24 hours ago
Responsibilities
- Architect and implement scalable, secure Kubernetes-based infrastructure for multi-cloud and hybrid environments.
- Lead technical direction for Fleet control plane services, tenancy models, deployment pipelines, observability layers, and related initiatives.
- Mentor engineers and foster a culture of ownership, curiosity, and engineering excellence.
- Drive modernization through GitOps, Policy-as-Code with Kyverno, Cilium networking, autoscaling, and improved resource efficiency.
- Collaborate with SRE, Platform, and Application teams to align infrastructure capabilities with product needs.
- Champion practices for CI/CD, reliability, container lifecycle management, and developer experience.
- Participate in an on-call rotation and help build resilient, observable systems requiring minimal intervention.
- Influence engineering leadership and help shape the future scale of Fleet infrastructure.
Requirements
- 7-10+ years of engineering experience, including at least 5+ years in infrastructure, platform, or backend systems roles.
- Strong proficiency in a modern programming language such as Python or Go.
- Experience building production-quality, reliable, and observable systems used across engineering organizations.
- Ability to design and build systems from scratch while making pragmatic tradeoffs.
- Deep expertise in Kubernetes internals and operations, including networking, scheduling, scaling, and controller patterns.
- Experience operating across AWS, GCP, Azure, and/or hybrid environments.
- Strong experience with Helm, container orchestration patterns, and CI/CD automation.
- Comfort working with Terraform, Pulumi, and GitOps workflows.
- Ability to influence without authority and align diverse stakeholders around technical decisions.
- Preferred experience with Cilium, Kyverno, KEDA, Gateway API, OPA, multi-tenant SaaS platforms, on-premises delivery models, regulated environments, large-scale data or compute workloads, infrastructure transformation, legacy-system decomposition, and GPU infrastructure for training and inference.
Benefits
- Medical, dental, and vision insurance.
- Flexible Time Off Program and paid holidays.
- Paid parental leave.
- Global Employee Assistance Program.
- The role includes participation in an on-call rotation.
Tech Stack
Categories
About DataRobot
DataRobot builds an end-to-end enterprise AI platform for data science and engineering teams to develop, deploy, and govern predictive and generative AI. It offers SaaS and self-managed deployments with MLOps, governance, and professional services to integrate AI into core workflows. Founded in 2012 and headquartered in Boston, the privately held company raised a Series E+ round in 2021 and serves enterprises across regulated industries worldwide.