GXO Logistics, Inc.

Senior DevOps AI Platform Engineer

GXO Logistics, Inc. • $120K — $150K *
US-AnywhereRemote in North Carolina, US
Information Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, Engineering, Information Technology, Cloud Computing, or related field, or equivalent experience.
  • Google Cloud Professional DevOps Engineer certification required.
  • 8+ years of experience in platform engineering, DevOps, or related fields.
  • 5+ years of hands-on Google Cloud Platform experience in production.
  • Deep expertise in Google Kubernetes Engine (GKE) and its operations.
  • Expertise in developing and managing Terraform infrastructure, including reusable modules.
  • Strong experience in designing and maintaining secure CI/CD pipelines.

Responsibilities

  • Establish the enterprise DevOps operating model for the Agentic AI Platform, including release governance and deployment practices.
  • Design and manage CI/CD pipelines for AI infrastructure and services.
  • Engineer and operate Kubernetes capabilities on Google Cloud, focusing on deployment and observability.
  • Manage Terraform infrastructure delivery across multiple environments.
  • Collaborate with Cloud Engineering and Architecture teams to implement enterprise standards and processes.
  • Enable advanced platform capabilities like open-source model serving and cost-governed operations.
  • Implement enterprise DevSecOps controls in collaboration with Information Security.

Benefits

  • Full health insurance (medical, dental, vision).
  • 401(k) plan with company matching.
  • Life insurance and disability coverage.
  • Opportunity to participate in a company incentive plan.
Full Job Description
Senior DevOps AI Platform Engineer

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.

Pay, benefits and more

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and the opportunity to participate in a company incentive plan.

What you'll do on a typical day
  • Establish the enterprise DevOps operating model for GXO's Agentic AI Platform, including CI/CD standards, branching strategies, release governance, environment promotion, deployment approvals, and operational handoff practices.
  • Design, build, and manage secure, repeatable CI/CD pipelines supporting AI platform infrastructure, platform services, agents, MCP servers, LiteLLM, Agent Gateway integrations, model-serving components, and supporting services.
  • Engineer, deploy, and operate Kubernetes-based platform capabilities on Google Kubernetes Engine (GKE), including deployment standards, Helm or Kustomize, autoscaling, network policies, workload identity, secrets management, ingress/egress, observability, and production runbooks.
  • Own Terraform infrastructure delivery by developing reusable modules, managing state, enforcing pull request controls, implementing policy guardrails, maintaining environment parity, detecting configuration drift, and promoting infrastructure across development, test, staging, and production environments.
  • Partner with the Principal Cloud Engineer to implement Google Cloud Platform foundations while leading day-to-day DevOps enablement, release engineering, Kubernetes operations, pipeline reliability, and developer experience.
  • Collaborate with the Principal Cloud AI Platform Architect to translate enterprise architecture standards, reference architectures, and architectural decision records (ADRs) into automated build, test, deployment, and operational processes.
  • Enable Phase 2 platform capabilities, including GKE-based open-source model serving, vLLM or comparable inference runtimes, scalable deployment patterns, model tiering infrastructure, and cost-governed platform operations.
  • Implement enterprise DevSecOps controls in partnership with Information Security, including vulnerability scanning, dependency scanning, container image hardening, Binary Authorization (or equivalent), secrets management, audit logging, and secure deployment gates.
  • Create standardized "paved road" developer workflows that enable engineers to provision environments, deploy AI agents, publish MCP services, test integrations, and promote code changes through approved automation.
  • Champion AI-assisted software engineering practices by enabling secure AI coding tools, automated testing, documentation generation, code review acceleration, pipeline diagnostics, and developer productivity improvements.
  • Build comprehensive observability across the platform through logs, metrics, traces, dashboards, alerts, SLOs, SLIs, deployment health monitoring, traceability, cost attribution, and operational readiness reporting.
  • Automate operational processes to reduce manual effort, improve incident response readiness, and maintain runbooks for releases, rollbacks, break-glass procedures, platform operations, and escalation processes.
  • Support secure integration between the AI platform and Snowflake-governed data access patterns through automated deployment, configuration, policy enforcement, and runtime observability.
  • Develop and maintain engineering documentation, including CI/CD standards, Terraform module guidance, Kubernetes operating procedures, release checklists, onboarding documentation, and operational runbooks.

What you need to succeed at GXO

At a minimum, you'll need
  • 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.

It'd be great if you also have
  • 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.

About GXO Logistics, Inc.

GXO Logistics, Inc. Careers

Join the dynamic team at GXO Logistics, Inc., a leading global provider of cutting-edge supply chain solutions. At GXO, we are committed to fostering a workplace where innovation thrives, leadership is cultivated, and diversity is celebrated. Discover a world of exciting job opportunities and be part of a company that values professional growth and development.

Work You’ll Do

Embark on a career journey with GXO Logistics, Inc., where you will be instrumental in transforming the logistics and transportation industry. Our team is at the forefront of innovation, driving efficiency and effectiveness for some of the world's most recognized brands.

Lead with Us

Step into a role of leadership and influence at GXO. We empower our employees with diversity training and leadership opportunities that pave the way for personal and professional growth. Our culture is built on the principles of teamwork, respect, and integrity—values that are integral to all we do.

Innovate with Us

At GXO Logistics, Inc., innovation is at the core of our operations. Join our team and contribute to groundbreaking projects that redefine logistics. With a focus on advanced technology and sustainable practices, your work will help shape the future of supply chain management.

Grow Your Career

GXO is not just a company; it's a place where careers flourish. We offer a range of job opportunities, from entry-level positions to senior roles in various departments. Whether you're seeking an internship to kickstart your career or a professional role to advance your skills, GXO provides the resources and support to help you succeed.

Benefits of Joining GXO

- **Career Advancement**: With a multitude of career paths and educational resources, the potential for growth is limitless. - **Professional Development**: Enhance your skills through targeted training programs and gain valuable experience that will elevate your career. - **Competitive Benefits**: Enjoy a comprehensive benefits package that supports the well-being of you and your family. - **Inclusive Culture**: Thrive in an environment that embraces diversity and fosters a sense of community among team members.

Join Our Team

Explore the array of job opportunities at GXO Logistics, Inc. and find the position that best matches your skills and interests. We are continuously hiring and looking for ambitious, curious, and driven individuals to join our team.

Prepare for Your Interview

Ready to make your mark at GXO? Prepare your resume and sharpen your interview skills. Our hiring process is designed to identify and attract talent who are passionate about logistics and innovation.

Stay Connected

Keep up to date with the latest career tips, company news, and industry insights by joining our network. Follow GXO Logistics, Inc. on our careers page and connect with us through professional networking platforms.

Apply Now

Don’t miss out on the opportunity to be part of something big. Visit the GXO Logistics, Inc. careers page to view open positions, submit your resume, and start your journey towards a rewarding career in logistics.

EXPLORE GXO LOGISTICS, INC. JOBS

Join us at GXO Logistics, Inc., where your career is just the beginning of a journey filled with opportunities for growth, innovation, and leadership.
Learn more about GXO Logistics, Inc.
Market Cap
$4.9 billion
Industry
Transportation
* Ladders Estimates

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