The opportunity
The Monetization Data Systems team builds the trusted data and product systems that power how the company develops, measures, and improves monetization products. We bring together product usage, pricing, billing, ads, payments, and financial data to help Product, Engineering,…
What you'll do
Design, improve, and operate reliable, scalable backend services that power: pricing, billing, ads, payments, entitlements, and other monetization platform capabilities.
Own the architecture and implementation of critical workflows relevant to: monetization data, data contracts, and integrations across product and business systems.
Establish strong guarantees for correctness, availability, security,: performance, reconciliation, and auditability across business-critical systems.
Build reusable platform capabilities and developer tools that enable product: teams to launch, measure, and iterate on monetization products quickly and safely.
Partner with Product, Design, Data, Finance, Accounting, and GTM teams to: translate customer and business needs into robust technical solutions.
Lead the technical design and delivery of complex, cross-functional projects,: using clear system designs and RFCs to align partners before implementation and making sound tradeoffs among product velocity, scalability, reliability, and maintainability.
What they're looking for
- Improve the observability and operational excellence of critical services,: including monitoring, incident response, root-cause analysis, capacity planning, and long-term remediation.
- Mentor other engineers, contribute to architecture and code reviews, write: clear documentation, and share knowledge across teams to elevate the broader engineering organization.
- Possess a minimum of 7+ years of professional software engineering experience: with deep experience building and operating production software systems, backend services, or distributed systems at scale.
- Are highly proficient in at least one general-purpose programming language: such as Go, Java, Python, Rust, or C++, with strong computer science fundamentals.
