Senior Backend Engineer

Key Responsibilities

• 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.

Knowledge, Skills and Abilities

• Expert proficiency in Kubernetes architecture and operations including resource management/scheduling, auto-scaling, Gateway API/Ingress, Prometheus, and OpenTelemetry or experience with other orchestrators like nomad/slurm.
• Experience with gpu clusters, either as a user or administrator or experience in multi-node AI/ML.
• Passionate about developing products for your fellow internal developers.
• Strong Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.
• An understanding of design for scalability, performance, and reliability.
• Deep experience with automated testing and test-driven development.
• Demonstrable knowledge of software architecture for large systems.
• Self-motivated and proactive, able to take ownership and deliver results.
• Able and willing to learn about new technologies.
• Personal drive to get things finished.
• Effective communication.
• Operational excellency to continuously define and improve SLA (Service Level Agreement) working backward from customer experience for all the software components this team manages.

Requisite Education and Experience / Minimum Qualifications

• 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.

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).