Staff Software Engineer, DataRobot

• 7+ 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
• 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

Desirable

• 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
• 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
• We’re laying the groundwork to enable unified deployment experiences, zero-downtime upgrades, and intelligent platform automation—while lowering Total Cost of Ownership (TCO) and boosting developer velocity
• That’s where you come in
• As a Staff Software Engineer, 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 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
• Architect 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