Senior Engineering Manager - Fleet Management

Job Description:

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.

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.

Key Responsibilities

• 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
  
  
  

Knowledge, Skills, And Abilities

• 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
  
  
  

Nice To Have

• Experience building multi-tenant platforms
• Experience delivering software to both SaaS and on-premise environments.
• Desire to mentor software engineers in all aspects of their engineering skill-sets.
  
  
  

The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

DataRobot Operating Principles:

• Wow Our Customers
• Set High Standards
• Be Better Than Yesterday
• Be Rigorous
• Assume Positive Intent
• Have the Tough Conversations
• Be Better Together
• Debate, Decide, Commit
• Deliver Results
• Overcommunicate
  
  
  

Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.

DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.

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