Platform Engineer- DevOps

O projekcie: We are looking for experienced team players to fill the position of Platform Engineer and participate in our up-and-coming project for our client from pharmaceutical industry. Wymagania: - 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. Codzienne zadania: - 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.