Junior​/Mid level Software engineer

Precise Software Solutions, Inc. is supporting the U.S. Food and Drug Administration (FDA) on a set of applications critical to administrative activities and data management within the agency.

We are seeking a motivated and detail-oriented Junior to Mid-Level Software Developer to join our agile development team. The developer will contribute to the design, development, testing, and maintenance of multiple applications. This position offers a strong growth opportunity for an early-career developer to build expertise in federal IT software development.

Must be USC/GC/EAD with ability to obtain a public trust clearance (Must have resided in the US for the last 3 yrs)

• The Junior (to Mid-Level) Software Developer will work under the direction of the Solution Architect and the Project's Management Team to support development and modernization activities including:
• Contributing to agile sprint-based development of maintenance, bug fixes, and new features for legacy applications that utilize Java, Prime Faces, ICEFaces, Cold Fusion, and Oracle SQL.
• Developing and maintaining RESTful APIs and microservices.
• Participating in the establishment and maintenance of CI/CD pipelines using Git Lab, Jenkins, and FDA-approved Dev Sec Ops  tooling, including infrastructure-as-code (IaC) and automated testing frameworks.
• Contributing to frontend development to support 508-compliant, responsive user interfaces for FDA users.
• Utilizing Basic Oracle SQL skills for development and for support database administration and development team members.
• Leveraging agency-approved Artificial Intelligence (AI) tools to assist in requirements analysis, code generation, automated testing, and documentation creation.
• Participating in code reviews, architecture design reviews, and peer reviews in accordance with FDA standards and FDA EPLC processes.
• Writing and updating clear and concise technical documentation, including user stories, acceptance criteria and other Federal documentation.
• Ensuring all developed software complies with Section 508 accessibility standards, secure coding best practices, and FDA security and privacy requirements.

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, a related field, or equivalent combination of education and experience.
• One to three years or more of hands-on software development experience, including internships, academic projects, or professional work.
• Proficiency in Java. Foundational understanding of RESTful API development and web services concepts.
• Ability to work in an Agile/Scrum development environment and contribute to sprint planning, daily stand-ups, and retrospectives.
• Strong communication skills and ability to collaborate effectively with cross-functional teams, including business analysts, testers, and government stakeholders.
• Solid grasp of core programming concepts (variables, loops, functions, data structures), familiarity with at least one or two languages/frameworks relevant to your stack, basic understanding of version control (Git), ability to read and understand existing code (not just write new code), some exposure to databases and basic SQL queries, and awareness of debugging techniques and how to troubleshoot errors.
• Willingness and eligibility to obtain a Tier 2 (Moderate Risk) background investigation and FDA Personal Identity Verification (PIV) Card. Must have resided in the United States for at least three of the past five years (required for background investigation eligibility).
• Demonstrated familiarity with Artificial Intelligence (AI) and AI-enabled development tools is strongly preferred for this position. The program mandates the use of agency-approved AI technologies throughout the development lifecycle to enhance efficiency, reduce timelines, and maintain quality standards. Candidates must be comfortable using AI tools to accelerate coding, perform automated code review, support intelligent debugging, and assist with predictive testing.
• Experience applying AI/ML algorithms for data validation, anomaly detection, or workflow optimization is expected. Candidates should also be prepared to document and track AI tool usage, including efficiency gains and cost savings, in accordance with program reporting requirements. Familiarity with Large Language Models (LLMs), AI-assisted requirements analysis, or automated test generation is a plus. All AI tools used on this contract must comply with FDA security requirements and integrate with…