Engineering Manager, Kubernetes Platform at Starburst Data

Posted on: 04/09/2021

Location: United States (REMOTE)

Original Source

Tags: azure spark golang kubernetes aws hadoop

Starburst is looking for a **Engineering Manager** to join our team. This group features very strong software engineering talent, with years of core database engine and distributed systems development experience. As a manager you’ll be leading the design and development of the infrastructure software for Starburst products, including our emerging **Starburst Galaxy** product and bringing Trino into a next generation SaaS offering. Responsibilities: * Collaborate with technical leads, management and product managers across Starburst Data. * Manage and motivate one or more teams of software engineers focused on various aspects of the Starburst Galaxy product, focused mainly on the kubernetes platform and our complex production ecosystem. * Drive technical direction and provide leadership and transparency in an agile environment * Partner with other engineering leaders to find the best solution to a wide array of problems, define best practices, and build cutting-edge software * Coach and mentor engineers of all levels, from junior engineers to technical leads * Recruit, interview, hire and onboard new engineers Requirements: * 2+ years of engineering management experience with a total of 8 years or more experience * Experience developing SaaS/PaaS products in a production environment * Demonstrable experience in shipping features rapidly, in a rapidly changing product. * 2+ years experience with Kubernetes * 2+ years experience with Go (Golang) * Experience with AWS, Azure, and/or Google Cloud Platform * A passion for software engineering and interest in all phases of the agile software development lifecycle * Demonstrated experience with good engineering practices and software craftsmanship * Excellent written and verbal communication skills Bonus Points: * Experience with Hadoop, Spark * Experience with HashiCorp tools * Experience working on SaaS products or with Service Oriented Architectures * Experience with BigData processing tools / analytical engines * Knowledge of the JVM ecosystem (running, debugging) * Knowledge of distributed systems design, implementation and testing