Senior Engineering Manager, DataRobot

• 5-7 years of proven experience designing and implementing high-quality solutions in a collaborative environment including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Expert proficiency in Kubernetes. Experience in building and running software systems on Kubernetes clusters in production including resource management scheduling, auto-scaling, and cluster networking
• Deep understanding of Software Architecture and Infrastructure setups in common cloud providers (e.g. AWS, Azure, Google Cloud)
• Designing scalable systems and data modeling
• Deep understanding of business and tech processes
• Comfortable working with senior stakeholders (Directors, VPs, or C-Suite), both technical and non-technical
• Having an analytical, data-driven, and efficiency-focused approach
• Working hands-on with high attention to detail and having a get-things-done mentality
• Demonstrated success managing a team of high-performing professionals
• Solid communication skills
• Bachelor's Degree in CS, MIS, or equivalent experience

Desirable

• Our Fleet Management team provides the core infrastructure and experience to deploy and operate a world class platform across all customer environments, cloud providers, and deployment options - multi-tenant SaaS, single-tenant SaaS, and Self-Managed VPC and Onprem
• The team provides frameworks, pipelines and tooling for engineering teams to efficiently run their services at scale
• The Senior Engineering Manager will lead a Control Plane Services foundational team, which is responsible for the Build, Run, and Own lifecycle of the core Kubernetes infrastructure for DataRobot SaaS environments and related instances
• This role enables DataRobot Engineering to safely and efficiently deliver features to SaaS and self-managed customers at scale
• This role involves managing teams, collaborating with various cross-functional stakeholders, and driving infrastructure standards adoption, cloud infrastructure patterns and unifying SaaS and Self-managed delivery at DataRobot
• Our team is expanding and looking for an Engineering Manager to help us develop the very foundation for the entire DataRobot
• The Common Infrastructure platform is an opinionated Kubernetes implementation, following best practices for security, reliability and maintainability
• It leverages modern, cloud-native technologies to provide scalable, production-grade environments for deploying the DataRobot platform
• Team goal is to make DataRobot a cloud native application across all major clouds as well as on-premises environments
• We are Kubernetes experts and enthusiasts building multi-tenanted secure and reliable Kubernetes based platform
• We utilize advanced mechanisms based on declarative Kyveron policies, Cilium CNI, sophisticated ingress and egress rules, advanced autoscaling and other interesting techniques to empower dozens of DataRobot services
• We manage and build infrastructure in a repeatable and declarative way and run massive clusters in all major clouds
• Lead the team delivering core infrastructure of the DataRobot Platform
• Own the roadmap, backlog and help driving the team work
• Facilitate technical design of the new components and be a tie breaker
• Pioneer and drive adoption of the Kubernetes ecosystem across the company
• Partner with other DataRobot teams to help them embark on a (multi) cloud journey
• Coach, inspire and develop engineers on the team