Applied Full Stack Software Engineer

Vantor

Herndon (VA)

On-site

USD 113,000 - 165,000

Full time

4 days ago
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Job summary

Vantor is seeking a seasoned software engineer for geospatial intelligence work in the Washington, DC metro area. The role requires U.S. citizenship and a current TS/SCI clearance with CI polygraph.

You will design scalable software across the full lifecycle, leveraging AWS/C2S cloud environments and containerized runtimes. You will lead small engineering teams, tackle complex data pipelines, and apply DevSecOps practices to deliver mission-critical solutions.

Qualifications

  • U.S. citizenship required and active TS/SCI clearance with CI polygraph.
  • Bachelor's degree in computer science or closely related discipline.
  • Minimum 5 years hands-on software development experience.
  • Proficiency in at least one multiparadigm language (Python, Java, Go, or Rust).
  • Experience extracting, transforming, visualizing and analyzing large datasets.
  • Experience designing and supporting cloud architectures (AWS and C2S).
  • Experience building and maintaining cloud-based applications.
  • Familiarity with Docker and Kubernetes in cloud or hybrid settings.
  • Strong Linux proficiency and ability to lead small engineering teams.
  • Familiarity with modern development tooling, DevSecOps, and CI/CD pipelines.
  • Preferred: AI-native software for geospatial data; NoSQL stores like Elasticsearch or MongoDB; geospatial trajectory processing and AI/ML models.

Responsibilities

  • Design and deliver scalable, mission-critical software solutions.
  • Participate in full development lifecycle from planning to maintenance.
  • Apply standards to produce high-quality, extensible software.
  • Use cloud technologies to extract, transform, and visualize geospatial and temporal datasets.
  • Develop analytics and derivative data products for meaningful insights.
  • Troubleshoot proactively and collaborate with diverse teams of engineers, clients, and end users.

Skills

US citizenship
TS/SCI clearance with CI polygraph
Software development (5+ years)
Python/Java/Go/Rust
Data extraction/transform/visualize
Cloud architectures (AWS, C2S)
Cloud applications
Docker & Kubernetes
Linux
Leadership of small teams
DevSecOps / CI/CD
Geospatial AI/ML or computer vision
NoSQL (Elasticsearch, MongoDB)

Education

Bachelor's degree in CS or related

Tools

Docker
Kubernetes
Elasticsearch
MongoDB

Job description

Requirements

Must have:
  • We require U.S. citizenship and an active TS/SCI security clearance, with willingness to pursue a CI polygraph.
  • We look for a bachelors degree in computer science or a closely related technical discipline.
  • We expect at least 5 years of hands‑on software development experience spanning design, development, and implementation.
  • We need proficiency in at least one multiparadigm programming language such as Python, Java, Go, or Rust.
  • We value experience with extracting, transforming, visualizing, and analyzing large datasets.
  • We require experience designing and supporting cloud architectures, including AWS and C2S environments.
  • We seek experience building and maintaining applications in cloud computing environments.
  • We require familiarity with containerization and orchestration tools such as Docker and Kubernetes in cloud or hybrid settings.
  • We expect strong capability in Linux-based environments.
  • We look for demonstrated ability to lead small engineering teams and to work effectively both independently and collaboratively.
  • We want a strong problem-solving mindset, adaptability, and the ability to apply emerging technologies to mission challenges.
  • We expect familiarity with modern development tooling, DevSecOps practices, and CI/CD pipelines.
  • Preferred: experience building AI-native software products that convert large‑scale geospatial data into actionable intelligence.
  • Preferred: experience with NoSQL data stores such as Elasticsearch, MongoDB, or similar systems.
  • Preferred: ability to thrive in a fast‑paced environment while managing multiple priorities.
  • Preferred: experience designing and implementing geospatial trajectory processing, forecasting, and visualization approaches.
  • Preferred: experience designing, developing, testing, and deploying AI/ML or computer vision models across varied data types.

Responsibilities:

  • We design and deliver efficient, adaptable solutions that can scale for mission‑critical applications.
  • We participate across the full development lifecycle, including planning, requirements definition, design, implementation, build, documentation, testing, deployment, and maintenance.
  • We apply software standards and development processes to produce high‑quality, extensible, maintainable solutions.
  • We use cloud technologies to extract, transform, manipulate, and visualize geospatial and temporal data sets.
  • We develop analytics and derivative data products that help users derive meaningful insights.
  • We take a proactive approach to troubleshooting and resolving technical issues.
  • We collaborate with diverse teams of engineers, clients, and end users.

Company:

We are Vantor, forging the new frontier of spatial intelligence and helping decision makers and operators understand what is happening now and anticipate what comes next. We offer a mission‑driven environment for problem solvers, changemakers, and go‑getters who want to shape their future, build meaningful technology, and make an impact. This role supports work across the full analytical workflow for geospatial intelligence, with a focus on large‑scale data processing, cloud‑based technologies, and emerging AI/ML techniques. This is a U.S.-based cleared position requiring TS/SCI access, and our compensation includes a base salary range for the Washington, DC metropolitan area of $113,000 to $165,000 annually, alongside a competitive total rewards package with a 401(k) match, mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance. We are an equal opportunity employer committed to an inclusive workplace.

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