Mid-level Full Stack Developer (Java/Spring)

Be Challenged and Make a Difference 

 

In a world of technology, people make the difference. We believe if we invest in great people, then great things will happen. At AnaVation, we provide unmatched value to our customers and employees through innovative solutions and an engaging culture. 

Description of Task to be Performed:

We are seeking a motivated Mid-level Full Stack Developer to join our growing technical team supporting the development of digital evidence management system. The ideal candidate will have hands-on experience working with Java, JavaScript/TypeScript, and SQL, and be eager to contribute to building scalable, data-driven applications that support critical business and mission objectives. You’ll collaborate with cross-functional teams to design, develop, and APIs, UIs, data management services and analytical tools

This position supports 80% remote work with one day per week in Chantilly, VA or Woodbridge VA.

The candidate will be required to pass a high-risk public trust background investigation

Position Responsibilities:

• Develop and implement capabilities to support the intake, analysis, processing, management, and visualization of digital evidence
  • Develop custom software components, data processing pipelines, and analytical modules to extend or enhance digital evidence handling capabilities.
  • Ensure integrations and developments improve digital evidence data management, analytical efficiency, automation, and exploitation performance.
  • Provide technical documentation, configuration support, and knowledge transfer to maintain system interoperability, reliability, and scalability.
• Collaborate with product and data teams to align data solutions with mission requirements, use cases, and end-user experience goals.
• Participate in Agile development cycles, including sprint planning, code reviews, and daily stand-ups.
• Assist in implementing DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines. 
• Contribute to containerized environments using Docker, Kubernetes, or similar technologies.