DevOps Engineer - 6 months contract (4 open position)

Context

You’ll be part of a DevOps team that manages Kubernetes platforms in Azure and AWS. Your task will be to support all required activities for the migration from Azure/Azure DevOps pipelines to AWS/GitHub Actions.

Missions

• Support migration activities from Azure/Azure DevOps pipelines to AWS/GitHub Actions.
• Manage Kubernetes platforms and containerized workloads in cloud environments.
• Troubleshoot and provide operational support for production Kubernetes clusters.
• Design, build, refactor, and maintain infrastructure across Azure and AWS using Terraform.
• Deploy and operate JupyterHub and JupyterLab at scale on Kubernetes (for 1–2 out of 4 positions).
• Plan and execute data and storage migration, including database migration and persistent storage.
• Manage cloud and Kubernetes networking, including VNet/VPC, DNS, TLS, ingress/egress traffic, firewall rules, load balancing, and connectivity testing.
• Implement security best practices, including identity mapping, least privilege, secrets management, workload identity, container image scanning, and compliance support.
• Monitor, log, alert, and troubleshoot Kubernetes and cloud environments using tools like CloudWatch, Azure Monitor, Prometheus, Grafana, and OpenTelemetry.
• Automate migration tasks, validation checks, operational runbooks, and pipeline activities using scripting languages such as Python or Bash.

Tools & Environment

• Kubernetes, Docker, Helm, Kustomize
• AWS services: EKS, IAM, IRSA, VPC networking, security groups, load balancers, Route 53, JFrog image registries, CloudWatch, Secrets Manager, Parameter Store, S3, RDS, EFS
• Azure services: AKS, Azure DevOps, Azure Container Registry, Azure networking, Azure identity, Key Vault, Azure Monitor, Log Analytics
• Infrastructure as Code: Terraform (expert level)
• CI/CD: GitHub Actions (expert level)
• JupyterHub and JupyterLab (deployment and operation on Kubernetes)
• Scripting: Python, Bash

Nice to Have

• AKS to EKS migration experience
• Migration from Azure DevOps YAML pipelines to GitHub workflows
• Experience with JupyterHub and JupyterLab

Working Conditions

• Start date: 01/09/2026
• Contract duration: 6 months (estimated mission duration: more than 6 months)
• Location: Poland
• Office presence: 2 to 3 times per week in Warsaw, Poland
• Remote work: occasional remote work possible

Administrative Information

• Created on: 04/08/2026
• Proposal deadline: 12/08/2026

1. 5+ years of hands-on DevOps, platform engineering, or cloud infrastructure experience
2. Strong knowledge of Kubernetes, Docker, Helm and/or Kustomize, container image management, Kubernetes RBAC, service accounts, ingress controllers, workload troubleshooting, and operational support for production clusters
3. Strong hands-on experience with AWS services for Kubernetes workloads including EKS, IAM, IRSA, VPC networking, security groups, load balancers, Route 53, JFrog-based image registries, CloudWatch, Secrets Manager or Parameter Store, S3, RDS, and EFS
4. Solid hands-on experience with Azure services such as AKS, Azure DevOps, Azure Container Registry, Azure networking, Azure identity, Key Vault, Azure Monitor, Log Analytics, and related platform integrations
5. Expert-level Terraform experience including designing, building, refactoring, and maintaining infrastructure across Azure and AWS
6. Expert-level experience with GitHub Actions
7. Hands-on experience deploying and operating JupyterHub and JupyterLab at scale on Kubernetes in cloud environments (preferably AWS EKS), including Helm chart customization, OAuth2/OIDC authentication, persistent storage, resource quotas, auto-scaling, GPU/compute-intensive workload support, and cloud-native service integration
8. Practical understanding of data and storage migration activities including database migration planning, backup and restore, schema/service compatibility checks, cutover and rollback planning, data validation, and migration of persistent storage for Kubernetes workloads
9. Strong understanding of cloud and Kubernetes networking including VNet and VPC concepts, DNS, TLS certificates, ingress/egress traffic, firewall rules, private connectivity, load balancing, service discovery, and connectivity testing between Azure, AWS, and on-premises
10. Strong security mindset with experience mapping Azure identity and Kubernetes RBAC to AWS IAM and EKS access patterns, implementing least privilege, managing secrets securely, configuring workload identity, scanning container images, applying Kubernetes security best practices, and supporting audit and compliance requirements
11. Experience with monitoring, logging, alerting, and troubleshooting in Kubernetes and cloud environments using CloudWatch, Azure Monitor, Log Analytics, Prometheus, Grafana, OpenTelemetry, application logs, metrics, traces, dashboards, and alert migration
12. Proficiency in at least one scripting language such as Python or Bash to automate migration tasks, validation checks, operational runbooks, and pipeline-related activities