Staff Engineer - Real-Time Distributed Backend (Go/Java)

Point One Navigation

San Francisco (CA)

Hybrid

USD 190,000 - 270,000

Full time

14 days+

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Job summary

Point One Navigation seeks a Staff Engineer for the Backend Services team to shape the architecture of our systems and build services supporting our global corrections network and real‑time location services.

Role focuses on robust backend design, architectural decision records, and roadmap planning for infrastructure advances, while driving performance and reliability for mission‑critical, distributed systems.

Qualifications

  • Minimum 8 years of software engineering experience with backend and network systems.
  • Advanced proficiency in Java and Go for production systems.
  • Experience with distributed messaging systems such as Kafka or RabbitMQ.
  • Ability to design complex distributed systems and produce architecture docs.
  • Strong technical writing and systems design documentation experience.
  • Understanding of network protocols, HA architectures, and microservices.

Responsibilities

  • Design, develop, and maintain robust backend services and network systems using Go and Java.
  • Prepare architecture records, design docs, and technical specifications.
  • Contribute to strategic infra roadmap and architectural discussions.
  • Improve performance and reliability of globally distributed systems.
  • Collaborate with cross‑functional teams on real‑time data processing and corrections delivery.
  • Own key backend infrastructure components from design to deployment and monitoring.

Skills

Java
Go
Distributed systems
Technical writing

Tools

Kafka
RabbitMQ
gRPC
PostGIS
AWS
Kubernetes

Job description

Point One Navigation seeks a Staff Engineer for the Backend Services team to shape the architecture of our systems and build services supporting our global corrections network and real‑time location services.

Role focuses on robust backend design, architectural decision records, and roadmap planning for infrastructure advances, while driving performance and reliability for mission‑critical, distributed systems.

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