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.

About the team + role

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.

What you’ll do

• 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

What you bring

• 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

What we offer

• Challenging, high-impact work to grow your career.

• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.

• Best-in-class benefits to fuel your work, including 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.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.

The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones.

For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range:

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC): $196,000-$230,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL): $172,000-$202,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL): $153,000-$179,000 USD

XML job scraping automation by YubHub

You will build and improve the systems, standards, and workflows that help teams understand the real cost of the services they run. That includes developing resource tagging and labeling approaches, improving billing data quality, and creating tooling that supports better decisions across AWS and GCP.

In this role, you will work through technical and organizational ambiguity, connect infrastructure data with business context, and help teams act on cost signals with confidence.

This is a strong fit for someone who enjoys systems thinking, cross-functional collaboration, and building practical solutions in GitLab's all-remote, asynchronous, and values-driven environment.

Some examples of our projects include:

• Building cloud billing data pipelines that normalize multi-cloud cost data using the FinOps Open Cost and Usage Specification (FOCUS)
• Improving cloud resource tagging and labeling standards so teams can understand spend by service, environment, and ownership
• Developing cost anomaly detection, forecasting, and alerting workflows that give teams timely insight into infrastructure usage
• Extending observability systems so cost signals can be reviewed alongside reliability and operational data

Key responsibilities include:

• Design and maintain cloud resource tagging and labeling strategies across GCP and AWS to support accurate cost attribution
• Develop tooling and pipelines to ingest, normalize, and report on cloud billing data using the FOCUS specification
• Automate cost anomaly detection, forecasting, and alerting so engineering teams can respond quickly to changes in infrastructure spend
• Contribute to GitLab's observability and monitoring stacks, including Prometheus, LGTM (Loki, Grafana, Tempo, and Mimir), and ELK, with a focus on surfacing cost efficiency signals
• Partner with Finance and Engineering leadership to support cloud cost forecasting for planning and budget discussions
• Act as a subject matter expert for cloud cost attribution, tagging strategy, and FOCUS adoption across GitLab Infrastructure
• Collaborate with Finance and Compliance teams on audits, certifications, and financial reporting needs related to cloud infrastructure usage
• Contribute to infrastructure-as-code efforts, including Terraform and Ansible, so cost controls and tagging requirements are built into provisioning workflows from the start

Requirements include:

• Hands-on experience with cloud cost management in GCP and/or AWS, including billing data, pricing models, and optimization approaches
• Familiarity with, or interest in adopting, the FinOps FOCUS specification for multi-cloud cost analysis
• Experience designing or implementing cloud resource tagging and labeling strategies and improving adoption across teams
• Comfort working across technical and business functions, including Engineering, Finance, and other stakeholders
• Experience with infrastructure as code, including Terraform and Ansible
• Familiarity with observability tooling, including Grafana, and an understanding of how reliability and cost signals can be connected
• Ability to explain technical cost data clearly to non-engineering audiences and support informed decision-making
• A self-directed approach to work, with comfort operating in a fully remote and asynchronous environment

XML job scraping automation by YubHub