) in favor of purpose-built internal solutions where Coinbase's engineering strength gives us a structural advantage. • Be the case study — This role is explicitly designed to be a pilot for forward-deployed engineering in non-technical organizations at Coinbase. Success here creates the playbook for how other functions (Finance, HR, Operations) can undergo the same transformation.
• Help build AI-powered automations across Forethought, Salesforce, and Microsoft Copilot. • Support the design of workflows for auto-resolution, case enrichment, and routing. • Rapidly prototype, test, deploy, and iterate on scoped automation solutions. • Contribute to improvements in AI resolution rate and overall automation coverage. • Help reduce manual work across support operations through effective automation design. • Partner with Support, CX, and AI teams to translate operational needs into practical solutions. • Continuously improve automation performance using data, feedback, and iterative learning.
• Research, identify, and access APIs to understand their structures, endpoints, and available data without relying on screen scraping techniques. • Reverse engineer web APIs when necessary, using tools like Burp Suite, Postman, or Fiddler, and conduct reconstructive analysis from a QA perspective. • Write robust, scalable code to extract relevant data from public APIs and accurately transform it into common data models and structures. • Design and implement API integrations by leveraging deep knowledge of web fundamentals—including HTML, DOM, CSS, JavaScript, HTTP/S, client/server architecture, and networking protocols. • Apply solid understanding of REST APIs, including authentication mechanisms like JWT, SAML, OAuth, and data transfer processes, to ensure seamless API interactions within various network environments. • Develop and implement solutions to handle bot detection techniques such as request throttling, device fingerprinting, and CAPTCHA mitigation. • Break down the development of products and features into manageable, iterative releases, demonstrating strong problem-solving skills. • Document findings and collaborate effectively with development teams through excellent written and verbal communication. • Work autonomously and self-direct while thriving in a team environment. • Take ownership throughout the entire Software Development Life Cycle (SDLC), including QA, build, deployment, and support of production systems.
Title: AI-native QA Engineer Location: United States Job Description: QA Engineer - AI-Assisted Testing Were a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. Were looking for an AI-native QA Engineer with 3+ years of experience who will automate the workflow using modern AI frameworks and tools like Codex and Claude. Youll leverage LLMs to speed up testing, bug analysis, and test generation while maintaining rigor through architecture, documentation, and proper validation. Youll help us scale our AI Agent and platform with confidence-automating what matters, catching what counts, and using AI as a core part of how you work. Responsibilities - Build AI-based testing frameworks and pipelines that automate the full QA workflow: design test strategies, develop automated tests, create and execute test plans, perform different types of testing across workflows, and analyze defects-all powered by LLM tools and modern AI frameworks - Perform functional, regression, integration, and load testing across agent workflows - Analyze defects and incidents, identify root causes, and help prevent regressions - Collaborate closely with developers, product managers, and R&D on release validation - Contribute to improving QA processes, test coverage, and automation practices Requirements - 3+ years of QA experience, with 2+ years in QA automation - Active hands-on usage of LLMs (GPT, Claude, Llama, etc.) in your QA workflows-not just interest, but real experience in building AI based QA pipelines - Strong Python and PyTest skills - Hands-on experience with SQL (PostgreSQL, ClickHouse) - Solid understanding of REST APIs, client-server architecture, and web services - Experience creating and maintaining automated test suites in CI/CD pipelines - Ability to work independently with complex business logic - Ability to work in EST timezone Nice to Have - Experience testing data pipelines or integration workflows - Startup experience What We Offer - Remote-first environment - 20 PTO days + U.S. holidays - Modern AI tech stack and freedom to experiment - Extremely fun & open startup environment - Professional development reimbursement
Role Description Litify is looking for a QA Engineer to join our Product & Engineering team! This is a high-impact, AI-first role where you will own quality end-to-end within an agile squad. In this role, you will play a crucial part in ensuring the quality of our legal software, which is built on the Salesforce platform. The ideal candidate has a strong background in both manual and automated testing and will thrive in a hands-on, team-oriented, and fast-paced agile environment. We are actively transforming how QA works at Litify; shifting from traditional manual test execution to an AI-augmented model where AI agents perform initial test passes and human QA engineers focus on reviewing AI-generated results, exploratory edge-case testing, and making critical judgment calls on quality and risk. You will be the person who drives this transformation on the ground. Your day-to-day will involve: - Reviewing and validating AI test outputs. - Identifying gaps the AI missed. - Performing targeted exploratory testing on high-risk areas. - Building scalable Playwright automation to reach 80% coverage by end of year. - Using Claude, GitHub Copilot, and other AI tools as core components of your testing workflow. You can be located anywhere in the United States. Qualifications - 3+ years of experience in a QA role, with a strong foundation in both manual and automated testing. - 2+ years of hands-on experience with Playwright (preferred) or strong experience with a modern automation framework (Cypress, Selenium, WebdriverIO, etc.) and willingness to ramp quickly on Playwright. - Proven ability to create and own test plans, define test strategies, and make risk-based decisions about release readiness. - Familiarity with Xray or a comparable test management tool integrated with Jira. - Strong Jira proficiency, including ticket workflows, bug reporting, sprint board management, and defect classification. - Comfortable working in a fast-paced, highly collaborative, and dynamic Agile/Scrum environment. - A clear understanding of what it means to own "code quality" for a development team. - Strong verbal and written communication skills with the ability to articulate issues, priority, and impact in a clear and concise way. - The ability to interact and coordinate test activities among multiple teams. Requirements - 4+ years of experience with Playwright (nice-to-have). - Experience with Salesforce or testing Salesforce-based applications (nice-to-have). - Familiarity with Salesforce debugging logs or similar platform-level diagnostic tools (nice-to-have). - Prior experience working within legal technology or document management products (nice-to-have). - Experience with CI/CD pipelines and integrating automated tests into deployment workflows (nice-to-have). - Familiarity with AI testing concepts such as output validation, hallucination detection, or confidence scoring (nice-to-have). Benefits - Estimated base salary pay range: $100,000-$110,000. - Potential for a bonus and benefits. - Competitive compensation based on qualifications, experience, skill set, and internal equity. - Openness to a variety of profiles, with flexibility in experience level.
