Job description

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 responsible for technical leadership and vision. 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. What You’ll Do: 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. What We’re Looking For: 7-10 years of engineering experience, with at least 5 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 Have: Familiarity 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. Why Join the Fleet Management team?: This is your chance to shape the platform that powers every DataRobot product. You’ll be surrounded by passionate engineers and leaders who care about doing the right thing—for the business, for the customer, and for each other. You’ll grow fast, challenge the status quo, and leave a legacy that enables hundreds of engineers to ship faster, safer, and smarter. 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 All DataRobot hires are required to complete a background check prior to starting employment, which includes identity verification, criminal history check, employment verification and education verification. Additionally, all DataRobot employees must be available to attend in-person company trainings and meetings. 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. All applicant data submitted is handled in accordance with our Applicant Privacy Policy .

Requirements

Must-haves

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.
7-10 years of engineering experience, with at least 5 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-haves

Familiarity 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.
Why Join the Fleet Management team?:

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Keywords to mirror

aikubernetesci/cdpythongoawsgcpazureapi

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

Parental Leave