What You'll Do- Design and implement AI-powered developer productivity solutions and workflows that improve developer onboarding, development, code review, testing, debugging, incident triage, documentation, code quality, and engineering velocity.
- Build and enhance large-scale developer platforms, including Bazel-based build systems, CI/CD pipelines, test automation frameworks, and engineering productivity tooling.
- Partner with product engineering teams to understand developer pain points, identify productivity bottlenecks, and deliver solutions that improve developer experience, engineering efficiency, and platform reliability.
- Develop high-performance, reliable, well-tested, and well-documented platform and infrastructure code that enables Adobe engineers to build, test, and deploy applications at scale.
- Mentor engineers, contribute to engineering best practices, and foster a collaborative environment focused on continuous learning and innovation.
What You'll Bring- 5+ years of software engineering experience building scalable applications, developer platforms, tooling, or infrastructure.
- Demonstrated experience building, integrating, or operating AI-powered systems that improve software engineering workflows, including developer tooling, code review, testing, debugging, CI/CD automation, incident triage, or other engineering productivity use cases.
- Experience working in large-scale monorepo environments, including build systems, dependency management, developer tooling, CI/CD workflows, and engineering productivity challenges at scale.
- Strong software engineering fundamentals, including system design, data structures, algorithms, debugging, performance optimization, and reliability engineering.
- Experience working in large-scale engineering environments and collaborating across teams to deliver technical solutions.
- Strong communication, collaboration, and mentoring skills, with the ability to influence technical decisions and drive initiatives forward.
Preferred Qualifications- Experience building AI-powered developer productivity solutions such as intelligent code review, CI/CD triage, test generation, debugging assistants, engineering copilots, workflow automation, or other AI-enabled engineering tools.
- Experience with agentic AI systems, AI orchestration frameworks, evaluation methodologies, and techniques for improving the reliability and effectiveness of AI-assisted engineering workflows.
- Deep experience with Bazel, including build optimization, dependency management, remote caching, custom build tooling, and developer workflow automation.
- Experience developing developer tooling and automation using TypeScript, JavaScript, Python, Go, Java, or C++.
- Experience with CI/CD platforms, build orchestration, merge queues, flaky test detection, release automation, and engineering productivity tooling.
- Experience with Kubernetes, Terraform, cloud infrastructure, and platform automation.
- Familiarity with observability and operational tooling, including OpenTelemetry, Grafana, Splunk, or similar technologies.
- Experience measuring and improving developer productivity through metrics-driven DevEx initiatives.
What Sets You Apart- You are passionate about applying AI to improve how software is designed, built, tested, and operated.
- You enjoy building tools and systems that help other engineers move faster and more effectively.
- You can contribute at both the implementation and design levels, balancing technical quality with practical business needs.
- You proactively identify opportunities for improvement and drive them to completion.
- You treat developers as customers and seek to improve their daily experience through thoughtful tooling and automation.
- You elevate those around you through collaboration, mentorship, and technical leadership.
- You are excited about the evolving role of AI in software engineering and enjoy experimenting with new approaches responsibly.
- You have a strong bias for action and consistently drive initiatives from concept through delivery.
Why Join UsYou will help define how AI and intelligent tooling reshape the way Adobe engineers build creative software. Your work will directly impact the velocity, reliability, and innovation capacity of Creative Cloud's web platform.
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 $139,000 -- $257,550 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 $177,900 - $257,550In Washington, the pay range for this position is $161,700 - $234,150
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.
