Platform Engineer- DevOps

• Contribute to deployment of state-of-the-art machine learning algorithms applied to cancer research.
  
• Support the development of our internal ML tooling for large image analysis in the medical domain.
  
• Work towards productization of prototypic workflows into compliant ML products at scale.
  
• Support development of internal ML tooling: develop novel, or improve existing tools
  
• Develop, deploy and maintain complex data stream pipelines.
  
• Evaluate, qualify and integrate cloud-based computing platforms in close collaboration with IT and development teams.
  

Requirements

• At least 5 years of experience as DevOps/Platform Engineer
  
• Practical, production experience operating Kubeflow Pipelines for reproducible ML workflows at scale.
  
• Proven experience deploying and operating workloads on Kubernetes (EKS/GKE/AKS), including upgrades, autoscaling, RBAC, networking, and reliability; strong Unix/Linux fundamentals.
  
• Hands-on experience with AWS services (EKS, EC2, S3, IAM, CloudWatch; RDS a plus) and the ability to design secure, cost-aware architectures.
  
• Strong Terraform skills and Git-based workflows for repeatable infrastructure provisioning and configuration management.
  
• Practical experience with CI/CD platforms (GitHub Actions/Jenkins/GitLab CI), including artifact management, environment promotion, and progressive delivery.
  
• Solid Python and/or shell scripting for platform automation and toil reduction.
  
• Experience implementing logging, metrics, and tracing with SLOs, alerts, and runbooks (e.g., Prometheus, Grafana, CloudWatch, Splunk/New Relic) and a security-first mindset.
  
• Ability to lead technical initiatives, communicate trade-offs clearly, and collaborate effectively with engineering and science teams.
  

• Experience with MLflow, Feast, Argo, Airflow, Ray, and model versioning/monitoring.
  
• Familiarity with S3/object storage, artifact registries, and handling large image datasets; basic SQL/NoSQL exposure.
  
• Experience with digital pathology or large-scale image processing (e.g., whole-slide images) and tools like OpenSlide, scikit-image, or OpenCV.
  
• Experience tuning high-throughput pipelines, concurrency, memory usage, and integrating GPUs/accelerators.
  
• Experience with VPC design, ingress/egress, service meshes, secrets management, IAM, and policy as code.
  
• Experience in regulated environments (e.g., GxP), including data governance, privacy, and building software under regulated processes.
  
• Experience with Jira/Zendesk and with JavaScript/TypeScript for internal tools or dashboards.
  
  

Benefits

• Hybrid work mode ( 1-2 days/per week from customer office in Warsaw)
  
• Professional training programs – including Udemy and other development plans
  
• Work with a team that’s recognized for its excellence. We’ve been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We’ve also received the Great Place To Work® certification for five years in a row