Remote Python Ai Jobs in Watsonville, CA (NOW HIRING)

The Opportunity
We 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

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

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:

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.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.