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.

• 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.  

Must have

• Kubeflow
• Kubernetes
• Amazon EKS
• AKS
• Autoscaling
• RBAC
• Networking
• Unix
• Linux
• AWS
• AWS EC2
• AWS S3
• IAM
• CloudWatch
• Amazon RDS
• Terraform
• Git
• GitHub Actions
• Jenkins
• GitLab CI
• Python
• Shell
• Prometheus
• Grafana
• Splunk
• New Relic