Fastly

Staff Engineer - Monetization

Fastly • $150K — $180K *
San Francisco, CA 94112In-Person
Enterprise Technology
5 - 7 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 7+ years of experience designing and operating highly available data pipelines and distributed systems.
  • 5+ years of experience building systems for large datasets and delivering critical forecasting features.
  • Proven track record of driving projects end-to-end from design to post-launch support.
  • Focus on designing systems with downstream user impacts in mind.
  • Ability to evaluate metrics critically, knowing when to add or remove them for efficiency.
  • Experience with relational and non-relational storage systems, including MySQL and BigTable.
  • Proficient in handling pub/sub message queues such as Kafka or Google Pub/Sub.

Responsibilities

  • Design and implement billing infrastructure and usage APIs.
  • Integrate AI coding agents into daily development workflows.
  • Transform ambiguous technical problems into actionable project plans.
  • Collaborate with cross-functional teams to develop and deliver solutions.
  • Create design and architecture documents for new systems and APIs.
  • Enhance tools and strategies for billing and usage reporting.
  • Ensure system stability and scalability through thorough guidance and mentoring.

Benefits

  • Comprehensive medical, dental, and vision insurance from day one.
  • Family planning and mental health support included in Employee Assistance Program.
  • Flexible vacation policy alongside 18 days of accrued paid sick leave.
  • 401(k) plan with company match and an Employee Stock Purchase Program.
  • 11 paid local holidays and 12 paid company wellness days each year.
Full Job Description
Staff Backend Software Engineer, Monetization

Staff Backend Software Engineer

About the Role: Staff Backend Software Engineer - Monetization Platform Team

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. Customers rely on our usage data to understand their spend, forecast costs, and make purchasing decisions. Product teams build pricing models on top of it. It's a large responsibility, and a large opportunity to shape the financial infrastructure Fastly's next chapter is built on.

As a Staff Software Engineer you will lead the design and development of highly-available, scalable systems as the platform expands to support new product lines, more complex pricing models, and a usage surface that keeps growing.

What You'll Do:
  • 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.
  • Use AI coding agents as part of your daily workflow.
  • Take ambiguous or broadly-scoped problems and turn them into well-defined technical plans that the team can execute on.
  • 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.
  • Evolve the tools and pipelines that power billing, usage reporting, and orderability for Fastly's growing product catalog.
  • Consider stability, performance, and scalability in your designs and in the guidance you provide to the team.
  • Mentor and grow other engineers on the team through code review, pairing, and technical leadership.
  • Participate in an on-call rotation.


What We're Looking For:
  • Hands-on experience designing and operating highly available, reliable data pipelines and distributed systems that process large volumes of data at scale - most Staff level engineers at Fastly have at least 7 years of related experience.
  • 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. The engineer whose service silently ingested bad records for a week, the customer who got an incorrect bill, the on-call engineer who had no idea what broke because there were no metrics on the pipeline. You've been the reason someone's numbers were wrong, and you've carried that into how you build now.
  • Testing and observability as subtraction, not addition. You can name a metric you added that paid off - and one you'd delete now.
  • Relational and non-relational storage systems (MySQL, BigTable, BigQuery, Dynamo, Cassandra) experience.
  • Pub/sub style message queues (NSQ, Kafka, Google Pub/Sub, Kinesis) experience.
  • Coding agents as a daily driver, not reluctantly. This team uses them heavily.

We'll be super impressed if you have experience in any of these:
  • Experience with billing or finance systems (e.g. recurring billing engines, ratings engines, financial forecasting tools) and their data requirements.
  • Expert on RESTful API design: resource modeling, versioning, idempotency, error semantics, pagination, OpenAPI. You've made one of these calls wrong in production and remember what it cost to clean up.
  • Go development
  • Cloud Technologies

Work Hours:
  • This position will require you to be available during core business hours (Pacific Time) and occasional nights and weekends as required for on call support

Work Location(s) & Travel Requirements:

This position is open to the following preferred office locations:
  • San Francisco, CA, USA

Fastly currently embraces a largely hybrid model for most roles which allows employees flexibility to split their time between the office and home.

SF / LA Fair Chance Ordinance Statement

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Salary:

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.

This role may be eligible to participate in Fastly's equity and discretionary bonus programs.

Benefits:

We care about you. Fastly works hard to create a positive environment for our employees, and we think your life outside of work is important too. We support our teams with great benefits that start on the first day of your employment with Fastly. Curious about our offerings?

We offer a comprehensive benefits package including medical, dental, and vision insurance. Family planning, mental health support along with Employee Assistance Program, Insurance (Life, Disability, and Accident), a Flexible Vacation policy and up to 18 days of accrued paid sick leave are there to help support our employees. 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.

About Fastly

Fastly is an American cloud computing services provider. Fastly's edge cloud platform enables customers to create great digital experiences quickly, securely, and reliably by processing, serving, and securing our customers' applications as close to their end-users as possible — at the edge of the internet. Fastly's customers include many of the world's most prominent companies, including Vimeo, Pinterest, The New York Times, and GitHub. Fastly was founded in 2011 by Artur Bergman, Simon Wistow, and Gil Penchina. The company went public on May 15, 2019, and is listed on the New York Stock Exchange under the ticker symbol 'FSLY'.
Learn more about Fastly
Size
976 employees
Market Cap
$936.2 million
Industry
Enterprise Technology
Net Income
-$95.9 million
Founded
2011
Revenue
$290.8 million
NASDAQ
FSLY
* Ladders Estimates

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