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As a Geospatial Engineer at Battle Road, you will design, operate, and evolve the geospatial data pipelines and systems that underpin AtomEngine’s simulation runtime. This role sits at the intersection of data engineering, geospatial science, and simulation systems, owning the lifecycle of spatial data from sourcing and integration through processing, storage, and delivery at scale. You will evaluate and onboard new geospatial datasets and data products, translate simulation and runtime requirements into fit-for-purpose geospatial data, and ensure these datasets balance fidelity, performance, and scalability. In addition to data product ownership, you will administer and optimize the geospatial services and infrastructure that deliver this data—including GeoServer and PostGIS-backed systems—while enforcing strong stewardship practices around metadata, provenance, versioning, and quality. You will collaborate closely with engine, simulation, and AI teams to ensure geospatial data is performant, reliable, and directly enables new simulation capabilities, rather than serving as passive infrastructure.
Job Responsibility:
Design, operate, and evolve Battle Road’s geospatial data pipelines, supporting the ingestion, processing, storage, and delivery of data sets used by the simulation
Source, evaluate, and integrate new geospatial datasets and data products (e.g., terrain, land cover, infrastructure, boundaries, mobility-relevant layers) that unlock new simulation features and capabilities
Translate simulation and runtime requirements into geospatial data products, ensuring datasets are fit for purpose across scale, performance, and fidelity constraints
Administer and optimize geospatial services and infrastructure (including GeoServer and related tooling) to ensure reliability, performance, and secure access in both development and production environments
Implement and enforce geospatial data stewardship best practices, including metadata standards, versioning, provenance, governance, and quality assurance
Design and maintain PostgreSQL/PostGIS-backed data stores, optimizing schemas, queries, and access patterns for large-scale simulation and analytical workloads
Collaborate with engine, simulation, and AI teams to ensure geospatial data is aligned with runtime needs, performant at scale, and consumable by downstream systems
Requirements:
Geoserver Administration – 3 to 5 years experience installing, configuring, tuning, scaling, and securing Geoserver deployments (including cluster/HA setups, REST API usage, user/role configuration, SLD/stylesheet management, and WMS/WFS/WCS endpoint provision)
PostgreSQL/PostGIS Expertise - 3 to 5 years experience database administration for spatial workloads, including schema design for raster and vector data, spatial indexes, backup/recovery, query optimization, and JSON/array data handling
Data Cataloging & Metadata - Ability to implement, manage, and extend open-source geospatial metadata catalog/dictionary tools (GeoNode, CKAN, GeoNetwork), including FGDC/ISO metadata standards, schema extension, and discovery interface customization
Experience integrating, managing, and synchronizing global spatial datasets (e.g., OpenStreetMap, satellite/basemaps, government releases), working with multi-format, high-volume data assets
Experience with regular cross-functional coordination with GIS/data engineers, software developers, cloud infrastructure teams, and non-technical stakeholders to deliver outcomes as part of multidisciplinary teams
U.S. Citizenship is mandatory for this position
What we offer:
Equity: Share in the company's success
Flexible Work Environment: Remote-first organization* with flexible work hours and unlimited PTO
Comprehensive Health Coverage: Health, dental, vision, and life insurance
Retirement Plan: 401(k) plan with company match to secure your future
Parental Leave: 8 weeks at 100% regardless of state
Company Retreats: Annual company summit trips
Home Office Budget: $1,000 per year for home office improvements