Staff Software Engineer - Fleet

July 2

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DataRobot

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Artificial Intelligence • Enterprise • SaaS

DataRobot is a company that provides an AI platform and applications designed to integrate into core business processes. The company offers Enterprise AI Suite, AI Apps, and AI Platform services, which include Generative AI, Predictive AI, AI Governance, and AI Observability. DataRobot aims to help businesses develop, deliver, and govern AI solutions at scale, supporting industries such as energy, financial services, healthcare, manufacturing, and the public sector. With a focus on maximizing business impact and minimizing risk, DataRobot provides solutions that expedite deployment and secure numerous predictions each day.

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• 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.

🎯 Requirements

• 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. • 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.

🏖️ Benefits

• Medical, Dental & Vision Insurance • Flexible Time Off Program • Paid Holidays • Paid Parental Leave • Global Employee Assistance Program (EAP) and more!