AI Engineer-Java
Apollo
Tysons, United States of America
6 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Tysons, United States of America
Tech stack
Java
Artificial Intelligence
Amazon Web Services (AWS)
Cloud Computing
Cloud Engineering
Software Quality
Programming Tools
Software Deployment
Software Engineering
Software Systems
Enterprise Software Applications
Application Enhancement Tool
Spring Cloud
GitHub Copilot
Spring-boot
Backend
Build Management
Containerization
REST
Serverless Computing
Microservices
Job description
We are seeking a Backend Software Engineer with strong experience in Java, Spring Boot, and AWS to build and scale cloud-native applications in a modern engineering environment. This role is focused on developing high-quality backend services while leveraging AI-powered development tools to improve productivity, code quality, and delivery speed. You will play a key role in building scalable systems while helping drive adoption of AI-assisted development practices across the team., * Building modern, cloud-native backend services using Java and AWS
- Working in an environment that is actively embracing AI-assisted software development (e.g., Copilot, Kiro, AI coding tools)
- Opportunity to influence how AI is integrated into the software development lifecycle
- Collaborating with forward-thinking teams focused on improving engineering productivity and efficiency
- Exposure to evolving development practices that combine traditional engineering with AI-driven workflows
- Contributing to scalable, enterprise-level systems with real business impact, * Design, develop, and maintain scalable backend services using Java and Spring Boot
- Build and deploy applications within AWS cloud environments
- Develop and integrate REST APIs and microservices supporting enterprise applications
- Collaborate with cross-functional teams to deliver high-quality, reliable software solutions
- Leverage AI-powered tools to improve development speed, code quality, and efficiency
- Contribute to the adoption of AI-enabled development practices across the engineering team
- Participate in architectural discussions and help define best practices for cloud-native development
- Ensure performance, scalability, and reliability of backend systems in production
Requirements
- Strong experience with Java and Spring Boot for backend development
- Hands-on experience building and deploying applications in AWS environments
- Experience designing and developing RESTful APIs and microservices
- Familiarity with cloud-native architecture patterns, including containerization or serverless
- Experience with CI/CD pipelines and modern development practices
- Exposure to or interest in using AI-powered development tools (e.g., GitHub Copilot, AI-assisted coding tools)
- Understanding of how AI can enhance developer productivity and software delivery
- Strong problem-solving skills and ability to work in a fast-paced, evolving environment