
501 - 1000 employees
Founded 2012
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
Consulting • Healthcare • Manufacturing
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.
🔥 1 minute ago
🌐 United States, Ukraine, +1 more countries – Remote
🏄 California, Massachusetts, +1 more states – Remote
⏰ Full Time
🔴 Lead
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 11%
Where this job comes from
Posted on DataRobot's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

501 - 1000 employees
Founded 2012
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
Consulting • Healthcare • Manufacturing
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.
• Provide technical leadership and vision as a hands-on technical contributor • Shape architecture and mentor engineers • Work across control plane systems and influence cross-team roadmaps • Bring pragmatic engineering practices to infrastructure software development, testing, and operations • Participate in an on-call rotation • Architect and implement scalable, secure Kubernetes-based infrastructure for multi-cloud and hybrid environments • Lead technical direction for Fleet initiatives, including control plane services, tenancy models, deployment pipelines, and observability layers • Mentor engineers and foster a culture of ownership, curiosity, and excellence • Drive modernization using GitOps, Policy-as-Code, Cilium networking, autoscaling, and resource-efficiency patterns • Collaborate with SRE, Platform, and Application teams • Champion best practices in CI/CD, reliability, container lifecycle management, and developer experience • Advise engineering leadership and help shape Fleet’s company-wide scale and impact
• 7-10+ years of engineering experience, with at least 5+ in infrastructure, platform, or backend systems roles • Strong proficiency in modern programming languages such as Python or Go • Experience building production-quality, reliable, and observable systems used across engineering organizations • Proven ability to design and build systems from scratch, making pragmatic tradeoffs • Deep expertise in Kubernetes internals and operations, including networking, scheduling, scaling, and controller patterns • 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
• Medical, Dental & Vision Insurance • Flexible Time Off Program • Paid Holidays • Paid Parental Leave • Global Employee Assistance Program (EAP) • Competitive pay and benefits
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