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—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 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.

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

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire.  If the job is reposted regardless of reason it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. 

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply submit your application via Vantor's Career page.

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.

What We Do

Vantor is forging the new frontier of spatial intelligence to unlock a more autonomous interoperable world. We empower decision makers and operators with the clarity they need to navigate what’s happening now and shape what’s coming next. Our AI-powered spatial intelligence platform fuses data from the world’s highest-resolution satellites with real-time sensor feeds from space air and ground to create the most accurate living digital replica of Earth.

Why Work With Us

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.

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