Senior Software Engineer, Test Automation

About the Role The Graph team is looking for a Senior Software Engineer, Test Automation who is passionate about building developer tooling and platforms that enforce high code quality across an open plugin ecosystem. In this role, you will lead the engineering strategy for quality systems that support core Graph platform functionality, with a particular focus on the plugin submit and review lifecycle. You will collaborate closely with product and development teams to build robust automation APIs, services, and frameworks.

You will provide technical direction and mentorship to engineers working on quality tooling, establish code coverage and quality metrics, and partner with release engineering to optimize pipelines and gating policies. This is a software engineering role, focused on building the gates and systems that make quality inevitable. Responsibilities Design, build, and maintain code-quality tooling: AST analyzers, linters, static analysis, and security checks (secret scanning, license compliance, etc.).

Engineer the quality systems that gate the plugin submit and review lifecycle, ensuring contributions meet platform standards before they reach Graph users. Develop and maintain integration testing infrastructure that validates Graph's core platform behavior across services, APIs, and plugin boundaries. Engineer automated code review systems: bots, rule engines, policy-as-code, and PR gates aligned to measurable quality standards.

Develop scalable regression testing infrastructure: harnesses, fixtures, synthetic data, impact-based and selective test execution. Develop scalable regression testing infrastructure: harnesses, fixtures, synthetic data, impact-based and selective test execution. Integrate quality gates into CI/CD; enforce standards pre-merge and pre-release.

Build APIs, CLIs, and services that surface quality signals to developers and integrate with release workflows. What You Need to Succeed Bachelor's in Computer Science, Engineering, or equivalent experience. 10+ years in software engineering building tools, platforms, or backend services.

Hands-on experience designing and building integration testing systems that validate behavior across services, APIs, and component boundaries. Solid understanding of CI/CD, Git, branching strategies, and policy enforcement in pipelines. Strong TypeScript and familiarity with TypeScript static analysis, code quality metrics, and policy-as-code.

Strong debugging, systems design, and performance analysis skills. Nice to Have Experience with agentic testing approaches Security tooling experience (SAST/DAST), dependency/supply chain scanning, SBOM generation. Containerization and orchestration (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure) About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences.

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At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .

Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S.

pay range for this position is $159,200 -- $301,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $208,300 - $301,600 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

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