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write a jd for Java Backend Engineer Spring Boot & AWS, AIDLC with AWS Kiro

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Below is a professional, ready-to-use Job Description (JD) for a Java Backend Engineer – Spring Boot, AWS & AI-Driven Development Lifecycle (AIDLC) with AWS Kiro. It is suitable for experienced engineers working on modern, cloud-native enterprise applications.
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Job Description: Java Backend Engineer – Spring Boot, AWS & AIDLC (AWS Kiro)

Job Title: Java Backend Engineer
Technology Stack: Java, Spring Boot, Microservices, AWS, AWS Kiro, AIDLC
Experience: 4–8 Years
Job Type: Full-time
Location: [Specify Location]

Role Overview

We are looking for a skilled Java Backend Engineer with strong expertise in Java, Spring Boot, Microservices, and AWS cloud services. The ideal candidate should have hands-on experience in designing, developing, and deploying scalable, secure, and high-performance backend applications.

The candidate will also leverage AI-Driven Development Lifecycle (AIDLC) practices and AWS Kiro, an AI-powered IDE, to accelerate software development, improve engineering productivity, automate repetitive development tasks, and maintain high-quality software delivery standards.

The role requires a strong understanding of backend engineering fundamentals, cloud-native architecture, API development, and AI-assisted software engineering.

Key Responsibilities

1. Backend Development

- Design, develop, and maintain scalable backend applications using Java and Spring Boot.
- Build RESTful APIs and microservices following industry best practices.
- Implement business logic, data processing, exception handling, and application security.
- Develop reusable, modular, and maintainable backend components.
- Optimize application performance, scalability, and reliability.

2. AWS Cloud & Microservices

- Design and deploy cloud-native applications using AWS services.
- Work with AWS services such as:
- AWS Lambda
- Amazon API Gateway
- Amazon ECS / EKS
- Amazon S3
- Amazon RDS
- Amazon DynamoDB
- Amazon SQS / SNS
- Amazon CloudWatch
- AWS IAM

- Implement secure and scalable integrations between backend services and AWS components.
- Work with containerization and orchestration technologies such as Docker and Kubernetes.
- Implement CI/CD pipelines and cloud deployment automation.

3. AI-Driven Development Lifecycle (AIDLC)

- Adopt AI-Driven Development Lifecycle practices across requirement analysis, design, development, testing, and deployment.
- Use AI-assisted development tools to improve productivity, code quality, and delivery speed.
- Leverage AWS Kiro for specification-driven development, requirements definition, technical design, and implementation planning.
- Use Kiro's Specs, Steering, and Hooks capabilities to establish structured AI-assisted engineering workflows.
- Convert business requirements into clear technical specifications and actionable development tasks.
- Use AI-assisted code generation, refactoring, documentation, and test case generation.
- Review and validate AI-generated code to ensure security, correctness, maintainability, and performance.
- Apply human-in-the-loop validation throughout the development lifecycle.

4. Database & Integration





- Work with relational databases such as PostgreSQL, MySQL, or Oracle.
- Develop efficient SQL queries, database schemas, and stored procedures.
- Experience with NoSQL databases such as DynamoDB or MongoDB.
- Implement database integration using Spring Data JPA and Hibernate.
- Design asynchronous communication and event-driven integrations.

5. Testing, Quality & DevOps

- Write unit and integration tests using JUnit and Mockito.
- Implement API testing using Postman or similar tools.
- Follow clean code principles, SOLID principles, and design patterns.
- Participate in code reviews and technical design discussions.
- Implement application monitoring, logging, and troubleshooting.
- Collaborate with DevOps teams for CI/CD, deployments, and production support.

Required Technical Skills

Skill AreaRequired SkillsProgrammingJava 11/17/21, OOP, Collections, MultithreadingBackend FrameworkSpring Boot, Spring MVC, Spring Security, Spring Data JPAArchitectureMicroservices, REST APIs, Event-Driven ArchitectureCloudAWS Lambda, API Gateway, S3, RDS, ECS/EKS, SQS, SNSAI DevelopmentAIDLC, AWS Kiro, AI-assisted codingDatabasePostgreSQL, MySQL, Oracle, DynamoDBTestingJUnit, Mockito, Integration TestingDevOpsGit, Maven/Gradle, Docker, CI/CDMonitoringAWS CloudWatch, Logging, Application MonitoringToolsIntelliJ IDEA / VS Code, Postman, GitHub

Required Qualifications

- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 4–8 years of hands-on experience in Java backend development.
- Strong experience in Java and Spring Boot application development.
- Practical experience in building and deploying REST APIs and microservices.
- Good understanding of AWS cloud architecture and services.
- Hands-on experience with AI-assisted software development tools.
- Familiarity with AWS Kiro and specification-driven development is highly desirable.
- Strong debugging, problem-solving, and analytical skills.
- Ability to work independently and collaboratively in an Agile environment.

