Manager, Software Engineering, Cribl Lake
Cribl- Full Time
- Senior (5 to 8 years)
Candidates should possess 4+ years of engineering management experience, totaling 8 years or more of overall experience. They must have demonstrated experience developing SaaS/PaaS products in a production environment, with a proven ability to ship features rapidly within a dynamic product landscape. Furthermore, candidates are expected to have 2+ years of experience working with Kubernetes and 2+ years of experience with Go (Golang), alongside familiarity with AWS, Azure, and/or Google Cloud Platform. Strong engineering practices and software craftsmanship are also required.
As a Senior Manager, Engineering - Infrastructure at Starburst, the individual will collaborate with technical leads, management, and product managers, managing and motivating teams of software engineers focused on the infrastructure software for Starburst products, including Starburst Galaxy and Trino. They will drive technical direction, provide leadership in an agile environment, partner with other engineering leaders to define best practices, and coach and mentor engineers of all levels. Additionally, the role involves recruiting, interviewing, hiring, and onboarding new engineers, and contributing to the design and development of the infrastructure software.
Data analytics and SQL engine distribution
Starburst specializes in data analytics by providing a distribution and support for the Trino SQL engine, which is designed for efficient and scalable analytics on data lakes and various data sources. Their products, Starburst Galaxy and Starburst Enterprise, allow clients to access and analyze data quickly, whether in the cloud or on-premises. Starburst connects seamlessly with popular data visualization tools like Tableau, Power BI, and Looker, making it easier for users to integrate and access their data. What sets Starburst apart from competitors is its enhancement of the open-source Trino engine with additional connectors, security features, and dedicated enterprise support. The company's goal is to help organizations achieve faster data insights and better decision-making through improved analytics capabilities.