Staff Software Engineer

🕒 il y a 24 jours

🍂 Massachusetts, Washington – Distant

🍂 Massachusetts – Remote ☕ Washington – Remote

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

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DataRobot

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2012

🤖 Intelligence artificielle

🏢 Entreprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

DataRobot est un fournisseur leader d'applications et de plateformes d'IA conçues pour s'intégrer aux processus métier principaux. Leurs solutions permettent aux équipes de développer, déployer et gérer l'IA générative et prédictive à grande échelle. Les applications d'IA de DataRobot sont adaptées pour stimuler l'innovation et avoir un impact dans divers secteurs tels que l'énergie, les services financiers, la santé, la fabrication et le secteur public. L'entreprise se concentre sur la maximisation de l'impact commercial tout en minimisant les risques grâce à des fonctionnalités de gouvernance intégrées et des outils collaboratifs pour les équipes d'IA.

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.

🎯 Exigences

• 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.

🏖️ Avantages

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