Devops Engineer- Agents

Apple Apple · Big Tech · Cupertino, CA · Machine Learning and AI

This role is for a Platform Engineer focused on the creation, deployment, and reliability of AI Agents and MCP servers within Apple's Manufacturing Design team. The engineer will work with LLM and GenAI technologies, participate in feature design, and ensure the performance and scalability of backend services and APIs. The role requires strong experience in Go, Python, or Typescript, and in deploying applications using tools like Ansible, Docker, and Jenkins.

What you'd actually do

  1. Support and advance development environments to reduce friction when shipping to production
  2. Identify and optimize API endpoint performance and MCP server bottlenecks that affect user workflows
  3. Support the troubleshooting, mitigation and fixing of production issues involving our Applications, Databases, Networks and Proxies using Grafana, Prometheus, Sentry, Kibana, WireShark and other monitoring and debugging tools
  4. Plan, develop and shape new features by collaborating with product and dev as well as users and stakeholders
  5. Review code and collaborate on pull requests with your team members

Skills

Required

  • Go
  • Python
  • Typescript
  • Ansible
  • Docker
  • Jenkins
  • HTTP API development
  • Backend services development
  • Web applications development
  • API deployment
  • Infrastructure management
  • Troubleshooting production issues
  • Monitoring tools (Grafana, Prometheus, Sentry, Kibana, WireShark)

Nice to have

  • Cloud environments
  • Bare metal deployment
  • Manufacturing experience

What the JD emphasized

  • 8+ years Go (preferred), Python, or Typescript experience
  • 8+ years experience deploying applications using Ansible, Docker, Jenkins or related tools.
  • 5+ years in a senior role working across the entire web stack with a skilled team
  • 5+ years building robust HTTP API's and backend services

Other signals

  • AI Agents
  • LLM
  • GenAI
  • MCP servers
  • API and Infrastructure experience
  • deploy and scale code to production environments