Senior Staff Software Engineer, Developer Productivity Async

Gusto, Inc.Los Angeles, CA
2h$200,000 - $270,000Hybrid

About The Position

As an Senior Staff Software Engineer on the Developer Productivity - Async team, you will work on improving developer productivity by enhancing the tools and systems used by product engineers. You will focus on asynchronous processing, ensuring that our applications are efficient, reliable, and scalable. Your work will involve maintaining and improving the infrastructure that supports background jobs and asynchronous communication between our applications using technologies such as Sidekiq and Karafka.

Requirements

  • 12+ years of professional software development experience with a track record of driving impact at scale.
  • Systems thinker with a strong ability to communicate effectively.
  • Comfortable with architectural thinking and delivering solutions through code.
  • Experience with Rails and Ruby, including developer tooling for large engineering teams.
  • Ability to work with colleagues as both customers and partners.
  • Active working knowledge and architecture experience with Ruby.
  • Experience with asynchronous processing using Sidekiq and/or Kafka.
  • Proven track record of improving developer productivity through tooling and infrastructure enhancements with the assistance of AI.

Responsibilities

  • Identify and solve inefficiencies in the tooling, APIs, and feedback mechanisms available to product engineers to improve developer productivity.
  • Design, pitch, plan, measure, and implement solutions iteratively, utilizing AI tools to perform large scale code migrations.
  • Collaborate closely with product engineering colleagues to anticipate and address upcoming changes.
  • Develop and maintain services, abstractions, and architecture to support product engineering.
  • Advance the use of Kafka and Sidekiq for asynchronous processing and communication for the growing number of applications at Gusto.
  • Harden the async infrastructure to be resilient in the face of heavy loads across a wide variety of use cases.
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