Senior Software Engineer, Capacity & Efficiency

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Capacity & Efficiency Engineering team focuses on building software to manage, govern, and reduce Robinhood’s AWS cloud spend. The team operates at the intersection of cloud infrastructure, data engineering, and FinOps, owning systems that attribute cloud costs to real consumers, detect spend anomalies, and surface actionable insights. This is a high-visibility team whose work directly impacts company-level cost efficiency and long-term scalability!

As a Senior Software Engineer on the Capacity & Efficiency Engineering team, you will design and build systems that make cloud costs transparent, predictable, and controllable. You’ll work closely with engineers, Data Science, and Infrastructure partners to develop tooling that detects inefficiencies, tracks over-provisioning, and enables teams to take concrete action to reduce waste across AWS and Kubernetes environments.

This role is based in our Bellevue, WA office, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

• →Build and maintain software systems that detect, track, and attribute AWS cloud costs to the correct teams, services, and workloads
• →Develop tooling to identify cost anomalies, regressions, and over-provisioned resources across Kubernetes and managed services
• →Partner with Data Science to support forecasting models, unit economics, and projections that surface future cost risks
• →Analyze infrastructure usage patterns to identify inefficiencies and implement technical solutions that reduce cloud spend
• →Collaborate with partner teams to land efficiency improvements, validate cost reductions, and track remediation outcomes

• Experience building and operating production systems in a cloud-native environment, ideally on AWS
• Strong proficiency with Kubernetes and a practical understanding of resource efficiency and capacity planning
• Experience working on infrastructure, platform, or data-heavy systems where cost, scale, and reliability matter
• Ability to reason about cloud cost models, including tradeoffs between performance, reliability, and spend
• Clear communication skills and comfort working with partner teams to explain findings and technical recommendations