Geospatial Platform Engineer

Geospatial Platform Engineer

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters—thewhere people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can shape your own future, build the next big thing, and change the world.

To be eligible for this position you must be a U.S. Citizen and hold an active U.S. Government security clearance at the TS/SCI level with required polygraph. Applicants who do not currently hold the required clearance will not be considered. Employment for cleared roles is contingent upon verification of clearance status.

• 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.

• Bachelor’s degree in computer science, information systems, engineering, data science, geospatial science, or related field.
• Minimum 8 years of experience with a Bachelor’s degree; or 7 years of experience with a Master’s degree; or 6 years of experience with a Doctoral degree.
• 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.

• 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 practices.

• Pay range for Washington, DC metropolitan area: $ - $ - $ annually.
• Location-based ranges vary for other states based on cost of labor.
• Benefits include a competitive 401(k) with company match, mental health resources, student loan repayment assistance, adoption reimbursement, pet insurance, and more.

Vantor is an equal opportunity employer committed to an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law. We also provide reasonable accommodations for applicants with disabilities in compliance with federal and state laws.