Fastly

Fastly

Staff Engineer - Monetization

San Francisco, CA · Staff+

Sponsorship not specifiedDetected 4 days ago
Distributed SystemsBackend DevelopmentCode ReviewGitMySQLCassandraBigQueryCloud PlatformsAPI DevelopmentRESTKafkaData EngineeringComputer VisionAgileForecastingCommunication

About the role

  • Staff Backend Software Engineer - Monetization Platform Team
  • Customers rely on our usage data to understand their spend, forecast costs, and make purchasing decisions.

Responsibilities

  • Design, ship, and own billing infrastructure, usage APIs, and backend services, from technical proposal and design docs through implementation, testing, production rollout, and on-call support.
  • Partner with a diverse set of stakeholders across engineering, product, business systems, and billing to align on requirements and deliver impactful solutions.
  • Develop design and architecture documents as a way of collaborating across groups in the design of new systems and APIs.
  • Consider stability, performance, and scalability in your designs and in the guidance you provide to the team.
  • 5+ years building systems that collect, aggregate, and derive insights from large datasets. You've shipped a forecasting or reporting feature that real stakeholders depended on and you've had to explain why the numbers were wrong.
  • You drive projects, not just tasks. You've owned a multi-week effort end-to-end: design doc through post-launch.
  • You design for the people downstream of your data.
  • You've been the reason someone's numbers were wrong, and you've carried that into how you build now.
  • Fastly works hard to create a positive environment for our employees, and we think your life outside of work is important too.
  • Not only do our customers have a tremendous user base, but we also support a growing number of open source projects and initiatives.

Requirements

  • You can name a metric you added that paid off - and one you'd delete now.
  • A fully completed application and resume or CV are required when applying.
  • All job applications must be submitted through our official careers site at www.fastly.com/about/careers.

Nice to have

  • San Francisco, CA, USA

Skills

  • Fastly helps people stay better connected with the things they love.
  • Come join us.
  • Staff Backend Software Engineer, Monetization
  • Staff Backend Software Engineer
  • Go development
  • Cloud Technologies
  • Evolve the tools and pipelines that power billing, usage reporting, and orderability for Fastly's growing product catalog.

Compensation

  • The estimated salary range for this position is
  • Starting salary may vary based on permissible, non-discriminatory factors such as experience, skills, qualifications, and location.

Benefits

  • We support our teams with great benefits that start on the first day of your employment with Fastly.
  • We offer a comprehensive benefits package including medical, dental, and vision insurance.
  • We also offer 401(k) (including company match) and an Employee Stock Purchase Program.
  • For 2026, we offer 11 paid local holidays, 12 paid company wellness days.
  • Consistent with the Americans with Disabilities Act (ADA) and federal or state disability laws, Fastly will provide reasonable accommodations for applicants and employees with disabilities.

Company info

  • The Monetization Platform team owns the systems that translate what customers do on the network into the commercial relationship they have with
  • The Monetization Platform team owns the systems that translate what customers do on the network into the commercial relationship they have with Fastly: billing infrastructure, usage APIs, usage reporting, and orderability.
  • Use AI coding agents as part of your daily workflow.
  • What We're Looking For:
  • We are committed to being a company where our employees feel comfortable bringing their authentic selves to work and have the ability to be successful -- every day.
  • We are passionate.

This listing is sourced directly from Fastly's careers page and normalized into a canonical job model.