Staff Backend Engineer, Monetization
Team: Engineering
Location: New York, New York
Commitment: Full-time
Workplace Type: hybrid
Salary:
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.
Responsibilities
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Design and build RESTful APIs for mobile clients.
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Taking part in the backend On-Call rotation (1 whole week, every 8-11 weeks).
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Design and build microservices that run on Kubernetes.
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Design and build distributed systems in Go, using cloud infrastructure and platform service components.
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Own the technical design, implementation, and success of their projects.
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Collaborate across teams, promoting a culture of inclusivity, growth, and strong cross-functional communication
What We're Looking For
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8+ years of industry experience as a backend/service engineer
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6+ years of experience working in a cloud environment such as GCP, AWS, or Azure
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Strong programming skills: Proficiency in Go; Python is a bonus
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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
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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
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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
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Cloud Technologies: Expert proficiency with Kubernetes, OpenTelemetry, gRPC/Protobuf, Argo, Kafka, and related infrastructure; able to reason about and improve org-wide platform decisions
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Mentorship & Engineering Culture: Track record of raising the technical bar for others — through code review, design feedback, documentation, or informal mentorship
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