
Chief Geospatial Software Architect
2 weeks ago
Software Engineer Role
We are seeking an experienced software engineer to join our platform engineering group. As a key member of the team, you will design, develop, and maintain next-generation mission-critical cloud-based services handling petabytes of data.
Ideal candidates will have worked in a similar capacity as part of a high technology and/or data products company developing highly scalable services in the GIS, mapping, and/or geospatial data space.
Responsibilities:
Perform technical design, development, testing, and code reviews of enterprise-scale geospatial services.
Participate in team technical activities including story breakdown sessions, sprint planning, effort estimation, code reviews, NFR assessments, and architectural reviews.
Evaluate, prototype, and recommend next-generation cloud-native data delivery technologies.
Assess, refactor, and optimize high-volume repository transaction and distribution channels.
Identify and implement data quality management capabilities, monitoring tools, and associated governance controls/reporting.
Participate in troubleshooting and RCA process for production issue escalations.
Create clear and concise technical documentation, production support runbooks, and supporting quality metrics.
Required Skills and Qualifications:
5+ years of professional experience building enterprise-scale real-time and batch-based data distribution capabilities.
Extensive experience leveraging modern technologies, frameworks, and cloud tools (Kubernetes, Postgres, S3, SQS, etc.).
Expertise using modern development languages (Go and/or C# preferred).
Experience working with large geospatial raster and vector datasets.
Intimate familiarity with cloud-based large SQL databases including experience in performance tuning, query optimization, and partitioning.
Test-driven development mindset with a focus on code quality, scalability, and efficiency.
Previous experience building enterprise-caliber, event-driven distributed systems using cloud-based architectural patterns and infrastructure.
Familiarity with domain-based data architecture, metadata management, and data quality frameworks.
Strong oral and written English skills are required.
Collaborative working style with a primary focus on delivering quality outcomes.
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