Engineering Manager, Kubernetes Platform

Starburst Data | United States

Date listed

1 week ago



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.


  • 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


  • 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

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