Senior Backend Engineer

February 28

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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 • Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale • We work hard to create tools that nascent data scientists can use effectively • Our team leverages modern technologies to achieve our goals and innovate on our solutions • Engage in engineering on-call escalated support of services owned by the team

🎯 Requirements

• 3 years up to 10+ years of proven experience writing high-quality code in a collaborative environment preferably using Python and/or Go • Strong Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis • An understanding of design for scalability, performance, and reliability • Deep experience with automated testing and test-driven development • Demonstrable knowledge of software architecture for large systems • Real-world experience decoupling monolithic software into smaller reusable components • Self-motivated and proactive, able to take ownership and deliver results • Effective communication behavior • 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 • Nice to have: Experience with AWS, Azure, and/or Google Cloud platforms • CKAD (Certified Kubernetes Application Developer) certification • Publicly reviewable contributions to interesting development projects • Experience supporting user-facing code and APIs • Data Science experience • Identity and Access Management experience • CI/CD pipeline experience

🏖️ Benefits

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