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.
