GXO Logistics logo
GXO Logistics

GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work.

Senior DevOps AI Platform Engineer

DevOps EngineerDevOps EngineerFull TimeRemoteSeniorTeam 5,001-10,000

Location

United States

Posted

2 days ago

Salary

0

Seniority

Senior

No structured requirement data.

Job Description

Senior DevOps AI Platform Engineer

GXO Logistics

Role Description Are you ready to take your career to the next level with a rapidly growing global company? As a Senior DevOps Platform Engineer, you will establish and scale the enterprise DevOps operating model for GXO's Agentic AI Platform. This role is responsible for building secure, automated, and scalable cloud platform capabilities that enable AI application delivery across Google Cloud Platform, Kubernetes, Terraform, and CI/CD ecosystems. You'll partner closely with Cloud Engineering, Platform Architecture, Security, and Product teams to drive developer productivity, platform reliability, and operational excellence. If you're looking for an opportunity to make a significant impact on enterprise AI infrastructure, join us at GXO. Qualifications - Bachelor’s degree in computer science, Engineering, Information Technology, Cloud Computing, or a related technical field; equivalent hands-on experience may be considered. - Google Cloud Professional DevOps Engineer certification required. - Minimum of 8 years of platform engineering, DevOps, Site Reliability Engineering (SRE), infrastructure engineering, cloud engineering, or software delivery engineering experience. - Minimum of 5 years of hands-on Google Cloud Platform experience supporting production environments. - Deep expertise with Google Kubernetes Engine (GKE), including Kubernetes operations, workload identity, networking, autoscaling, ingress/egress, Helm or Kustomize, and production troubleshooting. - Expert-level experience developing and managing Terraform infrastructure, including reusable modules, state management, CI/CD integration, policy-as-code, infrastructure promotion, and drift management. - Strong experience designing and maintaining secure CI/CD pipelines using Cloud Build, GitHub Actions, GitLab CI, Azure DevOps, Jenkins, or similar platforms. - Experience implementing GitOps and DevSecOps practices, including code review automation, dependency scanning, container security, secrets management, signed artifacts, deployment approvals, and security guardrails. - Experience supporting cloud-native AI, machine learning, analytics, developer platform, or data platform workloads on Kubernetes and Google Cloud. - Ability to collaborate effectively with principal architects, cloud engineers, Information Security, product teams, and software developers to translate architectural vision into production-ready solutions. - Strong operational mindset with experience supporting incident response, root cause analysis, observability, production support, SLOs/SLIs, release readiness, and continuous operational improvement. - Excellent technical communication skills with the ability to develop engineering documentation, operating procedures, automation standards, and developer guidance. - Ability to influence engineering teams across a global matrix organization while driving adoption of modern DevOps and platform engineering practices. Requirements - HashiCorp Terraform Associate certification. - Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) certification. - Google Cloud Professional Cloud Architect, Cloud Security Engineer, or Machine Learning Engineer certifications. - Experience with AI platform technologies including LiteLLM, Agent Gateway, MCP servers, Vertex AI, Gemini, model routing, vLLM, or open-source model serving frameworks. - Experience enabling AI-assisted software development through secure coding assistants, automated testing, documentation generation, and developer productivity tooling. - Strong understanding of secure enterprise AI platform operations, cloud-native architecture, and scalable infrastructure automation. - Experience driving platform standardization, operational excellence, and developer enablement across large engineering organizations. - Self-starter with the ability to quickly establish credibility, operate independently, and make an immediate impact on the reliability, security, scalability, and velocity of enterprise AI platforms. Benefits - Competitive compensation. - Generous benefits package, including full health insurance (medical, dental, and vision). - 401(k) plan. - Life insurance. - Disability insurance. - Opportunity to participate in a company incentive plan. Company Description GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work. We are proud to be an Equal Opportunity employer including Disabled/Veterans. GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.

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