Own quality for a large mobile platform through hands-on exploratory/manual testing and automation advocacy. Shift testing left with dev/product/design, build and scale automation frameworks (Appium/Java/Cucumber), push coverage into unit/component/contract layers, use AI-augmented tooling for test design and triage, and influence distributed teams to increase automation and improve QA processes.
This is a remote position.
We're looking for a QA Engineer who is equal parts hands-on tester and automation advocate. You'll own quality for a large, complex mobile platform, and you'll do it by combining sharp exploratory and manual testing with a relentless push to automate the right things at the right layer.
This is not a role that sits at the end of the pipeline writing test cases. You'll work to shift testing left with developers, product, and design from the moment a story is shaped, help teams move away from a top-heavy, E2E-dependent suite toward a balanced testing model, and hold engineering teams accountable for the coverage they own. You'll build and scale the automation framework, but just as importantly you'll influence where tests live - pushing coverage down into unit, component, and contract layers so that the E2E suite stays small, fast, and trustworthy.
You'll also use AI-augmented tooling to accelerate test design, triage, and automation development, and you'll bring ideas for how quality engineering should evolve across a distributed, multi-team environment.
This is not a role that sits at the end of the pipeline writing test cases. You'll work to shift testing left with developers, product, and design from the moment a story is shaped, help teams move away from a top-heavy, E2E-dependent suite toward a balanced testing model, and hold engineering teams accountable for the coverage they own. You'll build and scale the automation framework, but just as importantly you'll influence where tests live - pushing coverage down into unit, component, and contract layers so that the E2E suite stays small, fast, and trustworthy.
You'll also use AI-augmented tooling to accelerate test design, triage, and automation development, and you'll bring ideas for how quality engineering should evolve across a distributed, multi-team environment.
Requirements
• 5+ years of professional QA / quality engineering experience, with strong depth in both manual and automation testing.
• Strong understanding of QA principles, testing methodologies, and QA processes across the SDLC/STLC.
• Strong experience in test case design and testing native Android and iOS mobile applications.
• Hands-on experience with Appium and Cucumber; Java strongly preferred (our stack is Appium + Java + Cucumber + BrowserStack).
• Experience in integration testing and API automation, with the ability to design, develop, and maintain automated integration test suites.
• Experience designing, maintaining, and scaling automation frameworks - not just writing tests inside someone else's framework.
• Demonstrated judgment about test placement: knowing what belongs where being able to argue for it.
• Track record of influencing engineering teams toward automation by driving adoption, setting standards, and holding others accountable without formal authority.
• Comfortable using AI tools (e.g., Claude Code) to improve QA productivity, test design, and automation development.
• Ability to bring innovative ideas that improve quality, accelerate testing, and increase automation coverage.
• Good working knowledge of Jira.
• Strong analytical, debugging, and problem-solving skills.
• Excellent communication and collaboration skills, including working effectively with distributed and vendor teams.
• Strong understanding of QA principles, testing methodologies, and QA processes across the SDLC/STLC.
• Strong experience in test case design and testing native Android and iOS mobile applications.
• Hands-on experience with Appium and Cucumber; Java strongly preferred (our stack is Appium + Java + Cucumber + BrowserStack).
• Experience in integration testing and API automation, with the ability to design, develop, and maintain automated integration test suites.
• Experience designing, maintaining, and scaling automation frameworks - not just writing tests inside someone else's framework.
• Demonstrated judgment about test placement: knowing what belongs where being able to argue for it.
• Track record of influencing engineering teams toward automation by driving adoption, setting standards, and holding others accountable without formal authority.
• Comfortable using AI tools (e.g., Claude Code) to improve QA productivity, test design, and automation development.
• Ability to bring innovative ideas that improve quality, accelerate testing, and increase automation coverage.
• Good working knowledge of Jira.
• Strong analytical, debugging, and problem-solving skills.
• Excellent communication and collaboration skills, including working effectively with distributed and vendor teams.
Desirable
• Experience with contract testing and service virtualization / API mocking (e.g. Microcks).
• Experience with performance, accessibility, or security testing for mobile applications.
• Experience testing applications backed by a BFF or microservices architecture.
• Experience with feature flags, progressive rollouts, and testing in production-like conditions.
• Familiarity with mobile release processes, app store submission, and staged rollouts.
• Experience with observability tooling and using logs, traces, and crash analytics to investigate defects.
• Experience with headless CMS or content-driven applications.
• Experience with performance, accessibility, or security testing for mobile applications.
• Experience testing applications backed by a BFF or microservices architecture.
• Experience with feature flags, progressive rollouts, and testing in production-like conditions.
• Familiarity with mobile release processes, app store submission, and staged rollouts.
• Experience with observability tooling and using logs, traces, and crash analytics to investigate defects.
• Experience with headless CMS or content-driven applications.
Similar Jobs
Software
Design and execute manual test plans for web, mobile, API, and third-party integrations; identify, document, and track defects; validate financial data and transaction flows; participate in Agile ceremonies; maintain QA documentation and improve QA processes.
Top Skills:
Ai ToolsJIRAPostmanRest ApisSQL
Industrial
Perform manual and automated testing of web and mobile apps; design and run test plans, convert tests to TypeScript+Playwright automation, integrate tests into CI/CD, use AI-assisted tools to author and maintain tests, perform API and SQL backend testing, track defects in Jira/Zephyr, and collaborate with engineering teams to improve QA processes.
Top Skills:
ClaudeCursorFlutterGithub ActionsGithub CopilotGitlab CiJenkinsJIRAPlaywrightPostmanReactRestassuredSQLTypescriptZephyr
Artificial Intelligence • Software • Automation
Own product quality for integrations, APIs, dashboards, and AI-agent workflows: build test plans, perform exploratory and end-to-end testing, maintain regression suites, automate high-value tests, investigate production issues, and drive defects to resolution working closely with engineers and product managers.
Top Skills:
Api KeysBrowser Developer ToolsBrunoCi/CdCypressGitGmailInsomniaJavaScriptNotionOauthPlaywrightPostmanPytestPythonRest ApisSalesforceSdksSQLTypescriptWebhooks
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
