Software Engineer, Deployment Compliance
Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026. Apple scores A on the Alion truth index.
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 don't 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 Apple's Commerce and platform engineering teams depend on to get code into production every day. Join us to develop the next-generation of Apple's cloud services infrastructure. As a Software Engineer on the Build Support Engineering team, you'll 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. We're 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 you're 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, we'd love to hear from you. Join us, and help craft the future of build and deployment at Apple.
Description
Imagine empowering hundreds of developers across Apple Service Engineering to plan, approve, and release changes to their services faster, more safely, and with far less toil.
At Apple, we don't just build products, we craft experiences that redefine entire ecosystems. The Application Change Management Services team sits underneath that work, owning the services that govern how changes reach production across Apple's platform engineering teams every day: change tracking, approvals and risk assessment, release coordination, and audit and compliance workflows. Join us to develop the next generation of Apple's cloud services infrastructure.
As a Software Engineer on the Application Change Management Services team, you'll play a key role in modernizing large-scale change management systems. You'll untangle years of legacy process and tooling, standardize on a single, well-integrated path from change request to production, and build agentic AI systems that assess change risk, triage failed or blocked changes, and support developers autonomously. This is about designing robust, scalable systems that let hundreds of developers propose, validate, and release changes efficiently, while continuously simplifying the platform underneath them.
We're 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 you're energized by challenges that span distributed systems, change and release tooling, integrations with build and deployment pipelines, and autonomous intelligent agents, and you're ready to work on systems used by engineering teams across Apple, we'd love to hear from you.
Join us, and help craft the future of change management at Apple.
Minimum Qualifications
2+ years of industry experience building backend systems.
Strong programming skills in Java and Python.
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/Engineering
Preferred Qualifications
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.