Must have

• DevOps

• Terraform

• Python

• Kubernetes

• MLOps

• MLflow

• Kubeflow

• Docker

• Linux

• Bash

• Cloud platform

• GCP

• Azure

• GitLab CI

• Communication skills

• English

• Polish

Nice to have

• YAML

• Security

• Audits

• Grafana

• Datadog

Requirements description

• 4+ years in DevOps/MLOps roles
• Strong Python and Linux/Bash skills
• Experience with containers (Docker, Kubernetes)
• Cloud platforms: AWS, GCP or Azure
• Hands-on CI/CD, monitoring, and infra automation (GitLab CI, Terraform, etc.)
• At least 1 year experience with ML workflows or model deployment
• Solid understanding of ML basics (e.g., train/test split, overfitting)
• Good communication skills, fluent English (B2+)

Your responsibilities

1. Build and maintain CI/CD pipelines (e.g., GitLab, ArgoCD)
2. Develop and operate cloud-native ML infrastructure (Docker, Kubernetes, AWS)
3. Automate infrastructure using Terraform, Ansible or similar tools
4. Support the deployment and monitoring of ML models (e.g., via SageMaker, MLflow, Kubeflow)
5. Collaborate with software engineers, data scientists and DevOps teams