We are looking for a Senior Fullstack Engineer, Platform.
As a Senior Full Stack Engineer on this team, youll work across the stack: designing robust backend services and building polished, data-driven UIs that help customers and internal stakeholders get value quickly.
What You'll Do:
Own end-to-end features across backend and frontend from technical design and implementation to deployment and monitoring.
Design, implement, and maintain scalable microservices and event-driven architecture.
Build modern, high-quality web frontend experiences that expose subscription and usage data to customers and internal teams in a clear, actionable way.
Collaborate with cross-functional teams (Product, Data, CS, other engineering teams) to design systems that support product-led growth and business goals.
Contribute to platform and architecture decisions, ensuring our systems are reliable, observable, and easy to evolve.
Simplify integrations, workflows, and the overall developer experience to significantly reduce the Mean Time to Value (MTTV) for both internal teams and customers.
Write clean, testable, and maintainable code, and perform thoughtful code reviews for peers.
Take ownership of production including monitoring, troubleshooting, and continuously improving performance, reliability, and cost.
Design and maintain asynchronous flows using queues as part of our event-driven architecture.
Requirements: 5+ years of experience as a full stack engineer working on production systems.
Strong backend engineering experience with:
Node.js and TypeScript
Microservices architecture
Building and consuming RESTful APIs and event-driven systems
Solid frontend experience with:
React and TypeScript
Building complex, data-heavy, performant web applications
Translating UX/product requirements into clean component architectures
Experience with relational databases, including data modeling, query optimization, and troubleshooting.
Proven experience deploying and operating services in cloud environments (AWS, GCP, or Azure), including containerized workloads (Docker, Kubernetes or similar).
Hands-on experience with monitoring, logging, and alerting (e.g., Datadog, Coralogix, Grafana).
Strong understanding of system design, distributed systems, scalability, and reliability.
Ability to debug complex production issues across the stack and drive them to resolution.
Comfortable working in a fast-paced environment, juggling multiple priorities while maintaining high quality.
Experience working with asynchronous processing and queues as part of event-driven architectures.
Nice to Have:
Experience with billing, payments, or subscription platforms.
Experience building internal platforms or tooling for other engineering teams.
Background with analytics/BI or data products exposed to customers.
This position is open to all candidates.