Staff Software Engineer, DataRobot

• 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
• Experience setting technical direction, making architectural decisions, and driving consensus across multiple teams and stakeholders
• Able to influence others in the organization even where they lack explicit authority
• Proven track record for leading large-scale projects to completion across dozens of teams/Pods
• Experience mentoring senior engineers, fostering a positive team culture, and promoting continuous learning and improvement among colleagues
• Operational excellency to continuously define and improve SLA (Service Level Agreement) working backward from customer experience for all the software components this team manages
• 8+ years of experience
• Expert in developing a wide variety of software with Python (5+ 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

Desirable

• As a Staff Software Engineer in our AI Compute team, you’ll be a technical expert and a force multiplier
• You’ll lead by example—rolling up your sleeves as a technical contributor to solve complex problems, shaping architecture, and mentoring engineers to do their best work and advance their careers
• You’ll work across our control plane systems, influence cross-team roadmaps, and bring pragmatic engineering practices into how we build, test, and operate infrastructure software
• This role includes participation in an on-call rotation—we believe in shared ownership of our platform and aim to build systems that are resilient, observable, and require minimal intervention
• Build a system that ensures micro-services are secure, performant, reliable, and can go from idea to production in an hour
• 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