Software Engineer Level 0 (Java - TS/SCI w/ Polygraph required)

A day in the life:

A day in the life:

We are seeking a motivated Software Engineer to support the design, development, integration, and sustainment of mission-critical geospatial applications and Java-based microservices that enable advanced mission operations.

This role provides an opportunity to contribute across the full software development lifecycle while working alongside experienced engineers to build scalable, high-performance solutions in a collaborative Agile environment.

The successful candidate will partner with cross-functional teams to translate technical requirements into software solutions, develop Java microservices for geospatial analysis and data processing, and integrate APIs and geospatial technologies to deliver new mission capabilities.

In addition to software development responsibilities, this position supports modern cloud-native architectures, containerized deployments, and continuous integration practices while contributing to the delivery of secure, reliable, and maintainable software solutions within a DevSecOps environment.

What you bring to the table:

• Bachelor's Degree in Computer Science, Software Engineering, or a related discipline. Four (4) additional years of relevant experience may be accepted in lieu of a degree.
• No professional software development experience required.
• Understanding of Java programming language and object-oriented software development principles.
• Familiarity with version control systems such as Git.
• Understanding of microservices architecture and modern software design principles.
• Familiarity with relational and NoSQL databases and their interactions.
• Ability to collaborate effectively with technical and non-technical stakeholders.
• Strong analytical, problem-solving, and troubleshooting skills with a willingness to learn new technologies.
• Active TS/SCI with Polygraph level of security clearance.

• Familiarity with geospatial tools and libraries such as GDAL, GeoTools, or similar technologies.
• Exposure to geospatial analysis, visualization, or data processing concepts.
• Foundational understanding of cloud platforms such as AWS and cloud-native application development.