Staff Software Engineer (Fleet)

DataRobot R&D is a hard-working, fast-moving, fun-loving team of developers who put products before pride. 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. 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.

Key Responsibilities:

• 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.

Knowledge,

Skills, and Abilities:

• 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.

Location:

Remote Ukraine | Remote Ireland | Remote Canada - ON | Remote Poland

Engineering:

Our Engineering department consists of distributed cross-functional teams that own various parts of DataRobot’s machine-learning platform and actively contribute to the development of new capabilities. As a core fundamental department, upon which the company was built, we play a vital role in bringing technical expertise to the organization. Our individuals represent some of the industry's brightest and most innovative minds in a variety of domains like Data Science, Front-end and Back-end engineering, Global Platforms, and many others. We work on multiple aspects such as software development, system architecture, database management, and technology infrastructure to enable the next generation of AI.

Our Core Values:

Together, we cultivate an exceptional people and team experience where we all belong, feel inspired to engage and are empowered to grow.