Staff Software Engineer

Who we're looking for:

Zendesk is seeking a Staff Software Engineer for our Engineering Productivity Test team in Singapore, APAC. In this role, you'll deliver high-impact tooling and services that improve how Zendesk engineers build, test, and release software-reducing friction, increasing confidence, and driving quality at scale.

About the team:

We're the Engineering Productivity Test team in Singapore. We improve how engineering teams across Zendesk test, validate, and ship software by building development tools, test frameworks, and streamlined workflows that increase confidence and reduce cycle time. Our focus is on raising the quality bar through better automation and repeatable testing practices-helping teams catch issues earlier, move faster, and operate more efficiently. Join us to shape the testing foundations and developer experience that enable Zendesk engineers to deliver high-quality products at scale.

What you get to do every day:

• Build and evolve AI-powered capabilities that improve testing productivity and software quality across Zendesk.

• Own and evolve the core testing services, tools, and frameworks that engineers rely on to ship with confidence.

• Create automation and infrastructure that makes the testing ecosystem fast, reliable, and developer-friendly, continuously reducing friction in the delivery pipeline.

• Partner closely with product and platform engineers to understand pain points, prioritize the highest-impact improvements, and drive adoption through great ergonomics.

• Be the go-to engineer for testing productivity: respond to requests, troubleshoot issues, and turn feedback into scalable improvements.

• Lead design and delivery of testing productivity initiatives, and mentor engineers by raising the bar on reliability and maintainability across the platform.

• Share knowledge through clear documentation, examples, and enablement to help teams ramp up quickly and use the tooling effectively.

What you bring to the role:

• Interest and ability to apply AI/LLM-assisted approaches to improve testing productivity and software quality

• Strong software engineering fundamentals (APIs, debugging, code quality, performance-minded development)

• Experience building, maintaining, or operating test platforms and tooling (services, frameworks, CI/CD integrations) that enable QA and engineering teams

• Familiarity with end-to-end testing ecosystems and common tools (e.g., Playwright, Cypress, Selenium, or similar)-focused on enablement rather than authoring tests

• Proven ability to improve reliability and developer experience in testing workflows (reducing flakiness, improving stability, speeding up feedback loops)

• Proficiency in one or more languages used for internal tooling (e.g., Ruby, Go, TypeScript/JavaScript, Python)

• Solid understanding of CI/CD pipelines and how test stages run at scale in build systems (e.g., GitHub Actions, Jenkins, or similar)

• Strong troubleshooting skills across systems and environments (pipelines, dependencies, infrastructure, test environments) with a systematic approach

• A strong internal customer mindset: comfortable handling requests from QA and engineers, prioritizing effectively, and communicating clearly

• Strong collaboration skills across teams and time zones able to drive adoption and influence without direct authority

• Bonus: experience with observability (logs/metrics/traces) and using data to measure reliability and productivity improvements

• Bonus: experience operating internal services (on-call rotations, incident response, SLOs) and improving operational readiness

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