Staff Software Engineer

DataRobot•Boston, ON

13d

About The Position

DataRobot is hiring a Staff Software Engineer to provide technical leadership and vision for its Fleet infrastructure. The role combines hands-on engineering with architecture, mentoring, and cross-team technical influence. The engineer will work across control plane systems, shape roadmaps, and strengthen the practices used to build, test, and operate infrastructure software. The role includes participation in an on-call rotation, with shared ownership of a resilient, observable platform designed to require minimal intervention. The position focuses on Kubernetes-based infrastructure for multi-cloud and hybrid environments, including control plane services, tenancy models, deployment pipelines, and observability. The engineer will guide modernization efforts, collaborate with SRE, Platform, and Application teams, and help engineering leadership scale Fleet’s impact across the company.

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 and make pragmatic tradeoffs.
Deep expertise in Kubernetes internals and operations, including networking, scheduling, scaling, and controller patterns.
Experience operating across multiple cloud providers, such as AWS, GCP, or Azure, and/or hybrid environments.
Strong experience with Helm, container orchestration patterns, and CI/CD automation.
Comfort with infrastructure as code tools such as Terraform or Pulumi and with GitOps workflows.
Ability to influence without authority and align diverse stakeholders around technical decisions.
Growth-oriented mindset, with motivation to teach, learn, and improve systems and people.

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-premises delivery models or regulated environments.
Experience performance-tuning large-scale data or compute workloads.
Past success driving infrastructure transformation or decomposing legacy systems.
Experience working with GPU infrastructure for training and inference.

Responsibilities

Architect and implement scalable, secure Kubernetes-based infrastructure for multi-cloud and hybrid environments.
Lead technical direction for core Fleet initiatives, including control plane services, tenancy models, deployment pipelines, and observability layers.
Mentor engineers across the team and foster an engineering culture of ownership, curiosity, and excellence.
Drive modernization efforts involving GitOps, Policy-as-Code, Cilium networking, autoscaling, and improved resource efficiency.
Collaborate with SRE, Platform, and Application teams to align infrastructure capabilities with product demands.
Champion best practices in CI/CD, reliability, container lifecycle management, and developer experience.
Advise engineering leadership and help shape how Fleet scales its impact across the company.
Participate in an on-call rotation.