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Join us in building the future of finance. Our mission is to democratize finance for all. 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. You will work across the full infrastructure stack, from AWS cloud platform, networking to application-level performance to bring efficiency up on the large micro service architecture powering Robinhood. You will help with building the telemetry, cost attribution, and optimization frameworks that ensure every dollar of our infrastructure investment delivers maximum value. This is a high-impact, cross-functional role at the intersection of systems engineering, financial optimization, and Distributed systems.
Job Responsibility:
Build and evolve telemetry and monitoring systems to provide deep visibility into infrastructure performance and utilization across our fleet
Identify and resolve performance bottlenecks and capacity hotspots through deep analysis of distributed systems at scale
Develop and champion engineering practices around efficiency, driving a culture of performance awareness and cost-conscious design across Robinhood
Collaborate with research and product teams to deeply understand their infrastructure needs, and design solutions that balance performance with cost efficiency
Drive architectural improvements and code-level optimizations across multiple services and platforms to deliver measurable utilization and performance gains.
Requirements:
Have 6+ years of relevant industry experience
1+ year leading large scale, complex projects or teams as an engineer or tech lead
Deep expertise in distributed systems at scale, with a strong focus on infrastructure reliability, scalability, and continuous improvement
Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)
Hands-on experience with cloud infrastructure, including Kubernetes, Infrastructure as Code, and major cloud providers such as AWS or GCP
Experience optimizing end-to-end performance of distributed systems, including workload right-sizing and resource utilization tuning
You possess a deep curiosity for how things work under the hood and have a proven ability to work independently to solve opaque performance issues
Experience designing or working with performance and utilization monitoring tools in large-scale, distributed environments
Strong problem-solving skills with the ability to work independently and navigate ambiguity
Excellent communication and collaboration skills—you will work closely with internal and external stakeholders to build consensus and drive projects forward.
What we offer:
Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces.