Senior Software Engineer, Capacity & Efficiency

Robinhood

Hybrid

Quick summary

Work type: Hybrid
Location: Bellevue, WA
Salary: $196,000–$230,000 / yr
Posted: 59 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k

This role $213k

$159k most similar roles pay here $238k

This role pays more than 64% of similar roles. Most pay $166,494–$225,450 — the shaded band above. At the midpoint, this role pays about $213k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About Robinhood

Robinhood is a financial technology company offering commission-free stock, ETF, options, and cryptocurrency trading through its mobile app, aimed at democratizing access to financial markets. Industry: Financial Technology & Investment App

Robinhood currently has 83 open roles on FindRole.

Listed pay typically runs $187,000–$220,000 across 82 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Senior Software Engineer, Capacity & Efficiency

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As a Senior Software Engineer on the Capacity & Efficiency Engineering team, you will design and build systems to manage AWS cloud costs, working closely with engineers, Data Science, and Infrastructure teams. Your daily tasks include developing tooling to detect cost anomalies and inefficiencies in Kubernetes environments, supporting forecasting models for future cost risks, and implementing technical solutions that reduce cloud spend. You should have experience building production systems on AWS, proficiency with Kubernetes, and a strong understanding of resource efficiency and capacity planning. This role requires clear communication skills and the ability to reason about complex cloud cost models while addressing critical business challenges related to scalability and long-term financial health.

Skills

AWS Kubernetes Python Terraform CI/CD PostgreSQL Prometheus Grafana Docker Ansible

What you'll do

Design and build systems to detect, track, and attribute AWS cloud costs.
Develop tooling to identify cost anomalies and over-provisioned resources in Kubernetes environments.
Partner with Data Science to support forecasting models for future cost risks.
Analyze infrastructure usage patterns to implement solutions that reduce cloud spend.
Collaborate with teams to validate cost reductions and track remediation outcomes.

What we're looking for

Experience building and operating production systems in a cloud-native environment, preferably on AWS.
Strong proficiency with Kubernetes and understanding of resource efficiency and capacity planning.
Background in infrastructure, platform, or data-heavy systems focusing on cost, scale, and reliability.
Ability to analyze cloud cost models and understand performance, reliability, and spend tradeoffs.
Clear communication skills for working effectively with partner teams and explaining technical recommendations.

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