Backend Engineer — AI-Driven Build & Deployment

Socket.dev

San Diego (CA)

On-site

USD 140,000 - 210,000

Full time

5 days ago
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Job summary

Apple is seeking a Software Engineer for the Build Support Engineering team to modernize build, deployment, and hotfix systems used by hundreds of developers. You will migrate legacy codebases to multi-repo workflows, standardize containerized artifacts, and scale tooling, while introducing AI-driven workflows and autonomous support capabilities.

Must have strong backend skills and experience with distributed systems.

Qualifications

  • 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 AI-driven tools to improve workflows.
  • Knowledge of algorithms, data structures, and distributed systems principles.
  • Experience with relational and/or NoSQL databases.
  • Excellent communication and collaborative mindset.
  • BS, MS or PhD in Computer Science/Engineering.

Responsibilities

  • Evolve core build, deployment, and hotfix systems powering Apple developers.
  • Migrate large legacy codebases into modern multi-repo workflows.
  • Standardize containerized build artifacts and scalable tooling.
  • Explore AI-driven automation to triage incidents and assist developers.
  • Collaborate with PMs, partner platform teams, and SREs to deliver robust production systems.

Skills

Backend development
Java
Python
Distributed systems
Algorithms & data structures
Databases
Communication
Team collaboration
AI-driven tooling familiarity

Education

BS in Computer Science/Engineering
MS in Computer Science/Engineering
PhD in Computer Science/Engineering

Tools

Kubernetes
LangChain
Hugging Face
PyTorch
TensorFlow

Job description

Apple is seeking a Software Engineer for the Build Support Engineering team to modernize build, deployment, and hotfix systems used by hundreds of developers. You will migrate legacy codebases to multi-repo workflows, standardize containerized artifacts, and scale tooling, while introducing AI-driven workflows and autonomous support capabilities.

Must have strong backend skills and experience with distributed systems.

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