Lead AWS DevOps Engineer (MLOps)

TL;DR

Lead AWS DevOps Engineer (MLOps): Operating and evolving a cloud-native, multi-tenant MLOps platform for machine learning and data science workloads with an accent on Kubernetes, infrastructure as code, and GitOps. Focus on optimizing platform performance, ensuring security, and managing GPU infrastructure for AI/ML production environments.

Location: Poland (Remote/Office)

Company

hirify.global is a global engineering and technology company providing digital transformation services.

What you will do

• Operate, maintain, and improve a Kubernetes-based MLOps platform.
• Manage cloud infrastructure using Terraform, Terragrunt, and GitOps practices.
• Support tenant onboarding, deployment pipelines, and ML workflows.
• Monitor platform health and respond to incidents to ensure reliability.
• Optimize platform performance, security, and cloud costs.
• Collaborate with engineering and data science teams to deliver a scalable platform.

Requirements

• Experience with AWS services including EKS, IAM, VPC, Route53, S3, and ECR.
• Strong Kubernetes administration skills, including cluster operations and troubleshooting.
• Hands-on experience with IaC using Terraform, Terragrunt, and Helm.
• Experience with GitOps and CI/CD tools such as ArgoCD and GitHub Actions.
• Proficiency with monitoring tools like Prometheus, Grafana, CloudWatch, or Datadog.
• Scripting and automation skills using Python and/or Bash.

Nice to have

• Experience with NVIDIA technologies, including GPU infrastructure, GPU operators, or CUDA.
• Knowledge of AI/ML platform optimization.