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AI Platform Engineer
AI Platform EngineerExpedient • Phoenix, AZ, US
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AI Platform Engineer

AI Platform Engineer

Expedient • Phoenix, AZ, US
30+ days ago
Job type
  • Full-time
Job description

Job Description

Job Description
Summary

Join Expedient's AI CTRL product team to build and scale the infrastructure powering our containerized AI platform. You'll create the robust backbone for enterprise-scale AI services, working directly with our Division COO in a high-impact, high-growth environment. Deep AI expertise isn't required—bring your mastery of Kubernetes, Elastic Stack, and cloud infrastructure

Key Responsibilities

  • Build & Deploy: Design and maintain Kubernetes-based cloud infrastructure for AI CTRL's containerized services
  • Orchestrate & Scale: Manage clusters, deployments, and auto-scaling to meet performance targets
  • Monitor & Optimize: Implement comprehensive observability using Elastic Stack; continuously tune for efficiency
  • Secure & Protect: Ensure infrastructure meets strict security and compliance standards
  • Collaborate & Support: Partner with developers and engineers; translate complex infrastructure into simple terms
  • Troubleshoot & Improve: Rapidly resolve issues and drive continuous platform enhancements
Qualifications
  • Experience: 5+ years in DevOps, SRE, or cloud platform engineering with production-scale infrastructure experience.
  • Technical Expertise: Strong Kubernetes and Docker proficiency. Experience with Elastic Stack (or similar) for monitoring/logging. Knowledge of CI/CD pipelines, IaC tools (Terraform, Helm). Solid Linux, networking, and cloud services (AWS/Azure/GCP) foundation. Scripting skills (Python, Bash) for automation.
  • Attributes: Adaptable self-starter who thrives in fast-changing environment. Strong ownership mentality with proactive problem-solving. Excellent communicator who simplifies complex concepts. Passionate about infrastructure innovation
  • Education: Bachelor's in Computer Science, Engineering, or related field (or equivalent experience). Cloud/Kubernetes certifications are a plus.

Location: Phoenix, Arizona office. On-site role, regional travel may be required.

Salary for this position will be based on your experience and your skills. Estimated salary range is $100,000 to $150,000 annually.

WORKING FOR EXPEDIENT
We prioritize ongoing education and continuous innovation to remain at the forefront of the information technology landscape. Our commitment to learning is reflected in our comprehensive employee training and tuition reimbursement programs, which are driven by our employees and funded by Expedient 100%.

For our full-time employees we offer an exceptional benefits package including three weeks of paid time off annually that increases with tenure plus your birthday off and a health holiday to be used for preventive care. We offer parental leave, top-tier medical, dental, and vision, disability and life insurance, at an affordable rate, wellness engagement opportunities, and a 401(k) with a generous match.

We also recognize the importance of a comfortable and convenient work environment. We offer a hybrid work model for many roles, paid parking and other perks.

Expedient is an equal opportunity employer. Qualified applicants will receive fair and equitable consideration for employment without regard to their race, color, religion, national origin, gender, protected veteran status, disability, or any other characteristic protected by law.

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AI Platform Engineer • Phoenix, AZ, US

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