We are seeking a skilled and motivated Software Engineer to join our team in developing cutting-edge geospatial analysis, ETL (Extract, Transform, Load), and visualization microservices to support mission-focused systems. As a Software Engineer, you will play a crucial role in designing, implementing, and maintaining scalable and performant Java-based microservices that interact with both relational and NoSQL databases. Your work will contribute to enhancing the capabilities of our geospatial data processing and visualization tools, enabling better decision-making for mission-critical applications. The software engineers are responsible for:

· Collaborating with cross-functional teams to gather and understand requirements.
· Designing and developing Java microservices with a focus on geospatial data processing, visualization and analysis.
· Implementing and maintaining scalable and high-performance solutions.
· Working with external APIs and libraries to integrate geospatial functionality into services.

Key Technologies Used: · Java/Spring · Linux/Windows · ElasticSearch · MySQL/PostGreSQL · AWS · Kubernetes · Docker

Required Qualifications: 
· TS/SCI with Polygraph
· No demonstrated experience required, however experience with Java or a similar language is desired.
· Bachelor's or higher degree in Computer Science, Software Engineering, or a related field. Four (4) years of additional experience may be substituted for a bachelor’s degree.
· Understanding of the Java programming language.
· Understanding of microservices architecture and design principles.
· Familiarity with relational and NoSQL databases and their interactions.
· Excellent problem-solving skills and ability to work in a collaborative team environment.
· Effective communication skills for both technical and non-technical audiences.
· Self-motivated and able to manage multiple tasks and priorities effectively.

Desired Qualifications:
· Experience with geospatial libraries and tools (e.g., GDAL, GeoTools).
· Knowledge of cloud platforms such as AWS
· Exposure to containerization technologies (Docker, Kubernetes).
· Familiarity with version control systems (e.g., Git