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DevOps​/IT Engineer

Job in Covington, Kenton County, Kentucky, 41011, USA
Listing for: Summer Robotics
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Key Responsibilities Cloud Infrastructure & CI/CD

  • Maintain and improve the Jenkins CI/CD infrastructure.
  • Scale Jenkins with on‑demand workers using AWS ECS and Terraform.
Docker & Container Management
  • Maintain and evolve custom Docker images based on NVIDIA CUDA for AMD and Jetson (ARM‑based).
  • Improve CI/CD caching strategies to significantly reduce Docker build times.
AI/ML Infrastructure
  • Maintain IaC for training AI/ML models using Terraform and Sage Maker AI..
  • Optionally integrate with a Dashboard for training orchestration and monitoring:
    Tensorboard or Weights & BIAS.
Hardware & Lab Support
  • Support lab operations by preparing, installing, and maintaining workstations, Jetson.
Team Support & Collaboration
  • Assist engineers when blocked by Dev Ops, CI/CD, IT, or cloud‑related issues.
  • Optional:
    Build small internal web dashboards or automation tools.
Required Technical Skills
  • Proficiency with AWS services (EC2, S3, IAM, ECR, VPC, autoscaling).
  • Good knowledge of Terraform and Infrastructure as Code methodologies.
  • Hands‑on experience maintaining Jenkins CI/CD pipelines.
  • Experience with C++ compilation tool chains (understanding build systems, not necessarily writing C++).
  • Strong Docker knowledge.
  • General IT infrastructure knowledge (networking basics, system administration, Linux environments).
  • Optional but valuable:
  • Experience with NVIDIA Jetson boards (flashing, OS preparation, infrastructure validation).
  • Fullstack experience for building internal tools.
Ideal Candidate Profile
  • Comfortable with in‑office collaboration (5 days/week in Campbell, CA)
  • Comfortable supporting multiple engineers daily, including rapid troubleshooting.
  • Strong problem‑solving skills and ability to autonomously improve existing systems.
  • Experience working in fast‑paced R&D or robotics/AI environments (preferred).
  • Ability to document processes, propose improvements, and work cross functionally with software teams.
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