Datarobot - San Francisco, CA
posted 3 months ago
DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to generative and predictive AI that combines an open platform, deep expertise, and broad use-case experience to improve how organizations run, grow, and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization's existing investments in data, applications, and business processes, and can be deployed on-prem or on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI. The Director of Site Reliability Engineering (SRE) will lead our SRE team, ensuring the reliability, scalability, and performance of our platform. This role involves managing a team, collaborating with various stakeholders, and driving operational excellence to support the deployment of a large-scale service. The successful candidate will be responsible for managing and developing a team of Site Reliability Engineers, including hiring, performance assessments, and career development. They will work with cross-functional teams to identify and prioritize features, balancing tactical needs with strategic goals, and collaborate with engineers to develop and enhance tools for large-scale services technologies, ensuring high standards in system design and code quality. In this role, the Director will translate business needs into engineering requirements, manage projects and dependencies, and lead sprint activities. They will improve operations by analyzing root causes, defects, and technical debt, implementing solutions to reduce operational load, and support large-scale services while managing high-pressure situations. The Director will also participate in on-call rotations, troubleshoot issues from infrastructure to application scaling, diagnose and fix issues by editing code, modifying infrastructure configurations, and creating reusable tooling. Additionally, they will develop automation tools and optimize services through version-controlled infrastructure-as-code, conducting network and performance analysis.