Senior MLOps Platform Engineer - AWS & Kubernetes

SoftServe; Polska; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Flexible work model

Competitive pay and health coverage

Learning opportunities

Job summary

SoftServe is seeking an experienced MLOps Platform Engineer to operate and evolve a cloud-native, multi-tenant MLOps platform supporting ML workloads.

You will collaborate with engineering, data science, and infrastructure teams to ensure secure, scalable, and reliable operations, from onboarding tenants to CI/CD pipelines.

This role emphasizes automation, IaC, and monitoring using Kubernetes, Terraform, ArgoCD, and cloud services.

Qualifications

• Experience operating a Kubernetes-based MLOps platform.
• Hands-on IaC with Terraform, Terragrunt and Helm.
• Experience with GitOps and CI/CD tools (ArgoCD, GitHub Actions).
• Knowledge of IAM, VPC, monitoring, and platform security best practices.
• Proficiency in Python or Bash scripting.
• Strong collaboration and communication skills.

Responsibilities

• Operate, maintain, and improve a Kubernetes-based MLOps platform.
• Manage infrastructure using Terraform, Terragrunt, and Helm.
• Support tenant onboarding, deployment pipelines, and ML workflows.
• Monitor platform health, respond to incidents, and optimize costs.
• Collaborate with engineering, data science, and infrastructure teams.

Skills

Kubernetes

AWS EKS/IAM/VPC/Route53/S3/ECR

CI/CD

GitOps

Python/Bash scripting

Monitoring/Observability

Security best practices

Cloud infrastructure design

Collaboration across teams

GPU/AI infra (nice to have)

Tools

Terragrunt

Helm

ArgoCD

GitHub Actions

Terraform

Job description

SoftServe is seeking an experienced MLOps Platform Engineer to operate and evolve a cloud-native, multi-tenant MLOps platform supporting ML workloads.

You will collaborate with engineering, data science, and infrastructure teams to ensure secure, scalable, and reliable operations, from onboarding tenants to CI/CD pipelines.

This role emphasizes automation, IaC, and monitoring using Kubernetes, Terraform, ArgoCD, and cloud services.