Job description

The Build Support Engineering team is looking for a talented Software Engineer to help evolve the core build, deployment, and hotfix systems that Apple's developers depend on every day. You'll 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. You'll collaborate closely with project managers, partner platform teams, and SREs to translate clear requirements into production systems that are performant, resilient, and continually improving. 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/Engineering Experience 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.

Requirements

Must-haves

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/Engineering
Experience 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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aijavapythonkubernetesci/cdmlllm

Platform: apple
Effort: medium