Staff Network Backend Engineer

Location: San Francisco, CA / San Diego, CA - In Office 3 Days/Week

Staff Network Backend Engineers own the design, implementation, and reliability of the backend services and APIs that power Point One's RTK Correction Network - from correction-data ingestion and distribution to the customer-facing APIs that deliver positioning at scale.

This is an ownership-first role: you will design and build distributed systems that serve real-time corrections to hundreds of thousands of devices in the field, with the latency, availability, and the correctness that mission-critical positioning demands.

The RTK Corrections Network is the backbone connecting our reference stations to every device that depends on us. This team is responsible for keeping it fast, reliable, and scalable: designing services that handle growing traffic, responding to evolving customer needs, and ensuring the network stays observable, tested, and production-ready as it grows.

- Backend services are robust, performant, and scalable across a growing base of devices, customers, and geographies.

- Real-time corrections are delivered with low latency and high availability, even under load and partial failure.

- APIs are well-designed, well-documented, and easy for customers and internal teams to build on.

- Engineering decisions reflect a deep understanding of real-world constraints - latency, throughput, reliability, scale, and cost.

- Customer challenges are met with well-designed, durable solutions.

- Observability and testing are treated as first-class responsibilities, giving the team and customers confidence in every release.

- Lead design, implementation, and optimization of backend services that power the RTK Corrections Network and customer-facing APIs.

- Build and evolve API-first services that are clear, well-documented, and reliable for internal and external developers.

- Drive performance and efficiency improvements across the request path - latency, throughput, and cost.

- Ensure the service stack is well-structured, maintainable, and built to last as the product and customer base grow.

- Own the ingestion, processing, and distribution of GNSS correction data from reference stations to devices in the field.

- Design streaming and connectivity paths (e.g., NTRIP and similar protocols) that deliver corrections reliably and at low latency.

- Expand network capacity and coverage as new regions, stations, and customers come online.

- Design for high availability, graceful degradation, and recovery under partial failure.

- Own observability - metrics, logging, tracing, and alerting - so issues are caught and resolved before customers feel them.

- Identify and resolve bottlenecks and reliability risks early, particularly as traffic and scale grow.

- Collaborate with embedded, firmware, infrastructure, and customer-facing teams to deliver reliable end-to-end systems.

- Design and maintain rigorous testing strategies across backend services and the correction pipeline.

- Identify gaps in coverage proactively, particularly as new services, protocols, or customer configurations are added.

- 7+ years of professional software development, with significant depth in backend or distributed systems.

- Proven ability to design, build, and operate production backend services and APIs at scale - from architecture through deployment and on-call ownership.

- Strong proficiency in a backend language such as Go, Java, or Python.

- Deep understanding of networking fundamentals (TCP/IP, TLS, HTTP) and experience building low-latency, high-throughput services.

- Experience designing and operating distributed systems - availability, scaling, and observability.

- Hands-on experience with cloud infrastructure (AWS, GCP, or similar), containers, and CI/CD.

- BS/MS in Computer Science, Computer Engineering, or equivalent experience.

- Experience with real-time data streaming or low-latency messaging (gRPC, Kafka).

- Experience with distributed processing frameworks (Flink, Spark, Hadoop)

- Working knowledge of GNSS, RTK corrections, or positioning technologies.

- Experience with infrastructure-as-code and large-scale observability tooling.