Join to apply for the Staff Software Engineer (Fleet) role at DataRobot2 days ago Be among the first 25 applicantsJoin to apply for the Staff Software Engineer (Fleet) role at DataRobotOverviewDataRobot 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.DataRobot’s Fleet team is the engine behind how our platform runs across all customer environments—multi-tenant SaaS, single-tenant SaaS, VPC, and on-prem deployments. We build and operate the foundational Kubernetes infrastructure that powers everything from CI/CD to service orchestration and deployment at scale. We support a wide variety of deployment models—from SaaS to on-prem - using a Kubernetes-native approach and modern toolset. Our mission is to unify how we build, deploy, and operate the platform across environments while improving resilience, maintainability, and developer velocity. The next 1–2 years will be transformative for the Fleet team as we enable unified deployment experiences, zero-downtime upgrades, and intelligent platform automation while lowering Total Cost of Ownership and boosting developer velocity. This is not a “stay in your swim lane” role. You’ll question assumptions, challenge complexity, and help drive a high-performance culture. You’ll be trusted to bring clarity where there’s ambiguity, and momentum where there’s inertia. 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.Key ResponsibilitiesArchitect and implement scalable, secure Kubernetes-based infrastructure for multi-cloud and hybrid environments.Lead technical direction for core Fleet initiatives—control plane services, tenancy models, deployment pipelines, observability layers, and more.Mentor engineers across the team, fostering a strong engineering culture of ownership, curiosity, and excellence.Drive modernization efforts—introducing patterns like GitOps, Policy-as-Code (Kyverno), Cilium networking, autoscaling, and better resource efficiency.Collaborate deeply with SRE, Platform, and Application teams to align infrastructure capabilities with real-world product demands.Champion best practices in CI/CD, reliability, container lifecycle management, and dev experience.Be a thought partner to engineering leadership and help shape how Fleet scales its impact across the company.Knowledge, Skills, and Abilities7+ years of engineering experience, with at least 2+ in infrastructure, platform, or backend systems roles.Deep expertise in Kubernetes internals and operations, including networking, scheduling, scaling, and controller patterns.Proven ability to design and build systems from scratch, making pragmatic tradeoffs along the way.Strong proficiency in modern programming languages such as Python or Go. Experience building production-quality, reliable, and observable systems that are used across engineering organizations.A growth-oriented mindset—driven to teach, learn, and improve systems as well as people.Experience operating across multiple cloud providers (AWS, GCP, Azure) and/or hybrid environments.Strong experience with Helm, container orchestration patterns, and CI/CD automation.Comfortable working with IaC (Terraform, Pulumi) and GitOps workflows.Ability to influence without authority and align diverse stakeholders around technical decisions.Nice to HaveFamiliarity with Cilium, Kyverno, KEDA, Gateway API, OPA, or similar technologies.Experience building and running multi-tenant SaaS platforms.Exposure to on-prem delivery models or regulated environments.Experience with performance tuning for large-scale data or compute workloads.Past success driving infrastructure transformation or decomposing legacy systems.Experience working with GPU infrastructure for training and inference.BenefitsThe talent and dedication of our employees are at the core of DataRobot’s journey. We strive to attract and retain the best talent by providing competitive pay and benefits with well-being at the core. Benefits may include Medical, Dental & Vision Insurance, Flexible Time Off, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more depending on location and local requirements.DataRobot Operating PrinciplesWow Our CustomersSet High StandardsBe Better Than YesterdayBe RigorousAssume Positive IntentHave the Tough ConversationsBe Better TogetherDebate, Decide, CommitDeliver ResultsOvercommunicateWe encourage ALL candidates to apply, especially women, people of color, LGBTQ+ identifying people, differently abled, and other groups. 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 on race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, veteran status, disability, or other legally protected characteristics. DataRobot is committed to providing accommodations to applicants with disabilities. All applicant data is handled per our Applicant Privacy Policy.DetailsSeniority level: Mid-Senior levelEmployment type: Full-timeJob function: Engineering and Information TechnologyIndustries: Software Development
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