Senior Backend Engineer, DataRobot

• Due to the multiple levels of Backend Engineers, this is a wide range from 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
• Ability and willingness to learn about new technologies
• Personal drive to get things finished
• 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

Desirable

• DataRobot accelerates the process of building predictive models to get the most out of valuable data
• We work hard to create tools that nascent data scientists can use effectively while also exposing the rich detail and control that data science veterans rely on
• In order to keep up with the demand for new features in DataRobot, we are looking to grow our Backend engineering team from mid to senior levels
• The primary responsibilities of this team include developing and supporting new data science tools, designing and supporting our APIs, and instrumenting DataRobot to integrate with enterprise IT infrastructure
• Our team leverages modern technologies to achieve our goals and innovate on our solutions
• Develop, test, and support features of DataRobot
• Create and maintain automated unit tests and functional tests
• Design infrastructure for new features with the input of peers
• Manage individual projects and milestones with abundant communication of progress
• Seek, give, and receive critical feedback in a constructive manner, including but not limited to code reviews
• Engage in engineering on-call escalated support of services owned by the team
• Competencies should be at a level where a manager can have high confidence in an engineer’s ability to deliver complex solutions on time on an agreed-upon roadmap and manage technical risks
• Should be capable of working with product management to get requirements and drive technical feedback on complexity/approaches