Staff Software Engineer

🕒 May 14

🍂 Massachusetts, Washington – Remote

🍂 Massachusetts – Remote ☕ Washington – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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DataRobot

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

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.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

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