DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.
Requirements
- 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
- 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.
Benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP)
