CACI is seeking a Mid-Level Full-Stack Software Engineer to join their CNRFC N6 Enterprise Application Innovation team. This role involves participating in the design, development, testing, and deployment of solutions for Navy Reserve business systems, with a focus on full-stack web and mobile-responsive development, as well as machine learning and AWS cloud infrastructure support.
Responsibilities:
- Participate in end-to-end iterative design, development, testing, and deployment of solutions
- Work with business analysts, stakeholders, and other engineers to understand, define, and improve requirements
- Participate in all team Scrum ceremonies to include Sprint Planning, Retros and Daily Stand Ups
- Independently work assigned development tasks and create PRs for peer review
Requirements:
- Must be a U.S. Citizen with an active SECRET security clearance
- Bachelor's degree in computer science, Computer Engineering or related disciplines
- 5 years of relevant experience performing software development
- CompTIA Security+ certification (or equivalent), or ability to achieve within 6 months
- Experience in the following: (.NET (C#), ASP.NET, JavaScript, React, MS SQL Server)
- Experience with bug tracking systems (GitLab, GitHub, Jira, Azure DevOps)
- Experience with version control systems (Git preferred)
- Azure or AWS-based cloud development experience
- Experience developing in an Agile environment, leveraging Scrum and/or Kanban
- Proven ability to multi-task and prioritize accordingly, contributing to multiple assigned projects
- Ability to adapt quickly to an existing, complex environment
- Good understanding of business requirements and IT strategies
- Practical knowledge of software design patterns
- Experience developing business systems for the Department of Defense
- Experience building responsive web-applications suitable for use on Mobile devices
- Knowledge of Generative AI and common development patterns, tools, and techniques, including Large Language Models, Prompt Engineering, and Retrieval-Augmented Generation (RAG)