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.