Software Engineer - Data Analytics Team

Job Summary

SEACORP is seeking Software Engineers at all experience levels, including new and recent college graduates, to build mission-critical software for the U.S. Navy. Your code will go to sea. As a Software Engineer at SEACORP, you will help design, build, and test the software and data systems behind the Submarine Warfare Federated Tactical Systems (SWFTS) program: the integrated combat system used across the U.S. Navy submarine fleet. You will join a multidisciplinary team of SEACORP and government engineers who develop the services that move, store, and deliver data for some of the most advanced platforms in the world.

Job Responsibilities

• Design, code, test, integrate, and document software solutions in languages such as Java, Python, and C++.
• Develop databases, middleware, APIs, and prototypes in support of Navy data systems.
• Work on problems with defined scope, schedule, and expectations.
• Participate in an Agile team, consisting of daily scrums, two-week sprints, quarterly program increments, demonstrations, and retrospectives.
• Use professional engineering tools, including Git, Linux, and the Atlassian suite (Jira, Confluence, etc).
• Learn modern data, cloud, and AI-assisted development technologies on the job, with guidance from the team that runs them.

Qualifications

• Education:

  Software Engineer I, II, III - Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field. Graduating seniors and recent graduates are encouraged to apply.

• Experience:

  Software Engineer I - 0 Years Of Experience Required
  Software Engineer II - 3 years of experience required
  Software Engineer III & IV - 10 years of experience required.

Required Experience

• Ability to program in at least one general-purpose language such as Java, Python, or C++
• Ability to learn new technologies quickly, and a genuine interest in doing so.
• Able to collaborate with others while handling independent tasking.
• Clear written and verbal communication.
• Exposure to SQL or NoSQL databases such as PostgreSQL or MongoDB.
• Coursework or project experience with REST APIs, containers (Docker, Kubernetes), or data frameworks (Kafka, Spark).
• Willingness to learn and experiment with new technologies and platforms.

Desired Experience

• Familiarity with Git, Linux, or Atlassian tools (Jira, Confluence).
• Internship, co-op, capstone, research, or open-source experience.
• Experience with AI-assisted development tools such as VS Code AI extensions, Cursor, or Claude Code.

Exceptional Qualifications

• Hands-on experience in any of the following will make a candidate stand out, though none are required: distributed data platforms (Kafka, Spark, Iceberg, Trino), object storage (S3, Ceph), Kubernetes and cloud-native infrastructure, or integrating AI/ML capabilities into applications.