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• Develop and maintain EAG/API-gateway automation components that integrate with Government-approved CI/CD pipelines. • Create and validate configuration-as-code, pipeline-compatible deployment artifacts, gateway promotion workflows, API validation gates, and migration automation components. • Support automated checks for API specification quality, governance compliance, Zero Trust controls, telemetry, configuration drift, and production-readiness evidence. • Build automation and validation evidence that supports PWS automation outcomes, including 75 percent manual onboarding reduction, 90 percent automated onboarding success rate, and 100 percent Zero Trust/governance compliance prior to production deployment. • Troubleshoot gateway-side CI/CD integration issues, including deployment failures, configuration errors, credential/certificate dependencies, environment promotion issues, and validation gate failures. • Support Git-based version control, branching, pull/merge request workflows, artifact repositories, and release evidence. • Coordinate with Government CI/CD, DevSecOps, cybersecurity, identity, network, and release teams for platform-owned dependencies. • Produce pipeline documentation, automation runbooks, validation logs, deployment evidence, rollback steps, and knowledge-transfer materials.
• Responsible for supporting automation efforts with a focus on troubleshooting and implementing solutions to improve DevSecOps practices. • Develop tools and processes to drive DevSecOps maturity by automating builds, regression testing, monitoring, and pushing releases across environments. • Access, store, transmit, and/or process Controlled Unclassified Information (CUI), Covered Defense Information (CDI), and Federal Contract Information (FCI) securely.
Conversational AI that’s anything but artificial. Fast Company named us the #1 Most Innovative AI Company in the World.
Role Description You will: - Lead, hire, and develop a team of QA Engineers (II and III) running regular 1:1s, structured career development conversations, and performance reviews. - Actively participate in ongoing releases as the senior quality owner - tracking progress, unblocking the team, and holding accountability for the overall delivery of QA commitments across all active workstreams. - Own the QA strategy across all assigned product areas and development teams, ensuring test coverage standards and release governance processes align with engineering and business objectives. - Oversee the QA release process across different development teams - ensuring all releases follow the Central QA process, quality gates are enforced, and sign-off conditions are consistently met before production deployment. - Serve as the escalation point for complex defects, release-blocking quality risks, cross-team process conflicts, and resourcing concerns - and ensure the right stakeholders are engaged at the right time. - Drive the automation roadmap: set coverage targets, evaluate frameworks, and ensure CI/CD integration steadily reduces manual regression effort. - Attend and contribute to roadmap discussions, release planning, and retrospectives as a required participant. - Build a culture of shift-left testing - embedding quality thinking into design, planning, and code review across all teams, not just the test phase. - Coordinate QA planning across squads for major releases and platform migration. - Research and evaluate emerging QA tools and practices; make grounded build-vs-buy recommendations based on team capacity, product risk profile, and long-term quality goals. - Own the QA process documentation - reviewing quarterly and communicating updates to all engineering teams. Qualifications - Ten or more years in QA, including at least two to three years in a lead or senior QA role with direct people-management responsibility. - Demonstrated ability to stay hands-on in active releases - tracking delivery commitments, removing blockers, and holding the team accountable to quality outcomes without micromanaging. - Deep understanding of release governance - experienced in overseeing go/no-go decisions, enforcing sign-off conditions, and managing quality risk across multiple concurrent releases. - Strong technical grounding in manual testing, API and backend testing, and automation, credible enough to review the work of QA Engineers and provide substantive feedback. - Proven experience conducting and guiding root cause analysis across frontend and backend defects, able to connect systemic quality risks to process and tooling improvements. - Strong data instincts - able to design metrics frameworks and present a coherent quality story to non-technical stakeholders and senior leadership. - Skilled at influencing and aligning cross-functional teams without direct authority. - Collaborative leadership style that builds trust with engineers, product managers, and senior leaders alike. Requirements - ISTQB Advanced or Expert certification. - Experience scaling QA practices across distributed or multi-timezone teams. - Background in conversational AI, NLP platforms, or high-volume real-time systems. - Experience with GitLab CI/CD practices. Benefits - Time away: Vacation, public holidays, and care days. - Financial: Pension, deferred pension, and ESPP. - Family: Parental leave. - Development: Generous tuition reimbursement and access to internal professional development resources. - Additional: Exclusive perks and discounts. - Food vouchers. - Health insurance.
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