Cloud Cost Optimization Engineer

1 month ago

Toronto, Ontario, Canada Robinhood Full time
About the Role

We are seeking a highly skilled Software Developer to join our Capacity Engineering and Analysis team, where you will play a key role in optimizing our cloud costs and building critical systems to identify and reduce costs.

As a Software Developer on our team, you will design and optimize large-scale systems, set up and drive technical directions of projects, and mentor junior engineers. You will also partner cross-functionally with engineering teams to ensure they are set up for success in regards to their AWS costs.

Responsibilities
  • Design and optimize large-scale systems within the team, making the right tradeoffs for risk and long-term maintainability
  • Set up and drive technical directions of projects while mentoring and up-leveling junior engineers on the team
  • Support core backend systems for Capacity Engineering and Analysis and other teams within Infrastructure Engineering
  • Partner cross-functionally with almost every engineering team at Robinhood to ensure teams are set up for success in regards to their AWS costs
Requirements
  • You have experience in a similar organization that deals with significant scale
  • You have successfully led initiatives that have reduced cloud costs
  • You have exposure with public clouds, ideally Amazon Web Services (AWS)
  • Hands-on experience with cloud cost management (aka FinOps, cloud financial management, cloud economics)
About Us

Robinhood is a leading fintech company that's democratizing finance for all. We're committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please let us know.

We're looking for growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you're ready to give 100% in helping us achieve our mission, we'd love to have you apply.

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