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Cotality

Provides property data insights for lenders

Senior Software Engineer - Location Services

Backend EngineeringUpdated on Nov 13
Full-time$111.9k - $160k /yr

About the Job

Requirements

  • At least 5 years of professional software engineering experience, with a strong track record of delivering production backend systems.
  • Demonstrated hands-on geospatial experience.
  • Prior experience building or working on location-based services, mapping platforms, or spatial data pipelines in a production environment.
  • Hands-on experience designing and building scalable distributed systems and RESTful or gRPC APIs.
  • Strong proficiency in one or more backend programming languages, such as Java, C++, Python, or Go.
  • Experience building and deploying cloud-native applications, such as on GCP, AWS, or Azure.
  • Ability to explain technical concepts clearly to technical and non-technical stakeholders.

Responsibilities

  • Design, build, and maintain scalable, low-latency, highly available backend services within the Location Services platform.
  • Lead component-level design of new geospatial features and APIs and contribute to broader architectural discussions.
  • Apply geospatial expertise to data modeling, spatial indexing, querying, and processing, while writing clean, maintainable, well-tested code.
  • Evaluate and adopt modern tools, libraries, and patterns that improve team productivity and service performance.
  • Own end-to-end delivery of key geospatial components, features, and microservices, from technical specification through production deployment.
  • Break down complex requirements into well-scoped engineering tasks, estimate effort, and manage technical risks.
  • Ensure solutions meet standards for performance, location accuracy, data quality, reliability, and security.
  • Contribute technical feasibility assessments and constructive feedback to team roadmap planning.
  • Partner with product managers, data engineers, and infrastructure teams to deliver cohesive location-based capabilities.
  • Support partner engineering teams integrating with Location Services APIs through documentation and technical guidance.
  • Help resolve cross-service integration challenges to ensure smooth end-to-end system behavior.
  • Implement observability, monitoring, and alerting to maintain high availability and fault tolerance across geospatial services.
  • Participate in on-call rotations, troubleshoot production issues, and conduct root-cause analyses to drive preventative fixes.
  • Champion automated testing, CI/CD pipelines, and reliability engineering practices within the team.
  • Mentor junior and mid-level engineers through pairing, design discussions, and constructive code reviews, and share geospatial best practices.
  • Uphold standards for engineering rigor, system documentation, and operational readiness.
  • Promote a collaborative engineering culture focused on continuous improvement and customer impact.

Desired Qualifications

  • Experience with real-time or near-real-time location processing pipelines.
  • Familiarity with geospatial tooling and standards, including GDAL, GeoServer, OGC standards, and GeoJSON.
  • Experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Familiarity with asynchronous messaging and data streaming, such as Kafka and Pub/Sub.
  • Experience with performance tuning, load testing, and reliability engineering.

About the Company

Cotality

Provides property data insights for lenders

Cotality provides property data insights to support lenders, real estate, and financial clients in making smarter property decisions. Its main product use is smart mapping that keeps surveyors aligned with client requirements and generates accurate, lender-compliant reports. The service combines market research, climate resilience data, and risk signals to help users identify opportunities and reduce risks, while training resources like webinars and video guides help clients understand market dynamics and pricing. Cotality differentiates itself by delivering data-driven, lender-focused reporting and practical tools to improve productivity, streamline operations, and address issues like insurance fraud, rather than relying on generic data. The goal is to help clients price, value, and decide on property opportunities more confidently and efficiently.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Irvine, CA
Founded
Not listed

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