Backend Engineer Security Clearance

Role Overview

Pelagic AI, LLC is seeking a Backend Engineer (Mid‑Level / Senior) to support the development, integration, and deployment of advanced intelligence capabilities into test and operational environments.

As a member of a project team, you will configure and maintain backend systems, integrate various tools, and update core codebases. The role requires strong expertise in Java, Geo Server technologies, and experience with pipeline integration and deployment.

• Lead and execute the migration of codebases from Java 8 to Java 17, including extraction of hard‑coded properties for improved flexibility.
• Integrate and deploy backend pipelines, including Jenkins, across multiple environments.
• Work with Geo Server to handle geospatial data and ensure proper backend functionality.
• Collaborate with teams to optimize performance, maintain databases, and streamline backend infrastructure across different network environments.
• Ensure smooth integration and communication between backend systems and other components within the operational infrastructure.

• Current or active TS/SCI clearance with a willingness to obtain a CI polygraph.
• Hands‑on role in backend system integration, deployment, and maintenance.
• Bachelor’s degree in Computer Science, Information Systems, or related discipline (or equivalent experience).
• 7+ years of experience in backend engineering, with strong expertise in Java, especially experience migrating from Java 8 to Java 17.
• Hands‑on experience with pipeline integration and deployment using Jenkins.
• Experience with Geo Server and geospatial data integration.
• Familiarity with databases such as Postgre
  
  SQL and Mongo
  
  DB.
• Experience working in an Agile environment.
• Willingness to work on‑site.

• Experience with NiFi configuration, workflow development, and deployment.
• Experience with cloud infrastructures and integrating backend systems in hybrid cloud environments.
• Proficiency in Python for scripting, data processing, and automation tasks.
• Understanding of machine learning pipelines and their integration into backend systems.
• Experience with Docker for containerization and deployment in multi‑environment systems.
• Ability to guide teams in adopting and optimizing backend technologies for large‑scale operations.

• Competitive salary range: $140,000 to $210,000 per year, dependent on relevant professional skills and experience.
• Cash and strategic incentives, professional development, and comprehensive benefits package.
• 401(k) matching up to 3% with company contribution, discretionary profit sharing, and health coverage (medical, dental, vision).
• Flexible spending accounts, dependent care assistance, disability insurance, and term life insurance.
• Generous paid time‑off, employee incentive program, internal investment projects, spot bonuses, and recruiting bonuses.