Staff Software Engineer

We’re looking for a hands-on Staff Software Engineer to elevate engineering excellence and take technical ownership across our full-stack platform. This role centers on technical leadership through execution. You will set high engineering standards, mentor teammates, drive architectural decisions — and actively contribute production-grade code yourself. Architecture and system design are important, but your primary impact will come from combining strong technical judgment with hands-on delivery. You will operate across frontend and backend systems (Next.js, NestJS, Node.js / TypeScript) running on GCP (Cloud Run, Kubernetes). Experience in AdTech / MarTech (e.g., server-side tracking, GTM, GA4) is a strong plus, but the core requirement is deep software engineering maturity.

• Design and implement our systems & services that integrate with Meta MSGW at scale. • Implement and operate high-availability microservices delivering the functionality for our Meta SGW product offering. • Integrate with Meta’s API surfaces (Graph API, CAPI endpoints, Signals Gateway). • Collaborate with product and engineering teams to ensure end-to-end data compliance and transparency. • Mentor and lead engineers in server-side tracking best practices.

What You’ll Own: Hands-On Development • Actively implement complex features and core platform components. • Contribute to both backend and (when needed) frontend systems. • Refactor and improve critical parts of the codebase. • Tackle technically challenging problems end-to-end. • Prototype and validate architectural approaches through real code.

Engineering Excellence & Technical Leadership • Lead by example through well-structured, production-grade code. • Raise the bar for code quality, testing, and maintainability. • Conduct deep, constructive code reviews. • Establish strong standards for observability, reliability, and security. • Improve CI/CD and operational maturity. • Mentor engineers and strengthen architectural thinking across the team. • Critically evaluate AI-assisted output and ensure it meets high standards.

Architecture & System Design • Drive end-to-end design across frontend, APIs, and cloud infrastructure. • Define service boundaries and integration patterns. • Design scalable and maintainable distributed systems. • Balance pragmatic delivery with long-term system health.