Geospatial Platform Engineer

Vantor Inc.; McLean (VA); On-site; USD 137,000 - 200,200; Full time

Benefits offered by this job

401(k) with company match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Job summary

Vantor Inc. is seeking a Geospatial Platform Engineer in McLean, Virginia to support geospatial and AI/ML applications. The ideal candidate will have a bachelor's degree and at least 8 years of experience in software development. Responsibilities include developing backend services, designing containerized architectures, and deploying AI/ML models.

Applicants must have an active TS/SCI security clearance and demonstrate expertise in technologies such as Docker, Kubernetes, and various programming languages. Benefits include a comprehensive rewards package and a commitment to an inclusive work environment.

Qualifications

• Bachelor's degree in computer science, information systems, or related area.
• Minimum 8 years of experience or equivalent with relevant degrees.
• Active/current TS/SCI clearance required for work onsite.
• Strong experience with production software in programming languages.
• Demonstrated experience in supporting geospatial or AI/ML applications.

Responsibilities

• Develop and integrate backend services and APIs for workflows.
• Design and maintain containerized application architectures.
• Create and improve CI/CD pipelines and automation workflows.
• Operationalize AI/ML models through deployment automation.
• Troubleshoot complex issues across various technology areas.

Skills

Software development

Geospatial analytics

AI/ML applications

Containerization

CI/CD practices

Education

Bachelor's degree in computer science or related field

Tools

Docker

Kubernetes

Python

Java

Terraform

Job description

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.

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).

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 DevSecOps 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 DevSecOps 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, TypeScript, 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, OpenShift, AWS, Azure, VMware vSphere, HashiCorp Vault, Artifactory, GitOps, Prometheus, Grafana, ELK/OpenSearch, CIS benchmarks, STIGs, ATO processes, or related tooling and practices.

Pay Transparency

To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role.

The base pay for this position within the Washington, DC metropolitan area is: $137,000.00 - $182,000.00 - $200,200.00 annually.

For all other states, we use geographic cost of labor as an input to develop market‑driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits

Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at https://www.Vantor.com/careers

EEO Policy

Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. 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.