Staff Software Engineer, Capacity and Efficiency Engineering

United States Digital Space LLC; Bellevue (WA); On-site; USD 230,000 - 270,000; Full time

Benefits offered by this job

Equity ownership

401(k) matching

Health insurance

Paid time off

Catered meals

Job summary

United States Digital Space LLC in Bellevue, WA is seeking a Staff Software Engineer to lead the Capacity arm, design cost attribution platforms, and build automation for production infrastructure at scale.

You will partner with Data Science, Infrastructure, Finance, and product engineering to translate cloud spend insights into accountable business outcomes, forecast demand, and drive cost‑efficient architecture with guardrails and rollback capabilities.

Qualifications

• Experience in data engineering and large-scale data processing.
• Familiarity with cloud spend analytics and cost optimization.
• Ability to communicate complex cost insights to non-technical stakeholders.

Responsibilities

• Lead capacity planning and demand forecasting for a latency-sensitive production environment.
• Design scalable cost attribution and chargeback systems across teams.
• Architect automated anomaly detection and governance tooling for cost control.
• Collaborate with Data Science to develop forecasting models and unit economics frameworks.
• Drive AWS contracts and pricing strategy with partners to optimize infrastructure spend.
• Shape measurement and governance of AI/ML infra spend and apply automation to cost ops.

Skills

Data engineering

Spark

Airflow

Kubernetes

Cloud cost awareness

Communication

Finance liaison

Tools

Kubernetes

Billing data analysis

Job description

Join us in building the future of finance.

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. the company 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 builds the software that manages, governs, and reduces the company's AWS cloud spend, operating at the intersection of cloud infrastructure, data engineering, and FinOps. The team owns the full lifecycle of cloud cost: the data platforms that make spend transparent and attributable, the anomaly detection and forecasting systems that make it predictable, the automation that continuously rightsizes infrastructure at fleet scale, and the capacity planning and commitment strategy that keep a bursty, latency-sensitive trading platform both reliable and cost-effective. Our work carries CEO-level visibility and has already driven millions of dollars in annualized savings. We partner closely with Data Science, Infrastructure, Finance, and product engineering teams across the company to turn cost insight into real financial outcomes.

As a Staff Software Engineer on the team, you will serve as the technical lead for the Capacity arm: setting engineering direction, owning the most complex systems, and raising the bar for how the team builds and operates. You will design the platforms that attribute cloud costs to their real consumers, catch spend regressions before they compound, and forecast future demand and unit economics. Just as importantly, you will build the systems that act on those insights: automation that safely optimizes production infrastructure, and tooling that keeps our commitment portfolio matched to actual usage. You will work directly with senior leadership and partner organizations to translate complex cost data into clear accountability. This is a role for an engineer who leads from the front technically while shaping the direction of a team that operates at the highest levels of the company.

This role is based in our Bellevue, WA office, with in-person attendance expected at least 3 days per week.

At the company, 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

• 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
• 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
• 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
• 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
• Drive the company'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
• Shape how the company measures and governs fast-growing AI/ML infrastructure spend, and apply AI-driven automation to cost operations such as anomaly triage, reporting, and remediation tracking

What you bring

• Strong data engineering skills, including distributed data processing (e.g., Spark), workflow orchestration (e.g., Airflow), and analytical data stores serving interactive workloads
• Strong proficiency with Kubernetes and a deep practical understanding of resource efficiency, capacity planning, and the relationship between infrastructure configuration and cloud spend
• Familiarity with cloud billing data and commercial constructs (usage and billing reports, Reserved Instance and Savings Plan amortization, enterprise agreements) is a strong plus
• Experience building automation that safely modifies production infrastructure, with guardrails, progressive rollout, and rollback built in, not just systems that observe and report
• Ability to reason deeply about cloud cost models, including tradeoffs between reserved vs. on-demand capacity, instance efficiency, and the financial impact of infrastructure decisions at scale
• Ability to communicate fluently with both engineering and finance audiences, translating infrastructure decisions into financial outcomes and presenting to senior leadership

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)

$230,000 — $270,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$203,000 — $238,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)

$180,000 — $211,000 USD