fal Logo

fal

Staff Software Engineer, Payments

Reposted One Month Ago
In-Office
San Francisco, CA, USA
160K-200K Annually
Mid level
In-Office
San Francisco, CA, USA
160K-200K Annually
Mid level
Design and build event-driven billing systems, integrate with payment providers, and develop data flows for analytics in collaboration with Finance and Product teams.
The summary above was generated by AI

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.


About this role

We are looking for a Software Engineer to help build the next generation of usage-based billing systems at fal. This role is ideal for someone passionate about designing scalable event-driven systems that integrate tightly with Stripe and Orb, power real-time usage tracking, and deliver accurate, flexible billing experiences for customers.

You will work cross-functionally with Product, Finance, and Infrastructure teams to ensure our billing system is robust, accurate, and capable of supporting new pricing models as our product grows.

What You'll Do
  • Design and build event-driven billing systems that process real-time usage data.
  • Integrate with Orb for usage metering and Stripe for payments and invoicing.
  • Build Python-based microservices running on Kubernetes to handle billing workflows.
  • Develop data storage and processing flows for downstream analysis in BigQuery.
  • Collaborate with product engineers to build Next.js dashboards and admin tools for billing insights and reconciliation.
  • Ensure billing systems are accurate, auditable, and scalable to support new product launches and pricing models.
  • Partner with Finance to automate reporting, reconciliation, and revenue analytics.
What We're Looking For
  • Experience with usage-based billing systems or event-driven architectures.
  • Strong Python skills for backend microservices.
  • Familiarity with Stripe (payments, invoicing) and Orb (usage metering) APIs.
  • Experience with Postgres for transactional data and BigQuery for analytics.
  • Experience with Kubernetes and containerized deployments.
  • Ability to build admin interfaces or customer dashboards using Next.js.
  • Comfort working with event-driven data pipelines (e.g., Kafka, Pub/Sub, or similar).
  • Strong cross-functional collaboration skills with Finance, Product, and Data teams.
Nice to Have
  • Experience with FinTech, SaaS, or cloud usage billing at scale.
  • Familiarity with cloud providers (AWS, GCP) and their billing models.
  • Knowledge of pricing experimentation or monetization platforms.
Compensation
  • $160,000 - $200,000 + equity + comprehensive benefits package

Location
  • We are currently hiring in downtown San Francisco.

Similar Jobs

2 Days Ago
In-Office
San Francisco, CA, USA
Expert/Leader
Expert/Leader
Payments • Software
Lead the technical strategy and architecture for Stripe’s card issuing platform. Design and maintain highly available APIs, backend services, authorization flows, spending controls, and cardholder systems handling large-scale financial transactions. Drive infrastructure investments, cross-functional initiatives, technical roadmaps, engineering standards, and operational reliability. Influence leadership, resolve production issues, and mentor senior engineers while supporting geographic expansion and new card program models.
Top Skills: APIsDistributed Backend SystemsEvent-Driven ArchitecturesKybKycMastercardReal-Time Transaction ProcessingVisa
3 Days Ago
Hybrid
San Francisco, CA, USA
182K-228K Annually
Expert/Leader
182K-228K Annually
Expert/Leader
Automotive
Design and build scalable payment, billing, and invoicing capabilities while migrating monolithic services to independently deployable cloud microservices. Lead architecture decisions, write and test high-quality code, conduct code reviews, oversee deployments, improve reliability and performance, create diagnostic tools, document technical designs, and mentor engineers across product, core services, and platform teams.
Top Skills: AlertingCCloudDatabasesDistributed SystemsGoJavaKotlinLoggingMicroservicesMonitoringPythonSearchStreaming
29 Days Ago
In-Office
San Francisco, CA, USA
Expert/Leader
Expert/Leader
Payments • Software
Lead technical strategy and engineering quality across Payment Intelligence products. Drive performance, distributed systems, APIs, and frontend work; collaborate with ML, product, and design teams; partner with large merchants and ship scalable, high-quality software.
Top Skills: AirflowFlyteJavaKafkaMongoDBPythonRubyTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account