DevOps Engineer
Ford
- Location
- Remote (United States)
- Compensation
- $85k - $192k/yr
- Employment
- Full-time
- Level
- Senior Level
About the Role
Ford is undergoing an electrifying digital transformation, and this role is central to its API ecosystem. You will lead the DevOps strategy for their critical API Gateway, impacting global operations and innovation.
Skills
Benefits
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Prescription Drug Coverage
- Flexible Family Care Days
- Paid Parental Leave
- New Parent Ramp-up Programs
- Subsidized Back-up Child Care
- Adoption Expense Reimbursement
- Surrogacy Expense Reimbursement
- Fertility Treatments
- Tuition Assistance
- Paid Holidays
- Paid time off
Perks
- Vehicle discount program
- Management leases
- Employee resource groups
- Paid time off for community service
- Option to purchase additional vacation time
- Remote OK
Full job details
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 DevOps Engineer to take a leading role in architecting and operationalizing the DevOps 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 DevOps & GitOps Evolution: 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.
- 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., GitHub 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 (DevSecOps) 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.
- DevOps & CI/CD Mastery (5+ Years): Proven experience with modern CI/CD pipelines (e.g., GitHub 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 OpenShift.
- 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.
- FinOps Awareness: Experience optimizing cloud infrastructure for cost-efficiency without sacrificing performance.
- Deep API Technology Knowledge: Expertise in Swagger/OpenAPI specifications, gRPC, GraphQL, and API testing automation (e.g., Postman, REST Assured).
- Advanced Education: A Master's Degree in Computer Science, Engineering, or a related field.
Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.
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