Note: The job is a remote job and is open to candidates in USA. Nylas specializes in providing APIs that simplify the integration of email, calendar, and contact management features into applications. They are looking for a QA/UAT Engineer to balance automation with hands-on product validation, ensuring quality throughout the development lifecycle by collaborating with various teams.
Responsibilities
- Build and maintain automated test coverage. Design, implement, and own automated test suites across our API platform and customer-facing applications, including integration, functional, contract, and end-to-end testing
- Validate APIs and services. Develop and maintain test coverage for REST and gRPC services, ensuring reliability across email, calendar, contacts, scheduling, and third-party provider integrations
- Perform user acceptance and exploratory testing. Validate real-world customer workflows before release, uncovering usability issues, edge cases, and regressions that automated tests may miss
- Automate browser-based workflows. Build and maintain end-to-end UI tests for our dashboard, scheduling products, and embedded experiences using frameworks such as Playwright, Cypress, or Selenium
- Leverage AI to improve quality engineering. Use tools such as Claude Code, Codex, Cursor, and other AI-powered testing workflows to generate test cases, explore application behavior, accelerate defect discovery, triage flaky tests, improve testing efficiency, and help define how AI fits into our quality engineering practice
- Integrate quality into the development lifecycle. Embed testing into CI/CD pipelines and deployment workflows so quality gates provide fast, actionable feedback on every change
- Investigate and triage defects. Reproduce issues, identify root causes, collaborate with engineers to drive resolution, and maintain clear documentation throughout the defect lifecycle
- Support release readiness. Participate in release validation efforts, helping ensure new features and platform changes meet quality standards before reaching customers
- Collaborate across engineering teams. Work closely with backend, frontend, platform, and product teams throughout the development lifecycle to build quality into the process from the start
- Help shape the future of quality engineering. Contribute to testing strategy, tooling decisions, AI-assisted testing workflows, and best practices as we continue evolving our approach to automation, quality ownership, and AI-native quality engineering
Skills
- 3–5 years of experience in QA, SDET, Quality Engineering, or test automation-focused software engineering roles
- Experience designing and maintaining automated testing frameworks and suites
- Practical working knowledge of Go (Golang), including the ability to read service code, understand application behavior, write tests, and debug failures
- Experience testing APIs, microservices, or distributed systems
- Familiarity with REST APIs, gRPC, contract testing, and API validation tools such as Postman, grpcurl, k6, or similar
- Hands-on experience with browser automation frameworks such as Playwright, Cypress, or Selenium
- Experience using AI-assisted development or testing tools, including Claude Code, Codex, Cursor, or similar coding agents
- Familiarity with CI/CD systems and modern cloud-native development environments
- Experience working with Docker, Kubernetes, GitHub Actions, kubectl, and GitOps-style deployment workflows
- Strong understanding of software testing principles, including test strategy, test planning, risk-based testing, and defect management
- Excellent written communication skills with strong attention to detail
- Experience applying AI and LLM technologies to software testing workflows
- Proficiency with TypeScript or Python for automation and tooling
- Experience testing third-party integrations, OAuth flows, or identity systems
- Familiarity with observability platforms, including logs, metrics, and distributed tracing
- Experience with performance, load, or reliability testing
- Experience working with developer platforms, APIs, infrastructure products, or highly technical SaaS environments
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