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# Geospatial Platform Lead

- **Company:** Lynker Technologies
- **Location:** Boulder, CO, United States
- **Experience:** Expert
- **Salary:** $45,760.0 - $49,920.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Computing Platforms, Continuous Integration, Python (Programming Language), High Performance Computing, Git, Cloudformation, Information Technology, Data Analytics, Dask, Data Management, Terraform
- **Published:** August 1, 2026
- **Apply:** https://www.jofdav.com/jobs/59054345-geospatial-platform-lead

## About the Role

As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Geospatial Platform Lead to join our growing team., * Bachelor's or Master's in geospatial science, computer science, engineering, environmental or earth science, or a related field; or equivalent hands-on experience in place of a degree.

 * Several years building and operating cloud-native geospatial or data platforms (roughly 5+ years, or equivalent depth of experience).
 * Strong Python and production software practices, including Git, testing, and CI/CD.
 * Hands-on AWS experience (our primary cloud) and Infrastructure-as-Code (e.g., Terraform or CloudFormation).
 * Experience with cloud-native geospatial formats and serving (COG, GeoParquet, STAC/pgSTAC, TiTiler, or comparable).
 * A track record of setting technical direction and mentoring engineers., * Deep experience with the STAC ecosystem and dynamic tiling (pgSTAC, stac-fastapi, TiTiler).
 * Distributed or large-scale processing (e.g., Dask, cloud batch) and high-performance computing.
 * Background in hydrology, water resources, or environmental science.
 * Experience delivering operational, regularly updated scientific products and public-facing tools.
 * Experience owning a platform roadmap and engineering standards across multiple teams.
 * Colorado Front Range presence for periodic in-person collaboration.

## Description

Duties of the Geospatial Platform Lead will include the following:

 * Platform architecture: own the architecture of the geospatial platform: cloud-native data (STAC, cloud-optimized formats), the serving and tiling layer (e.g., TiTiler), and the pipelines that scale model and map outputs.
 * Data at scale: translate science outputs into reliable, versioned data products and interfaces for applications, partners, and the public.
 * Standards & reliability: set engineering standards, including Infrastructure-as-Code on AWS; keep the platform reliable, secure, and interoperable; and own the roadmap for how it scales.
 * Cross-team alignment: share goals, schemas, and delivery patterns with the teams that produce our data and analytics so that products and platform interfaces line up.
 * Technical leadership: set technical direction for the cloud-native geospatial developers, coordinate across the Science, Applications, and Engineering teams, and mentor team members.
 * Delivery: keep the platform's data discoverable, reproducible, and operationally reliable for the applications, APIs, and partners that consume it.


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