DevOps Engineer II

March 5

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DataRobot

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DataRobot is an industry-leading provider of AI applications and platforms designed to integrate into core business processes. Their solutions enable teams to develop, deliver, and govern generative and predictive AI at scale. DataRobot’s AI applications are tailored to drive innovation and impact across various sectors, including energy, financial services, healthcare, manufacturing, and the public sector. The company focuses on maximizing business impact while minimizing risks with built-in governance features and collaborative tools for AI teams.

Data Science • Machine Learning • Artificial Intelligence • Automated Machine Learning • Augmented Analytics

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

💳 Fintech

📋 Description

• DataRobot delivers AI that maximizes impact and minimizes business risk. • We are searching for a DevOps Engineer II who enjoys working with engineers across disciplines and teams. • This role requires expertise in Kubernetes and cloud computing, as well as strong automation skills in Python, Golang, Helm and Terraform. • 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 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. • Participate in on-call rotation.

🎯 Requirements

• 4+ years of experience in DevOps, systems engineering, or a related role. • Strong experience with Kubernetes, Helm, Python, Golang, Terraform, Linux, Git, and Github. • 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. • Nice To Have: CKAD (Certified Kubernetes Application Developer) certification.

🏖️ Benefits

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