Applied Full Stack Software Engineer

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.