Staff Software Engineer

🕒 Maio 14

🍂 Massachusetts, Washington – Remoto

🍂 Massachusetts – Remote ☕ Washington – Remote

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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DataRobot

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2012

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

A DataRobot é uma provedora líder em aplicações e plataformas de IA projetadas para se integrar aos processos fundamentais dos negócios. Suas soluções permitem que as equipes desenvolvam, entreguem e administrem IA generativa e preditiva em grande escala. As aplicações de IA da DataRobot são feitas sob medida para impulsionar a inovação e o impacto em diversos setores, incluindo energia, serviços financeiros, saúde, manufatura e setor público. A empresa foca em maximizar o impacto nos negócios enquanto minimiza riscos com recursos de governança integrados e ferramentas colaborativas para equipes de IA.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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