Staff Software Engineer, Capacity and Efficiency Engineering

Robinhood Robinhood · Fintech · Bellevue, WA +2 · ENG Infrastructure

Staff Software Engineer on the Capacity & Efficiency Engineering team at Robinhood, focusing on building software to manage, govern, and reduce AWS cloud spend. The role involves leading capacity planning, designing cost attribution systems, architecting anomaly detection tooling, and driving AWS contract strategy. It requires strong data engineering, Kubernetes, and cloud billing knowledge, with an emphasis on building automation that modifies production infrastructure.

What you'd actually do

  1. Lead capacity planning and demand forecasting for a latency-sensitive, bursty production environment, ensuring the platform scales to absorb peak demand without sustained over-provisioning
  2. Design and build scalable cost attribution and chargeback systems that accurately identify true resource consumers across platform and product teams, enabling fair and transparent cost accountability
  3. Architect and own automated anomaly detection and governance tooling that detects cost regressions, routes findings to the correct owning teams, and tracks remediation outcomes end-to-end
  4. Partner closely with Data Science to develop and maintain forecasting models, year-over-year cost projections, and unit economics frameworks (e.g., cloud cost per engaged user) that surface future spend risk proactively
  5. Drive Robinhood's AWS contracts and pricing strategy by partnering with Amazon on reserved capacity, discount models, and on-demand optimization to ensure cost-effective infrastructure investment

Skills

Required

  • Strong data engineering skills
  • distributed data processing (e.g., Spark)
  • workflow orchestration (e.g., Airflow)
  • analytical data stores serving interactive workloads
  • Strong proficiency with Kubernetes
  • deep practical understanding of resource efficiency
  • capacity planning
  • relationship between infrastructure configuration and cloud spend
  • Experience building automation that safely modifies production infrastructure, with guardrails, progressive rollout, and rollback built in
  • Ability to reason deeply about cloud cost models
  • Ability to communicate fluently with both engineering and finance audiences

Nice to have

  • cloud billing data
  • commercial constructs (usage and billing reports, Reserved Instance and Savings Plan amortization, enterprise agreements)

What the JD emphasized

  • Lead capacity planning
  • Design and build scalable cost attribution
  • Architect and own automated anomaly detection
  • Partner closely with Data Science
  • Drive Robinhood's AWS contracts and pricing strategy
  • Shape how the company measures and governs fast-growing AI/ML infrastructure spend
  • apply AI-driven automation to cost operations