Must have

• Python

• ArgoCD

• Kubernetes

• AWS/GCP

• English (C1)

• Polish (C2)

Nice to have

• AI

• Terraform

Requirements description

• Minimum 7 years of experience in DevOps, MLOps, or related engineering roles
• Willingness to work from the office 1–2 times per week for technical collaboration and strategy sessions
• Strong Python skills and ability to write clean, production-grade code
• Proven experience with Kubernetes and cloud platforms (AWS or GCP)
• Hands-on knowledge of ArgoCD and similar GitOps tools
• Strong architectural thinking and the ability to manage multiple project environments

Nice to have:

• Background in machine learning, AI infrastructure, or data engineering
• Experience with Terraform, Helm, MLflow, or Kubeflow
• Prior experience leading DevOps/MLOps in a startup or fast-scaling environment

Offer description

Hi there! If you’re looking for a high-impact position in an ambitious software house, we’ve got a match for you!

We're looking for a Lead DevOps / MLOps Engineer to help us shape and scale the infrastructure behind several exciting AI-driven projects.

Your responsibilities

1. Define architecture and DevOps strategy across multiple machine learning and software projects
2. Oversee implementation and ensure technical consistency and quality across projects
3. Mentor and support junior and mid-level engineers
4. Collaborate directly with our engineering-focused CEO
5. Stay up to date with best practices in MLOps, CI/CD, infrastructure as code, and cloud security