Software Engineer

• Design, build, and operate large-scale Big Data systems, including persistence, partitioning, indexing, and search capabilities.
• Develop and maintain Java-based applications and APIs.
• Architect and implement cloud-native solutions using AWS or comparable cloud platforms.
• Design and optimize high-performance graph databases containing tens of billions of edges.
• Develop graph traversal capabilities using Apache TinkerPop, Gremlin, JanusGraph, or similar technologies.
• Build and maintain NoSQL and relational database solutions supporting complex Big Data applications.
• Design partition and sort key strategies to ensure consistent system performance.
• Develop aggregation operations to de-duplicate records across continuous data feeds.
• Build and operate serverless data processing pipelines using AWS Lambda, Step Functions, and PySpark.
• Design and operate large-scale geospatial indexing solutions using GeoMESA.
• Develop and maintain Kubernetes-based containerized environments.
• Implement DevSecOps and agile development practices in production environments.
• Maintain configuration management using Git-based repositories.
• Facilitate technical discussions across cross-functional teams to develop mission-aligned implementation strategies.
• Ensure compliance with federal security, regulatory, and accreditation requirements.
• Implement data security and governance controls including LDAP integration, encryption, and auditing.

Do you have experience in Technical solutions implementation?, * Active TS/SCI with Polygraph required.

• Bachelor's degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies, Engineering, or related field, or equivalent experience
• Demonstrated experience with Java development.
• Experience designing and operating Big Data systems.
• Experience developing and maintaining APIs.
• Experience designing cloud-native architectures using AWS or similar cloud platforms.
• Experience building and optimizing large-scale graph databases using technologies such as Cassandra, DynamoDB, Neo4j, or JanusGraph.
• Experience developing graph traversal capabilities using Apache TinkerPop and Gremlin.
• Experience designing and operating NoSQL solutions.
• Experience in data modeling, partition sharding, stream processing, and metrics gathering.
• Experience developing high-performance data processing pipelines.
• Experience with Kubernetes, Docker, and container orchestration.
• Experience with Apache NiFi.
• Experience implementing DevSecOps and agile methodologies.
• Experience with data security controls including encryption and centralized access management (LDAP).
• Experience working with structured, semi-structured, and unstructured data formats (CSV, JSON, AVRO, Parquet, Protocol Buffers, etc.).
• Experience with relational and NoSQL databases including PostgreSQL, MariaDB, MongoDB, Cassandra, ELK, MinIO, and AWS S3.
• Experience working in Linux environments such as CentOS or Rocky Linux.
• Experience with Python and related libraries.
• Experience supporting large collaboration and development environments