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Geospatial Platform Engineer

Job in McLean, Fairfax County, Virginia, USA
Listing for: SwiftCruit
Full Time position
Listed on 2026-06-29
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Engineering, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 161000 - 236500 USD Yearly USD 161000.00 236500.00 YEAR
Job Description & How to Apply Below

Eligibility

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance at the TS/SCI level with required polygraph. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Role Overview

We are seeking a Geospatial Platform Engineer to support geospatial, imagery, AI/ML, and data-driven application development, deployment, and operations. The role focuses on moving mission capabilities from prototype to production through hands‑on software development, data and service integration, Kubernetes‑based platforms, containerized architectures, CI/CD automation, observability, and secure Dev Sec Ops  practices.

Responsibilities
  • Develop and integrate backend services, APIs, data connectors, plugins, and platform components that support geospatial, imagery, AI/ML, and analytic workflows.
  • Build data ingest, enrichment, transformation, indexing, alerting, API, and analytic service components for mission‑focused applications.
  • Design, deploy, and maintain containerized application architectures using Docker, Kubernetes, Rancher, RKE2, or similar technologies.
  • Create and improve CI/CD pipelines, reusable deployment patterns, infrastructure automation, and Dev Sec Ops  workflows using tools such as Ansible, Terraform, Packer, or similar technologies.
  • Support geospatial visualization, 3D terrain/model visualization, imagery access, and map‑based analytic workflows using tools and frameworks such as Cesium, OMAR, or similar technologies.
  • Operationalize AI/ML models at scale through model integration, inference services, deployment automation, monitoring, and production support.
  • Troubleshoot complex issues across application code, Linux, containers, Kubernetes, CI/CD pipelines, APIs, networking, data services, and AI/ML‑enabled environments.
Minimum Qualifications
  • Bachelor’s degree in computer science, information systems, engineering, data science, geospatial science, or related area of study.
  • Minimum 8 years of experience with a Bachelor’s degree; or 7 years with a Master’s; or 6 years with a Doctorate.
  • Active/current TS/SCI with required polygraph; U.S. citizenship required; willingness to work onsite full time.
  • Strong experience developing production software using languages such as Python, Java, C++, JavaScript, Type Script, SQL, Bash, or similar languages.
  • Demonstrated experience supporting geospatial, imagery, AI/ML, data‑driven, or analytic applications.
  • Experience with Docker, Kubernetes, CI/CD pipelines, infrastructure automation, and containerized architectures in hybrid, on‑premises, virtualized, or classified environments.
  • Ability to work independently, research and evaluate technical approaches, implement solutions with minimal guidance, document decisions, and collaborate across technical teams.
Preferred Qualifications
  • Demonstrated experience supporting geospatial analytics, imagery systems, mapping platforms, earth observation, full‑motion video, EO/SAR, remote sensing, or related mission applications.
  • Experience developing geospatial services, data connectors, backend APIs, plugin architectures, image processing utilities, or analytic platform components.
  • Familiarity with 3D geospatial visualization, Cesium, OMAR image library, terrain/tileset services, imagery catalogs, or map‑based analytic applications.
  • Experience with computer vision, image/video processing, object detection, tracking, classification, segmentation, feature extraction, or model inference workflows.
  • Hands‑on experience with Apache Airflow, PostgreSQL/PostGIS, Elasticsearch, Trino/Presto, and other geospatial technologies.
  • Experience supporting model integration, ML pipelines, scalable inference services, NVIDIA Triton, data fusion, tipping and alerting, or production AI/ML runtime environments.
  • Experience with Rancher, RKE2, Open Shift, AWS, Azure, VMware vSphere, Hashi Corp Vault, Artifactory, Git Ops, Prometheus, Grafana, ELK/Open Search, CIS benchmarks, STIGs, ATO processes, or related tooling and…
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