We are looking for a lead infrastructure engineer. We want to work with engineers who are self-motivated and eager to push themselves to learn more and grow, just as we are.

Do these qualities describe you?

  1. Curious: Your drive to be an expert does not prevent you from being interested in other aspects of the tech stack, the space (investing) or our market (consumer technology). You understand that learning outside your core discipline can translate into better results in your area of expertise.
  2. Values-oriented: You measure success by your ability to create value for our end users. You pride yourself in high quality work and strive to make good results repeatable.
  3. Results-driven: You’re comfortable with moving fast and adapting to fluid roadmaps and priorities. You aren’t afraid of failure and look for creative solutions to overcome challenges.
  4. Humble and collaborative: You have come to realize that the more knowledge you gain, the less you actually know, and that pushes you to continually seek knowledge from others. You are also eager to share your knowledge and insights with others.
If this sounds like you, here is what you can expect to accomplish at Goodwater:
  • Set up and maintain large distributed storage systems like Cassandra and ElasticSearch in production.
  • Build distributed systems that perform computations on massive amounts of data in real time.
  • Design and execute Goodwater’s micro-services strategy.
  • Set up cutting edge development environments that increase the speed with which Goodwater engineering builds products.
  • Create tools to orchestrate rapid continuous deployment code to production. At Goodwater, we are fans of docker and Kubernetes.
Here are the qualifications we are looking for:
  • Proficiency in a scripting language such as Python or bash.
  • Proficiency in Java, Scala or C++.
  • Proficiency in one or more distributed SQL or NOSQL based storage systems.
  • Proficiency in one or more continuous delivery frameworks such as Chef, Capistrano, Ansible and Kubernetes.
  • Familiarity with big data processing frameworks such as Hadoop, Apache Beam and Apache Spark.
  • Experience building micro-services with docker containers.