Staff Backend Engineer, Monetization

About this role

Hinge is the dating app designed to be deleted

In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.

About the Role

Backend engineers design, build, operate, and maintain the various cloud services that power Hinge.  You’ll solve complex technical challenges and own a significant portion of the software stack that allows millions of users to find meaningful connections.  You’ll write high-quality code, design reliable systems, and operate the software that you build by taking part in on-call.

As a backend engineer, you’ll also be part of a diverse cross-functional team that includes partners in Product, Data Science, ML, iOS, Android, and Data Engineering.  You’ll have a hand in defining and implementing the technical strategy for how we approach Monetization.

Design and build RESTful APIs for mobile clients.

Taking part in the backend On-Call rotation (1 whole week, every 8-11 weeks).

Design and build microservices that run on Kubernetes.

Design and build distributed systems in Go, using cloud infrastructure and platform service components.

Own the technical design, implementation, and success of their projects.

Collaborate across teams, promoting a culture of inclusivity, growth, and strong cross-functional communication 8+ years of industry experience as a backend/service engineer

6+ years of experience working in a cloud environment such as GCP, AWS, or Azure

Strong programming skills: Proficiency in Go; Python is a bonus

System Design & Architecture: Expert-level understanding of distributed systems, event-driven architecture, cloud design patterns, and cross-cutting architectural concerns spanning multiple teams and services

Technical Leadership & Influence: Demonstrated ability to define and drive technical direction across teams — not just within a single product area. Able to identify and close gaps that don't fit neatly into any one team's remit

Collaboration and Communication skills: Exceptional written and verbal communication; able to synthesize complex technical tradeoffs for both engineering peers and non-technical stakeholders including senior leadership

Cloud Technologies: Expert proficiency with Kubernetes, OpenTelemetry, gRPC/Protobuf, Argo, Kafka, and related infrastructure; able to reason about and improve org-wide platform decisions

Mentorship & Engineering Culture: Track record of raising the technical bar for others — through code review, design feedback, documentation, or informal mentorship