Job Description

Salary: $60,000 - 95,000 per year Requirements:

• Hands-on coding experience gained through coursework, personal projects, or internships.
• Solid grounding in data structures, algorithms, and web or backend fundamentals.
• Ability to learn quickly and contribute effectively in an Agile environment.
• Bachelors degree.
• U.S. citizenship.
• Willingness to work in a hybrid arrangement in Washington, D.C. or Virginia.
• Ability to pass a coding challenge, background check, and drug screening.
• Preferred: projects demonstrating AI-assisted development, such as AI-generated tests or AI-supported refactoring.
• Preferred: experience with cloud platforms, databases, or CI/CD.
• Preferred: interest in security, privacy, and handling sensitive information.

• Help drive adoption of AI-assisted DevSecOps practices, using large language models and automation tools to speed up secure containerization of legacy applications while maintaining compliance.
• Build and maintain AI-enabled CI/CD pipelines that generate security policies, container settings, and infrastructure-as-code templates based on application needs and best practices.
• Use AI coding assistants for implementation, refactoring, and documentation in line with team standards.
• Create unit and integration tests, increase coverage, and lower defect rates.
• Accelerate pull request reviews with AI-assisted summaries, risk notes, and review support.
• Use AI to search logs and documentation to troubleshoot issues and remove blockers.
• Work with product, design, security, and compliance partners to deliver production-ready increments.
• Contribute across the software development lifecycle in Java, Spring Boot, and microservices, from concept and design through testing and delivery of high-volume, low-latency applications.
• Take part in technical solutioning and design discussions.
• Perform proof-of-concept work and develop end-to-end solutions throughout the development lifecycle.
• Add new features while improving efficiency, reliability, and scalability to meet client needs.

• AI
• Backend
• Business Intelligence
• CI/CD
• Cloud
• DevSecOps
• Support
• Java
• Machine Learning
• Security
• Spring
• Spring Boot
• Web
• microservices
• API
• AWS
• Copilot
• Cursor
• Docker
• GCP
• GitHub
• NodeJS
• Python
• REST
• React
• SQL
• Windsurf
• gRPC

More:

We are a technology-focused company delivering talent across Full-Stack Engineering, Cloud, DevSecOps, Networking, Cyber Security, Artificial Intelligence, Business Intelligence, Data Science, and Machine Learning. We offer paid remote training for 10 weeks in realistic client environments, followed by deployment to our clients engineering team. The role is hybrid in Arlington, Virginia / Washington, D.C., and includes a paid biweekly stipend during training, benefits, health coverage, a matching 401(k), relocation reimbursement, paid time off, and an inclusive, collaborative culture. We also provide industry certifications and training designed to help you contribute quickly.

last updated 39 week of 2026

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