Senior Network Backend Engineer

About the role

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.

Responsibilities

• Own Backend Services and APIs
• 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.
• Break down high-level goals into concrete tasks, schedules, and milestones, and hold yourself accountable for delivering against them.
• 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.
• Scale the RTK Corrections Network
• Own 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 and evolve distributed systems that are high-available, scalable, and observably reliable.
• Respond to customer and market challenges
• Engage directly with evolving customer needs and translate them into well-designed, durable technical solutions.
• Collaborate with embedded, firmware, infrastructure, and customer-facing teams to deliver reliable end-to-end systems.
• Identify and resolve bottlenecks and reliability risks early, particularly as traffic and scale grow.
• Own Testing and Verification
• Design and maintain rigorous testing strategies across backend services and the correction pipeline.
• Treat test coverage as a first-class engineering responsibility - ensuring the team and customers have confidence in every release.
• Identify gaps in coverage proactively, particularly as new services, protocols, or customer configurations are added.

Requirements

• 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.
• Proven ability to decompose high-level goals into actionable tasks, realistic schedules, and clear milestones - with a track record of delivering on commitments.
• 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.
• Experience designing and owning testing and verification strategies for complex systems.
• BS/MS in Computer Science, Computer Engineering, or equivalent experience.
• Bonus points for experience with real-time data streaming or low-latency messaging (gRPC, Kafka).
• Experience with distributed processing frameworks (Flink, Spark, Hadoop).
• Background in highly available or mission-critical systems.
• Experience with infrastructure-as-code and large-scale observability tooling.

Qualifications

• 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.
• Proven ability to decompose high-level goals into actionable tasks, realistic schedules, and clear milestones - with a track record of delivering on commitments.
• 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.
• Experience designing and owning testing and verification strategies for complex systems.
• BS/MS in Computer Science, Computer Engineering, or equivalent experience.
• Bonus points for experience with real-time data streaming or low-latency messaging (gRPC, Kafka).
• Experience with distributed processing frameworks (Flink, Spark, Hadoop).
• Background in highly available or mission-critical systems.
• Experience with infrastructure-as-code and large-scale observability tooling.