Devops Engineer

Ford Ford · Auto · United States · PD Operations and Quality

Senior DevOps Engineer to architect and operationalize the DevOps strategy for Ford's API Gateway (Apigee), focusing on AIOps, SRE principles, and enabling AI/LLM workloads. The role involves modernizing CI/CD pipelines, leveraging AI-assisted development tools, and ensuring secure and efficient routing for AI APIs.

What you'd actually do

  1. Lead the modernization of DevOps tooling and CI/CD pipelines for our mission-critical Apigee API Gateway, embracing GitOps methodologies to ensure declarative, automated, and secure deployments.
  2. Design and evolve production operations by embedding SRE principles and leveraging AIOps tools. Utilize AI-driven observability for anomaly detection, predictive alerting, and automated incident remediation to ensure exceptional availability.
  3. Architect gateway solutions that securely and efficiently route high-volume traffic for Ford’s Generative AI, LLM, and Machine Learning APIs (handling intelligent rate-limiting, caching, and payload security).
  4. Utilize GenAI coding assistants (e.g., GitHub Copilot) to accelerate the creation of Infrastructure as Code (IaC), automation scripts, and test-driven development (TDD) frameworks.
  5. Actively participate in a global on-call rotation (currently 1 week every 10 weeks, "follow the sun" model), collaborating with an international team to ensure 24/7 operational excellence.

Skills

Required

  • DevOps & CI/CD Mastery (5+ Years)
  • Distributed Systems & Cloud Expertise (5+ Years)
  • Programming Prowess (GoLang, Python, or Java)
  • Modern Agile & AI Literacy
  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience

Nice to have

  • API Gateway Operations (Google Cloud Apigee experience is a strong plus)
  • AI/ML Infrastructure Experience
  • Advanced SRE & AIOps Practitioner
  • Google Cloud Platform (GCP) Mastery
  • FinOps Awareness
  • Deep API Technology Knowledge (Swagger/OpenAPI, gRPC, GraphQL)
  • Master's Degree in Computer Science, Engineering, or related field

What the JD emphasized

  • API Gateway
  • AIOps
  • SRE
  • Generative AI
  • LLM

Other signals

  • API Gateway
  • DevOps
  • SRE
  • AIOps
  • Generative AI
  • LLM