AI​/ML Systems

Required

• Bachelor's degree in Information Technology, Computer Science, Information Systems, or related technical field (or equivalent combination of education and experience). HS and 4+ years of relevant experience may be considered in lieu of degree
• Have 1+ years experience in application development, systems programming, database administration, or IT software support roles.
• Working knowledge of SQL for database administration, query development, and troubleshooting data integrity issues in live and test environments.
• Experience investigating and resolving application functionality issues with demonstrated ability to diagnose problems across application, infrastructure, and database layers.
• Familiarity with programming languages such as Python and JavaScript, with ability to provide minor programming for defect resolution.
• Experience producing technical documentation including operations guides, user guides, system specifications, and application procedures.
• Understanding of software development lifecycle (SDLC) and ability to participate in system design and functional specification development.
• Strong analytical skills with ability to assess data integrity, identify process improvement opportunities, and recommend application solutions.
• Basic knowledge of cloud computing platforms, particularly AWS services (EC2, S3, RDS, Lambda, Cloud Watch).
• Excellent written and verbal communication skills with ability to serve as liaison between technical and business teams.
• U.S. citizenship required.
• Ability to obtain a Secret security clearance.

• Experience with Postgre
  
  SQL database management, query optimization, and SQL administration in production environments.
• Hands‑on experience with AWS or AWS Gov Cloud environments including FedRAMP compliance requirements.
• Experience with frontend frameworks (React, Angular, Vue) and Python frameworks (Django, FastAPI) for web application development and automation.
• Understanding of Dev Sec Ops  practices, CI/CD pipelines, and containerization technologies (Docker, Kubernetes).
• Experience supporting or developing AI/ML platforms, analytics applications, or intelligence community tools with understanding of LLM‑based systems.
• Experience with version control systems (Git/Git Lab) and collaborative development workflows.
• Experience with monitoring and observability tools such as Cloud Watch, Grafana, or ELK stack.
• Active Secret clearance or higher with eligibility for TS/SCI.
• AWS Certified Cloud Practitioner, AWS Solutions Architect Associate, or comparable certification.

Peraton is seeking an AI/ML Systems Support professional to provide technical expertise in application support, systems administration, and customer support for the Integrated Realtime Information System (IRIS)—a cutting‑edge, AI‑powered decision‑support platform.

Location:

Reston, VA. Flexible for remote/telework – must be local to work location and able to come on site as needed.

• Support mission‑critical analytical capabilities for defense and intelligence customers by resolving user issues, coordinating application maintenance, and ensuring database and data integrity across the IRIS ecosystem.
• Evaluate enhancements to existing platform systems, facilitate defect resolution, write and maintain SQL queries in live and test environments, and produce technical documentation for IRIS applications.
• Apply strong software fundamentals and database management skills to translate evolving user requirements into application modifications.
• Work with advanced AI/ML technologies while contributing to customer satisfaction and product quality.
• Provide technical expertise and customer service for IRIS systems, including user account management, technical support requests, system diagnostics, and documentation updates.
• Investigate and resolve application functionality issues across the IRIS technology stack, including the web application layer, infrastructure layer (AWS Gov Cloud IL5/IL6, AWS commercial), and data integration layer.
• Coordinate technical support operations, documenting system workflows and troubleshooting procedures for issues such as AI/ML feature functionality and data‑pipeline performance…