Senior Software Engineer, Capacity & Efficiency

Robinhood

Hybrid

Quick summary

Work type: Hybrid
Location: Bellevue, WA
Salary: $196,000–$230,000 / yr
Posted: 102 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $198k

This role $213k

$163k most similar roles pay here $237k

This role pays more than 63% of similar roles. Most pay $170,437–$225,000 — the shaded band above. At the midpoint, this role pays about $213k versus about $198k 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 79 open roles on FindRole.

Listed pay typically runs $187,000–$220,000 across 79 roles with salary data.

Most-posted roles

View all roles at Robinhood

At a glance

TL;DR · Senior Software Engineer, Capacity & Efficiency

Apply Now Log in to save

As a Senior Software Engineer on the Capacity & Efficiency Engineering team, you will design and build systems to manage AWS cloud spend by detecting cost anomalies, tracking over-provisioned resources, and attributing costs accurately. You’ll collaborate with Data Science and Infrastructure teams to develop tooling that supports forecasting models and unit economics while analyzing infrastructure usage patterns to identify inefficiencies. The role involves working in a cloud-native environment on Kubernetes, requiring strong proficiency in these technologies along with experience in cost optimization and reliability engineering. This high-visibility position directly impacts company-wide cost efficiency and scalability challenges within the financial services sector.

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 partner 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.
Track record working on infrastructure, platform, or data-heavy systems where cost, scale, and reliability are critical.
Ability to analyze cloud cost models and understand trade-offs between performance, reliability, and expenditure.
Clear communication skills for explaining technical findings and recommendations to partner teams.

Save