Remote Principal DevOps Engineer — AWS/K8s & AI Platforms

OpenTalent

United States

On-site

USD 119,000 - 161,000

Full time

7 days ago
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Job summary

OpenTalent is seeking a Principal DevOps Engineer to design, build, and optimize scalable cloud infrastructure and platform services that support modern application development and AI-driven solutions. This remote role centers on AWS, EKS, IaC, CI/CD automation, and data platform engineering.

The position requires hands-on AWS, EKS, Linux, and GitLab CI/CD experience, plus strong scripting and data pipeline skills to enable AI workloads and FinOps practices.

Qualifications

  • 5+ years of experience in Platform Engineering, DevOps, or Cloud Engineering.
  • Hands-on expertise with AWS, Amazon EKS, Linux, and GitLab CI/CD.
  • Strong SQL, ETL automation, and data pipelines experience.
  • Experience with AI, MLOps, or AIOps platforms is a plus.
  • Scripting and automation skills with cloud-native technologies.

Responsibilities

  • Design, deploy, and manage cloud-native infrastructure on AWS using GitLab CI/CD.
  • Build and support Kubernetes platforms (Amazon EKS) with scalability, security, and high availability.
  • Develop and automate ETL workflows and data pipelines for analytics and AI workloads.
  • Implement and support MLOps/AIOps and FinOps capabilities, including AI infrastructure and model deployment pipelines.
  • Troubleshoot Linux-based systems, optimize platform performance, and enforce operational best practices.

Skills

Data Pipelines
DevOps
GitLab CI/CD
Infrastructure As Code (IaC)
Kubernetes

Tools

AWS
Amazon EKS
Linux
Datadog
Python
Bash/Go
Terraform / IaC tools

Job description

OpenTalent is seeking a Principal DevOps Engineer to design, build, and optimize scalable cloud infrastructure and platform services that support modern application development and AI-driven solutions. This remote role centers on AWS, EKS, IaC, CI/CD automation, and data platform engineering.

The position requires hands-on AWS, EKS, Linux, and GitLab CI/CD experience, plus strong scripting and data pipeline skills to enable AI workloads and FinOps practices.

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