DevOps Engineer II

🕒 April 23

🗽 New York, Massachusetts – Remote

🗽 New York – Remote 🍂 Massachusetts – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

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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

• Rightsize workloads for efficient resource utilization in Kubernetes and cloud service • Contribute to the development, deployment and operations for new microservices within the platform • Review technical specifications to provide guidance and help development teams drive operational excellence • Work hand-in-hand with software developers to facilitate the development and adoption of "Paved Road" solutions and DevSecOps processes • Support large-scale services across multiple environments • Assist in resolution efforts for problems ranging from infrastructure network layers to application scaling • This role includes participation in an on-call rotation - we believe in shared ownership of our platform and aim to build systems that are resilient, observable, and require minimal intervention.

🎯 Requirements

• 4+ years of experience in DevOps, systems engineering, or a related role. • Strong experience with Kubernetes • Helm • Python • Terraform • Linux • Git and Github • Strong experience working with at least one major cloud platform (AWS, Azure, or GCP). • Fundamental understanding of Kubernetes and Helm. • Experience in building and running software systems on Kubernetes clusters in production • Hands-on experience with infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles • An understanding of design for scalability, performance, efficiency and reliability. • Self-motivated and proactive, able to take ownership and deliver results. • Ability and willingness to learn about new technologies. • Effective communication with technical and non-technical stakeholders.

🏖️ Benefits

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