The OpportunityWe are looking for a Senior Build Systems & Pipeline Engineer to help scale and evolve the infrastructure that powers development and delivery across Adobe Express across web, services, iOS, and Android platforms.
This role sits at the intersection of developer productivity, platform engineering, CI/CD architecture, observability, and intelligent developer tooling. You will design and operate high-performance build systems and resilient delivery pipelines that enable teams to build, test, validate, and release complex multi-platform applications efficiently and reliably.
You will partner closely with client, services, infrastructure, and developer experience teams to improve engineering velocity, reduce build and test latency, increase pipeline reliability, and strengthen operational visibility across the software delivery lifecycle.
We are also looking for engineers who actively leverage modern AI-assisted development workflows and understand how intelligent tooling is reshaping software engineering practices, developer experience, and delivery systems at scale.
What You'll Do- Architect, implement, and maintain scalable build systems for large multi-platform codebases spanning web, services, iOS, and Android
- Design and optimize Bazel-based build infrastructure for performance, reliability, and reproducibility
- Build and operate dynamic CI/CD pipelines using platforms such as Buildkite and GitLab
- Develop stable and scalable automated test pipelines for web applications, backend services, and mobile platforms
- Improve build and test observability through metrics, telemetry, dashboards, alerting, tracing, and pipeline health analysis
- Drive improvements in build performance, developer feedback loops, release velocity, and infrastructure reliability
- Develop tooling and automation supporting testing, release orchestration, artifact management, and deployment workflows
- Partner with engineering teams to streamline developer workflows and improve day-to-day engineering productivity
- Enable scalable remote caching and distributed build execution strategies
- Apply AI-assisted development tools and workflows to improve engineering productivity, debugging, code quality, testing, and operational efficiency
- Evaluate and integrate emerging AI-enabled engineering workflows into development environments and CI/CD systems
- Design engineering systems and repositories that work effectively with AI-assisted developer tooling through strong conventions, documentation, metadata, and workflow design
- Contribute to long-term platform strategy around build infrastructure, developer velocity, observability, and intelligent automation
What You Need to Succeed- BS/MS in Computer Science or equivalent practical experience
- 6+ years of experience in build systems, CI/CD infrastructure, or developer platform engineering
- Deep expertise with Bazel build systems in large-scale production environments
- Strong experience designing and operating dynamic pipelines using platforms such as Buildkite
- Experience supporting large-scale web and mobile application development environments
- Strong understanding of build graph optimization, dependency management, caching strategies, and reproducible builds
- Experience building reliable automated testing infrastructure across frontend, backend, and mobile systems
- Strong understanding of system observability, metrics, monitoring, telemetry, tracing, and operational health analysis
- Experience with cloud-native infrastructure and scalable distributed systems
- Proficiency in one or more programming languages such as Python, Rust, Kotlin, Swift, or TypeScript
- Strong practical understanding of modern AI-assisted software engineering workflows and tools
- Experience using AI-assisted development environments such as Cursor, Claude Code, GitHub Copilot, or equivalent tooling in day-to-day engineering workflows
- Ability to effectively guide, constrain, and evaluate AI-generated output through structured prompting, iteration, validation, and engineering review practices
- Experience applying AI tooling to workflow automation, debugging, incident analysis, code generation, testing, documentation, or developer experience improvements
- Understanding of where AI-assisted workflows are effective - and where engineering judgment, validation, and human review remain critical
- Strong communication and collaboration skills across distributed engineering teams
Nice to Have- Experience with remote execution environments and distributed build systems
- Familiarity with monorepo tooling and large-scale source management strategies
- Experience with release automation and deployment orchestration at scale
- Experience improving developer experience and internal engineering platforms
- Experience operationalizing AI-enabled engineering workflows in large engineering organizations
- Familiarity with agentic developer workflows, multi-step automation systems, or AI- assisted operational tooling
- Experience designing repositories, documentation, and development conventions optimized for AI-assisted engineering workflows
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.
