Senior Software Engineer, FinOps

Box•Redwood City, CA

18h•$198,500 - $248,000•Hybrid

About The Position

Box is hiring a Senior Software Engineer for its FinOps team, which provides visibility into costs and usage across public cloud, SaaS, and AI to support informed decisions by finance and executive leadership. The role owns the design and development of systems that support this work, including forecasting, monitoring, and alerting. It combines hands-on engineering with technical leadership and broader organizational influence. The engineer will work on a cross-functional team of software engineers, data engineers, site reliability engineers, and data scientists, and report to a Senior Engineering Manager.

Requirements

At least 5 years of experience building production software.
Strong proficiency in Python and Django, with frontend experience in React and JavaScript.
Experience designing and delivering APIs and scaling and integrating systems across complex environments.
Hands-on experience with cloud platforms and Kubernetes, including building and maintaining CI/CD pipelines for automated testing and deployment.
Demonstrated end-to-end ownership of a component, from design and implementation through testing and production operation.
Experience leading cross-team projects and making design decisions with incomplete information.
A track record of improving how a group builds software through review standards, delivery processes, or coaching.
Clear communication with engineering, finance, and executive audiences, including financial readouts.
A growth mindset and ability to leverage AI to support faster, smarter decisions.

Nice To Haves

Experience with GCP, which is preferred.
Experience with AWS, which is valued.

Responsibilities

Own the goals, design, delivery planning, and outcomes for forecasting, monitoring, and alerting systems covering cloud, SaaS, and AI cost and usage.
Build and maintain the full technology stack, including data pipelines, processing engines, backend services, APIs, and frontend applications.
Design scalable systems that integrate cleanly with other systems and evaluate trade-offs as complexity grows.
Establish and publish engineering practices for design reviews, testing, code reviews, documentation, and releases, and coach engineers in adopting them.
Trace cost and usage anomalies to their root causes and communicate findings and relevant trade-offs to engineering partners, finance, and executive leadership.
Use AI-assisted development tools to improve productivity and review their output before it reaches forecasts, dashboards, or shared practices.
Participate in the on-call rotation and remain available while on-call to respond to and triage issues.