Integration Software Engineer

T-Rex Solutions•Fort Meade, MD

6h•$170,000 - $210,000•Onsite

About The Position

The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real time systems, and business management information systems) based upon documented requirements. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components. The Agentic AI ICAM Integration Software Engineer will drive the extension of enterprise identity and access management services for Agentic AI workflows. Leveraging full-stack development expertise with Python, Java, Spring Boot, ReactJS, and REST services, the engineer will prototype, design, and implement scalable security solutions. This role demands a comprehensive approach to developing robust AI agent interaction protocols by working across development teams. Emphasis will focus on maintaining verifiable and compliant access management systems that integrate seamlessly with existing enterprise architectures. Working closely with senior system engineers, the software engineer will be responsible for implementing security mechanisms that enable safe and controlled Agentic AI workflow integrations.

Requirements

Active TS/SCI w/ FSP
Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or a related discipline from an accredited college or university, or 4 years of additional experience may be substituted for a bachelor’s degree (total of 7 years).
Bachelor's Degree or higher in computer engineering or in a field related to computer engineering or computer science disciplines, or 4 years of Software Engineering experience may be substituted for the degree (total of 9 years).
5+ years of Software Engineering experience
2 years of work experience in the SIGINT, IA, or IT domains

Nice To Haves

Familiarity with PKI encryption and authentication protocols
Demonstrated Python, Java, and Spring Boot software development proficiency
Experience designing and implementing REST services using JSON
Full life cycle front-end and back-end application development expertise
Demonstrated containerization and cloud infrastructure skills
Linux environment and bash scripting proficiency
Demonstrated version control and build tool expertise
Experienced with Atlassian team collaboration tools (Jira, Confluence)
Knowledge of Agentic workflow architectures, AI agents, and MCP servers
Agentic AI frameworks (Pydantic, Crew.ai, LangChain, etc.) a plus

Responsibilities

Develops, maintains, and enhances complex and diverse software systems.
Works individually or as part of a team.
Reviews and tests software components for adherence to design requirements and documents test results.
Resolves software problem reports.
Utilizes software development and software design methodologies.
Provides specific input to the software components of system design.
Drives the extension of enterprise identity and access management services for Agentic AI workflows.
Leverages full-stack development expertise with Python, Java, Spring Boot, ReactJS, and REST services.
Prototypes, designs, and implements scalable security solutions.
Develops robust AI agent interaction protocols by working across development teams.
Maintains verifiable and compliant access management systems that integrate seamlessly with existing enterprise architectures.
Implements security mechanisms that enable safe and controlled Agentic AI workflow integrations.