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DevOps Engineer

Job in Dover, Kent County, Delaware, 19904, USA
Listing for: Ford Motor Company
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, AI Engineer, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Ford is embarking on an electrifying digital transformation, and our cutting-edge API ecosystem is at its very heart. We're seeking a visionary and experienced Senior Dev Ops Engineer to take a leading role in architecting and operationalizing the Dev Ops strategy for our business-critical API Gateway (Apigee). This is a unique chance to engineer robust, scalable solutions that will power seamless connectivity across Ford's global operations, directly impacting how we innovate and serve our customers.

If you're a highly motivated engineer who thrives in a dynamic, fast-paced environment, is passionate about Site Reliability Engineering (SRE), and genuinely excited to learn and adapt every single day, we invite you to help us build the future.

What You'll Do (Your Impact & Responsibilities)
  • Spearhead Dev Ops & Git Ops Evolution: Lead the modernization of Dev Ops tooling and CI/CD pipelines for our mission-critical Apigee API Gateway, embracing Git Ops methodologies to ensure declarative, automated, and secure deployments.

  • Pioneer AIOps & Intelligent SRE: 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.

  • Enable AI & Next-Gen Workloads: 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).

  • Innovate with AI-Assisted Development: Utilize GenAI coding assistants (e.g., Git Hub Copilot) to accelerate the creation of Infrastructure as Code (IaC), automation scripts, and test-driven development (TDD) frameworks.

  • Global Collaboration & On-Call: 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.

  • Drive Strategic Alignment: Partner seamlessly across engineering, product, and security domains to champion the enterprise-wide API Gateway strategy and integrate security-as-code (Dev Sec Ops ) from day one.

What You'll Bring (The Essentials)
  • Educational Foundation: A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

  • Dev Ops & CI/CD Mastery (5+ Years): Proven experience with modern CI/CD pipelines (e.g., Git Hub Actions, Tekton, Jenkins), Infrastructure as Code (e.g., Terraform), and advanced deployment techniques (blue/green, canary releases).

  • Distributed Systems & Cloud Expertise (5+ Years): Deep understanding of REST API design and experience with distributed architectures running on modern platforms like Cloud Run, Kubernetes (GKE), or Open Shift.

  • Programming Prowess: Proficiency in languages such as GoLang, Python, or Java to build highly effective automation, custom tooling, and integrations.

  • Modern Agile & AI Literacy: Demonstrable experience working within Agile methodologies, coupled with a baseline understanding of how to utilize AI tools to enhance software engineering productivity.

Bonus Points (What Will Make You Shine)
  • API Gateway Operations: Direct experience with enterprise API Gateway operations, troubleshooting, and management (Google Cloud Apigee experience is a strong plus).

  • AI/ML Infrastructure

    Experience:

    Experience supporting MLOps, LLMOps, or integrating AI/Cognitive services via API gateways.

  • Advanced SRE & AIOps Practitioner: Proven experience defining SLOs/SLIs, managing error budgets, driving blameless post-mortems, and using AI-enhanced observability platforms (e.g., Datadog Watchdog, Dynatrace, or GCP Cloud Operations).

  • Google Cloud Platform (GCP) Mastery: Significant cloud architecture and operational experience specifically within the GCP ecosystem.

  • Fin Ops Awareness: Experience optimizing cloud infrastructure for cost-efficiency without sacrificing performance.

  • Deep API Technology Knowledge: Expertise in Swagger/OpenAPI specifications, gRPC, Graph

    QL, and API testing automation (e.g., Postman, REST Assured).

  • Advanced

    Education:

    A Master's Degree in Computer…

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