Develop, test, and support features of DataRobot.
Create and maintain automated unit tests and functional tests.
Design infrastructure for new features with the input of peers.
Build a system that ensures micro-services are secure, performant, reliable, and can go from idea to production in hours.
Build a system that continuously provides recommendations to right-size computing resources for Kubernetes to ensure efficient cloud spending for ourselves and our customers.
Design and architect automated quality platforms to go from Enterprise-Grade releases from once-a-quarter to once-a-week to once-per-day to once-per-hour without sacrificing performance, security, or reliability.
Work with Product, Legal and Security to ensure the continuous delivery processes you build are compliant and secure.
Work with the team to ensure pipelines have clear playbooks and can operate 24/7 without you.
Work with a diverse group of architects and platform engineers across our R&D department to set continuous delivery and performance requirements for all production services.
Work with internal product managers to set roadmaps and define milestones to deliver innovative and simple solutions to our many teams’ continuous delivery and platform engineering issues.
Manage individual projects and milestones with abundant communication of progress.

5+ years of experience
Expert in developing a wide variety of software with Python (4+ years)
Experience designing and operating diverse CI/CD pipelines with Harness.io
Experience designing and innovating large-scale horizontal and vertically-scaled build, testing, and deployment systems for Kubernetes environments and familiarity with Helm charts
Preferred: Golang, Terraform and Terragrunt
Nice to Have: Direct experience with modern distributed compute frameworks (e.g., Ray, Dask) and large-scale job schedulers (e.g., Slurm, Kueue).
CKAD (Certified Kubernetes Application Developer) certification
Publicly reviewable contributions to interesting development projects.
Agentic AI experience
Experience working with NVIDIA infrastructure in managing (NIM Operator , NVIDIA Dynamo Operator)

Senior Backend Engineer

Key skills