DevOps / Platform Engineer
Core
Build and maintain scalable data infrastructure, automate workflows, and support Data Science teams in deploying and optimizing cloud-based data services.
Role type
DevOps / Platform Engineer supporting Data Science
Builds
Cloud data services, containerized data workloads, automated CI/CD pipelines
Domain
Data Science, Cloud Infrastructure, Distributed Computing
Deliverable
production ML models
Required skills
Python, Docker, Cloud platforms (AWS/GCP/Azure), CI/CD, Kubernetes (learning curve expected), Infrastructure-as-Code (Terraform preferred)
Preferred skills
Additional programming languages, advanced Kubernetes expertise, Infrastructure-as-Code tools
Technologies
Python, Docker, Kubernetes, Terraform, AWS, GCP, Azure
Responsibilities
Design cloud architecture for data workloads, manage container orchestration, develop server-side automation scripts, optimize cloud costs and access controls, implement CI/CD pipelines for data applications
Seniority
Mid-level, hands-on IC
