Geospatial Platform Engineer

We are Vantor, a company building the next frontier of spatial intelligence to help decision makers and operators understand what is happening now and anticipate what comes next. We offer a mission-driven environment for problem solvers and changemakers who want to shape their future and help create meaningful impact. This role requires U.S. citizenship, an active TS/SCI clearance with polygraph, and full-time onsite work. We provide a competitive total rewards package that includes a robust 401(k) with company match, mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance. We are committed to an inclusive workplace and welcome qualified applicants from all backgrounds.

- We require a bachelors degree in computer science, information systems, engineering, data science, geospatial science, or a closely related field.
- We expect at least 8 years of experience with a bachelors degree, 7 years with a masters degree, or 6 years with a doctorate.
- We require an active TS/SCI clearance with polygraph, U.S. citizenship, and the ability to work onsite full time.
- We need strong production development experience with languages such as Python, Java, C++, JavaScript, TypeScript, SQL, Bash, or similar.
- We look for proven experience supporting geospatial, imagery, AI/ML, data-driven, or analytical applications.
- We require experience with Docker, Kubernetes, CI/CD pipelines, infrastructure automation, and containerized environments in hybrid, on-premises, virtualized, or classified settings.
- We expect the ability to work independently, evaluate technical options, implement solutions with limited direction, document decisions, and partner across technical teams.
- Preferred experience includes geospatial analytics, imagery systems, mapping platforms, earth observation, full-motion video, EO/SAR, remote sensing, or related mission applications.
- Preferred experience includes geospatial services, data connectors, backend APIs, plugin frameworks, image processing utilities, or analytic platform components.
- Preferred familiarity with 3D geospatial visualization, Cesium, OMAR, terrain or tileset services, imagery catalogs, or map-based analytic applications.
- Preferred experience with computer vision, image or video processing, object detection, tracking, classification, segmentation, feature extraction, or model inference workflows.
- Preferred hands-on experience with Apache Airflow, PostgreSQL/PostGIS, Elasticsearch, Trino/Presto, and other geospatial technologies.
- Preferred experience supporting model integration, ML pipelines, scalable inference services, NVIDIA Triton, data fusion, tipping and alerting, or production AI/ML runtime environments.
- Preferred experience with Rancher, RKE2, OpenShift, AWS, Azure, VMware vSphere, HashiCorp Vault, Artifactory, GitOps, Prometheus, Grafana, ELK/OpenSearch, CIS benchmarks, STIGs, ATO processes, or related tooling and practices.

- We develop and integrate backend services, APIs, data connectors, plugins, and platform components that power geospatial, imagery, AI/ML, and analytic workflows.
- We build data ingestion, enrichment, transformation, indexing, alerting, API, and analytic service components for mission-focused applications.
- We design, deploy, and maintain containerized application architectures using Docker, Kubernetes, Rancher, RKE2, or similar technologies.
- We create and enhance CI/CD pipelines, reusable deployment patterns, infrastructure automation, and DevSecOps workflows using tools such as Ansible, Terraform, Packer, or similar technologies.
- We support geospatial visualization, 3D terrain and model visualization, imagery access, and map-based analytic workflows using tools and frameworks such as Cesium and OMAR.
- We operationalize AI/ML models at scale through model integration, inference services, deployment automation, monitoring, and production support.
- We troubleshoot complex issues across application code, Linux, containers, Kubernetes, CI/CD pipelines, APIs, networking, data services, and AI/ML-enabled environments.