Software Engineer - Build Support Engineering

Imagine empowering hundreds of developers across Apple Service Engineering to build, ship, and hotfix their services faster, more reliably, and with far less toil.

At Apple, we dont just build products, we craft experiences that redefine entire ecosystems. The Build Support Engineering (BSE) team sits underneath that work, owning the build, deployment, and hotfix infrastructure that Apples Commerce and platform engineering teams depend on to get code into production every day. Join us to develop the next-generation of Apples cloud services infrastructure.

As a Software Engineer on the Build Support Engineering team, youll play a key role in modernizing large-scale build and deployment systems - untangling years of legacy tooling, standardizing on a single containerized build-and-deploy path, and building agentic AI systems that triage incidents, debug failures, and support developers autonomously. This is about designing robust, scalable systems that let hundreds of developers build, test, and release services efficiently, while continuously simplifying the platform underneath them.

Were seeking engineers with a strong foundation in backend development who are also excited about applying AI - including agentic, tool-using systems - in practical, impactful ways. If youre energized by challenges that span distributed systems, build and deployment tooling, container orchestration, and autonomous intelligent agents, and ready to work on systems used by engineering teams across Apple, wed love to hear from you.

Join us, and help craft the future of build and deployment at Apple. The Build Support Engineering team is looking for a talented Software Engineer to help evolve the core build, deployment, and hotfix systems that Apples developers depend on every day. Youll join a team responsible for migrating a large legacy codebase into modern, multi-repo workflows, standardizing containerized build artifacts, and scaling the tooling that powers service delivery - with opportunities to enhance these systems using AI-driven tools and practices. This role blends proven engineering practices with forward-looking approaches in agentic AI, intelligent automation, and platform simplification. Youll collaborate closely with project managers, partner platform teams, and SREs to translate clear requirements into production systems that are performant, resilient, and continually improving.Design, build, and optimize scalable backend services and APIs in Java and Python that power build, deployment, and hotfix workflows for engineering teams across Apple. Collaborate with project managers and partner teams to gather requirements and translate them into technical solutions that improve developer productivity. Modernize legacy build-and-deploy pipelines, consolidating multiple build artifact types onto a single standardized containerized image deployed identically across environments. Develop and maintain multi-repo developer tooling - build, hotfix, request, and auto-merge systems - that enable hundreds of developers to build, test, and deploy services efficiently. Integrate AI-driven and agentic tools into on-call triage, debugging, and developer support to automate workflows, surface intelligent insights, and reduce operational toil. Design and build agentic AI systems - tool-using, multi-step agents and skills that autonomously triage pages, investigate build and deployment failures, and assist developers and SREs. Build and maintain containerized services using Kubernetes for reliable deployment and orchestration. Evolve platform architectures for reliability, maintainability, and performance at scale, while adding unit and integration test coverage and addressing security vulnerabilities. Write clean, maintainable, and well-tested code that upholds Apples high standard of engineering excellence. Participate in code reviews, architectural discussions, and production troubleshooting, sharing knowledge and elevating quality across the team. Contribute to CI/CD pipelines and infrastructure automation to enable rapid, safe deployments and hotfixes.2+ years of industry experience building backend systems. Strong programming skills in Java and Python. Hands-on experience with Kubernetes for container orchestration and deployment. Familiarity with utilizing and developing AI-driven and agentic tools to improve workflows and productivity. Knowledge of algorithms, data structures, and distributed systems principles. Experience with databases (relational and/or NoSQL) and scalable service architectures. Excellent communication skills and a collaborative mindset. BS, MS or PhD in Computer Science/EngineeringExperience with build systems and CI/CD tooling, and modernizing legacy build-and-deploy pipelines. Experience with containerization and standardized image-based deployment workflows. Familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow) and LLM libraries (e.g., LangChain, Hugging Face), or building AI-assisted developer and on-call tooling. Experience building agentic AI systems - LLM agents, tool/function calling, orchestration frameworks, or agent SDKs (e.g., Claude, MCP, LangGraph). Experience with large-scale codebase migrations and multi-repo tooling. Experience with messaging systems (e.g., Kafka) and microservices architectures. Passion for developer experience and empathy for building tools that empower other engineers.