Senior Software Engineer Jobs

About The Position

Requirements

• At least 10 years experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer, IT specialist, machine learning engineer, software engineer, or system administrator.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
• Expert programming skills in Python
• Intermediate programming skills in Rust or Go
• Experience designing or normalizing tactical data to common standards
• Experience with multiple data formats, e.g., CSV, JSON, XML, Parquet, ORC.
• Familiarity with event streaming libraries and platforms, e.g., Apache Kafka, AWS Kinesis, RabbitMQ, ZeroMQ, or Zenoh.
• Experience with troubleshooting tactical systems
• Experience deploying, monitoring, and improving tactical data pipelines
• Strong problem-solving and analytical skills.
• Passion for staying updated with the latest advancements in tactical data architecture.
• Excellent communication skills and the ability to work effectively in a collaborative team environment.
• Must have current/active Secret security clearance.
• U.S. Citizenship is required.

Nice To Haves

• Experience integrating systems with Tactical Assault Kit (TAK) ecosystem.
• Familiarity with data pipeline frameworks and libraries, e.g., AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake.
• Experience with adding and retrieving data from Geographic Information Systems (GIS), e.g., ArcGIS, PostGIS.
• Expertise in Elasticsearch, Redis, S3, PostgreSQL, or other data stores.
• Understanding of cybersecurity principles in the context of tactical applications.
• Previous experience working with government agencies or military organizations.
• Master of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics

Responsibilities

• Collaborate with cross-functional teams to understand and address the Navy's operational challenges integrating artificial intelligence into expeditionary systems.
• Design, develop, and implement software for tactical applications
• Test software at field experiments to ensure performant and high-quality data flow between tactical systems, including sensors, UxS, and C2
• Collaborate with machine learning engineers and domain experts to analyze data and integrate machine learning solutions into existing systems.
• Collaborate with data engineers to monitor data pipelines and analytics to ensure accuracy, reliability, and robustness.
• Stay updated with the latest advancements in data architecture to propose and implement innovative solutions.
• Work closely with systems engineers to connect data pipelines with operational systems
• Provide technical expertise and contribute to the development of long-term technology strategies within the Department of the Navy.

Benefits

• health insurance
• life and accidental death and dismemberment coverage
• disability insurance
• retirement plans
• holiday pay
• employee-managed leave
• professional growth opportunities