Senior Geospatial Backend Engineer

Cotality; San Diego (CA); Hybrid; USD 112,000 - 160,000; Full time

Benefits offered by this job

Generous PTO and holidays

Parental leave

Health plans

401(k) with match

Well-being stipend

Job summary

Cotality is seeking a Senior Software Engineer with proven geospatial expertise to join the Location Services team. You will design, build, and maintain scalable, low-latency location-based services and APIs that power critical workflows across Cotality.

This hybrid role (1 day in office, 4 days remote) can be based from Dallas, Austin, Irvine, or San Diego, and involves mentorship and reliability engineering practices to ensure high performance and data quality across geospatial pipelines.

Qualifications

• 5+ years of professional software engineering experience.
• Hands-on geospatial experience.
• Experience building location-based services, mapping platforms, or spatial data pipelines.
• Experience designing scalable distributed systems and RESTful/gRPC APIs.
• Proficiency in Java, C++, Python or Go; cloud-native deployments (GCP/AWS/Azure).

Responsibilities

• Design, build, and maintain scalable, low-latency geospatial backend services.
• Own end-to-end delivery of geospatial components and microservices.
• Collaborate with product managers and data infra teams to ensure quality.
• Implement observability, monitoring, and reliability practices.
• Mentor junior engineers and promote best geospatial practices.

Skills

Geospatial expertise

Backend development

API design

Cloud-native apps

Backend languages

Tools

Docker

Kubernetes

GeoServer

GDAL

Kafka

GeoJSON

Job description

Cotality is seeking a Senior Software Engineer with proven geospatial expertise to join the Location Services team. You will design, build, and maintain scalable, low-latency location-based services and APIs that power critical workflows across Cotality.

This hybrid role (1 day in office, 4 days remote) can be based from Dallas, Austin, Irvine, or San Diego, and involves mentorship and reliability engineering practices to ensure high performance and data quality across geospatial pipelines.