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Robinhood is seeking a Staff Software Engineer to lead the Capacity and Efficiency Engineering team's technical direction. This role focuses on building systems that manage, govern, and reduce Robinhood's AWS cloud spend—operating at the intersection of cloud infrastructure, data engineering, and FinOps.
You will serve as the technical lead for the Capacity arm, owning the most complex systems and raising engineering standards across the team. Key responsibilities include designing and building foundational platforms that attribute AWS costs to real consumers, detecting spend anomalies before they become regressions, and surfacing forecasting and unit economics insights that drive proactive cost governance.
Specific deliverables include:
- Leading technical direction for the Capacity arm, owning architecture, roadmap, and engineering standards for systems governing AWS cloud spend
- Designing scalable cost attribution and chargeback systems that accurately identify resource consumers across platform and product teams
- Architecting automated anomaly detection and governance tooling that detects cost regressions and tracks remediation end-to-end
- Partnering with Data Science to develop forecasting models, year-over-year projections, and unit economics frameworks
- Driving AWS contract and pricing strategy through partnerships with Amazon on reserved capacity and discount models
You'll partner deeply with Data Science, Infrastructure, TPMs, and product engineering teams. This high-visibility team has already driven over $12M in annualized savings and operates with CEO-level visibility.
Required experience includes designing and building production-grade data or infrastructure systems at scale in cloud-native AWS environments. Strong proficiency with Kubernetes and deep understanding of resource efficiency, capacity planning, and infrastructure cost relationships are essential. Experience in FinOps, cost attribution, anomaly detection, or cloud governance—or adjacent experience in data engineering, platform engineering, or infrastructure observability—is required. You should be able to reason deeply about cloud cost models and tradeoffs, and demonstrate technical leadership driving complex cross-functional projects.
The role is based in Bellevue, WA with in-person attendance expected at least 3 days per week.
