Geospatial Platform Engineer; TS​/SCI FS Poly

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—where 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.

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).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level with required polygraph.

We are seeking a Geospatial Platform Engineer to support geospatial, imagery, AI/ML, and data-driven application development, deployment, and operations. This role will focus 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.

The ideal candidate is a self-directed engineer with demonstrated experience developing and supporting geospatial, imagery, AI/ML, or analytic applications in secure hybrid environments, including cloud, on-premises, virtualized, and classified infrastructure. This person should be comfortable researching unfamiliar technologies, implementing solutions with minimal guidance, and collaborating across software, AI/ML, cloud, security, and mission teams.

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 of experience with a Master’s degree; or 6 years of experience with a Doctorate.
• Active/current TS/SCI with required polygraph; US 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…