Staff Software Engineer

🕒 vor 27 Tagen

🍂 Massachusetts, Washington – Remote

info

⏰ Vollzeit

🔴 Experte

🧑‍💻 Full-Stack-Entwickler

🦅 H1B-Visum-Sponsor

info

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of DataRobot

DataRobot

501 - 1000 Mitarbeiter

Gegründet 2012

🤖 Künstliche Intelligenz

🏢 Unternehmen

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

DataRobot ist ein branchenführender Anbieter von KI-Anwendungen und Plattformen, die dafür entwickelt wurden, sich in zentrale Geschäftsprozesse zu integrieren. Ihre Lösungen ermöglichen es Teams, generative und prädiktive KI in großem Umfang zu entwickeln, bereitzustellen und zu verwalten. Die KI-Anwendungen von DataRobot sind darauf zugeschnitten, Innovation und Einfluss in verschiedenen Sektoren voranzutreiben, darunter Energie, Finanzdienstleistungen, Gesundheitswesen, Fertigung und der öffentliche Sektor. Das Unternehmen konzentriert sich darauf, den geschäftlichen Nutzen zu maximieren und gleichzeitig Risiken mit integrierten Governance-Funktionen und kollaborativen Tools für KI-Teams zu minimieren.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

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

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