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Expedient Linkedin · Posted 2mo ago

AI Platform Engineer

Cleveland, Ohio, United States

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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: Cleveland, Ohio 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. 

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