We are looking for experienced team players to fill theposition of Platform Engineer and participate in our up-and-coming project for our client from pharmaceutical industry.
Requirements
M.Sc. in Computer Science/Engineering (or equivalent) or comparable industry experience.
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.
Nice to have:
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
Questions? Get in touch with the recruitment person hiring for this position!
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* Please Note: different job opportunities may have a slightly different version of this process.
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