AI Engineer-Java

Apollo

Tysons, VA, United States

3 months ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Cloud Computing Cloud Engineering Software Quality Programming Tools Software Deployment Software Engineering Software Systems Enterprise Software Applications Application Enhancement Tool

+9 more

Spring Cloud GitHub Copilot Spring-boot Backend Build Management Containerization Restful APIs 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