AI Platform Engineer

Posted 22 Days Ago
Be an Early Applicant
Phoenix, AZ
In-Office
100K-150K Annually
Senior level
Cloud • Information Technology • Security • Cybersecurity
The Role
The AI Platform Engineer is responsible for building and managing Kubernetes-based AI infrastructure, ensuring security, optimizing performance, and collaborating with teams to enhance platform capabilities.
Summary Generated by Built In
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. 

Top Skills

AWS
Azure
Bash
Ci/Cd
Docker
Elastic Stack
GCP
Helm
Kubernetes
Linux
Python
Terraform
Am I A Good Fit?
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The Company
Baltimore, MD
370 Employees
Year Founded: 2001

What We Do

Expedient is a network of data centers offering cloud computing, a wide range of managed services, and network connectivity.

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