Ford Motor Company logo
Ford Motor Company

This position is a salary grade 8 and ranges from $99,100-166,200. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. #LI-Remote #LI-DE2

DevOps Engineer

DevOps EngineerDevOps EngineerFull TimeRemoteMid LevelTeam 10,001+Since 1903H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

2 days ago

Salary

$85.4K - $192.9K / year

Seniority

Mid Level

No structured requirement data.

Job Description

DevOps Engineer

Ford Motor Company

Role Description 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. Qualifications - A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - 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). - Deep understanding of REST API design and experience with distributed architectures running on modern platforms like Cloud Run, Kubernetes (GKE), or OpenShift. - Proficiency in languages such as GoLang, Python, or Java to build highly effective automation, custom tooling, and integrations. - Demonstrable experience working within Agile methodologies, coupled with a baseline understanding of how to utilize AI tools to enhance software engineering productivity. Requirements - Direct experience with enterprise API Gateway operations, troubleshooting, and management (Google Cloud Apigee experience is a strong plus). - Experience supporting MLOps, LLMOps, or integrating AI/Cognitive services via API gateways. - 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). - Significant cloud architecture and operational experience specifically within the GCP ecosystem. - Experience optimizing cloud infrastructure for cost-efficiency without sacrificing performance. - Expertise in Swagger/OpenAPI specifications, gRPC, GraphQL, and API testing automation (e.g., Postman, REST Assured). Benefits - 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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