As a Senior Full Stack Developer, you will work with a team of developers to deliver software features, APIs, and micro-service solutions in an AI-enabled software development environment. We are looking for candidates with 5-7 years of experience writing software using Agile and DevSecOps methods such as build/release management, CI/CD practices, and test automation.
Responsibilities include:
- Design, develop, and deploy micro-services and cloud-based systems using Java / React
- Collaborate with stakeholders, designers and businesses analysts to refine requirements
- Troubleshoot software quality, security, and reliability issues
- Participate in code reviews and quality assurance
- Automate unit and functional tests
- Identify technical problems, perform root cause analysis, and develop updates and fixes
- Support debugging, troubleshooting, and testing of software
- Document software code, features, and training guides
- Use virtualization and containerization to optimize software systems
- Implement solutions and provide continuous improvement recommendations
- Present technical solutions and demos to a variety of stakeholders
Required:
- Ability to hold a position of public trust with the U.S. government
- Bachelor’s Degree and 8+ years of experience
- 5+ years of experience with front end and backend software development languages like Java and React
- Experience developing software with cloud native services or APIs
- 3+ eears of experience using CI/CD pipelines with tools such as Jenkins or GitHub Pipelines
- Experience developing in and implementing docker containers
- Experience implementing automated testing frameworks including unit testing
Preferred:
- Exposure to multiple cloud platforms (e.g., AWS, Azure, GCP) is a plus
- Experience supporting technical demonstrations or tech challenges
- 5+ years of application development in an Agile environment
- Excellent written and verbal communication skills
- Strong interpersonal and collaborative skills
- Demonstrated experience using AI-assisted development tools and machine learning–based code generation platforms to accelerate secure software delivery pipelines across cloud-native environments
- Proven ability to integrate AI-powered code generation and testing tools into software delivery workflows, mentoring teams on improving productivity and code quality using emerging AI technologies.