A seasoned Java Full Stack Engineer with strong AWS cloud experience and proficiency in integrating AI-powered coding tools to accelerate development, improve code quality, and enhance productivity. Skilled in building scalable applications, managing cloud-native infrastructure, and implementing robust CI/CD pipelines. Brings hands-on experience with AI code assistants (e.g., GitHub Copilot, AWS CodeWhisperer, OpenAI Codex) to support intelligent code generation, testing, refactoring, and documentation.
Core Technical Skills:
Backend (Java)
- Java 8/11/17+, Spring Boot, Spring Cloud, Spring Security
- RESTful API design, Microservices architecture
- API Gateway, JWT/OAuth2 authentication
- JPA/Hibernate, validation, logging frameworks (Logback, SLF4J)
Frontend
- React.js / Angular
- TypeScript, JavaScript (ES6+), HTML5, CSS3
- REST/WebSocket integration, Component-driven UI design
- Frontend unit testing (Jest, Cypress)
AWS Cloud
- Compute: EC2, Lambda, Elastic Beanstalk
- Networking: VPC, API Gateway, CloudFront, Route 53
- Storage: S3, EFS
- Databases: RDS (PostgreSQL/MySQL), DynamoDB
- AI Services: Amazon CodeWhisperer, Amazon Lex, Comprehend, Rekognition
- IAM/Cognito for identity and access management
AI Coding Tooling Experience
- GitHub Copilot: Used for real-time code suggestions, test generation, and refactoring
- AWS CodeWhisperer: Assisted in writing Java, Python, and infrastructure as code (IaC)
- OpenAI Codex or GPT: Integrated AI for code explanations, documentation generation, and template scaffolding
- Custom AI tools used for static code analysis and secure coding guidance
🛠️ CI/CD and DevOps
- CI/CD Tools: GitHub Actions, GitLab CI/CD, Jenkins, AWS CodePipeline
- Containerization: Docker, ECS, Fargate
- Infrastructure as Code: CloudFormation, Terraform (optional)
Key Skills
Ranked by relevance
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- Posted
- May 25, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Melbourne
- Company
- Synechron
Industries
Categories
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