Good to Have

- AWS Certified Developer – Associate or AWS Solutions Architect certification.
- Experience with event-driven and serverless architectures.
- Familiarity with infrastructure as code (Terraform / AWS CDK / CloudFormation).
- Experience with GitHub Copilot, Amazon Q Developer, or similar AI coding assistants.
- Knowledge of secure software development practices and OWASP guidelines.
- Experience implementing AI-assisted SDLC workflows.

Expected Outcomes

- Deliver scalable and reliable Java Spring Boot backend services.
- Build and deploy cloud-native applications on AWS.
- Adopt AIDLC practices to improve engineering productivity and software delivery.
- Use AWS Kiro to streamline specification-driven development and engineering workflows.
- Maintain high standards of code quality, security, test coverage, and documentation.




- Contribute to continuous improvement of development processes and engineering practices.

Keywords: Java, Spring Boot, Microservices, AWS, AWS Kiro, AIDLC, AI-Driven Development, REST API, AWS Lambda, API Gateway, ECS, EKS, Docker, Kubernetes, PostgreSQL, DynamoDB, JUnit, Mockito, CI/CD, Cloud-Native Development.

Recommended hiring focus

For this position, I recommend assessing candidates across these four areas:

1. Core Java & Spring Boot – 35%: Strong backend fundamentals, microservices, API design, and performance.
2. AWS & Cloud Architecture – 25%: Practical implementation and deployment experience.
3. AIDLC & AWS Kiro – 25%: Ability to use AI-driven, specification-first workflows rather than just AI-based code completion.
4. Testing & Engineering Practices – 15%: Automation, security, code reviews, and production readiness.

One important hiring distinction: AWS Kiro experience should ideally include hands-on use of Specs, Steering, and Hooks, not merely familiarity with AI coding assistants.

I can also create a more concise, recruiter-friendly JD suitable for posting on LinkedIn and Naukri.

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- You said:
write in short
- ChatGPT said:
Writing

Job Description: Java Backend Engineer – Spring Boot, AWS & AIDLC

Experience: 4–8 Years

Role Overview

We are looking for an experienced Java Backend Engineer with strong expertise in Java, Spring Boot, Microservices, and AWS. The candidate should have experience in developing scalable backend applications and an understanding of AI-Driven Development Lifecycle (AIDLC) using AWS Kiro.

Key Responsibilities

- Design, develop, and maintain backend applications using Java and Spring Boot.
- Build REST APIs and microservices-based applications.
- Develop and deploy cloud-native applications using AWS services.
- Work with AWS services such as Lambda, API Gateway, S3, RDS, SQS, SNS, and ECS/EKS.
- Leverage AWS Kiro for AI-assisted and specification-driven software development.
- Apply AIDLC practices across requirement analysis, design, coding, testing, and documentation.
- Use AI tools for code generation, refactoring, test automation, and productivity improvement.
- Write unit and integration tests and ensure code quality and application security.
- Collaborate with cross-functional teams in an Agile environment.

Required Skills

- Strong proficiency in Java 11/17/21 and Spring Boot.
- Hands-on experience with Microservices and REST API development.
- Valuable understanding of AWS cloud services and architecture.
- Experience with SQL/NoSQL databases such as PostgreSQL, MySQL, or DynamoDB.
- Knowledge of Docker, Git, Maven/Gradle, and CI/CD.
- Experience with JUnit and Mockito.
- Familiarity with AIDLC and AI-assisted development tools.
- Hands-on experience with AWS Kiro (Specs, Steering, and Hooks) is preferred.

Good to Have

- AWS certification.
- Experience with Kubernetes and event-driven architecture.
- Knowledge of Terraform or AWS CDK.
- Experience with AI-assisted SDLC implementation.

Keywords: Java, Spring Boot, Microservices, AWS, AWS Kiro, AIDLC, REST APIs, Lambda, API Gateway, Docker, CI/CD

📌 Java Backend Engineer Spring Boot, AWS & AIDLC (Noida)
🏢 Mount Talent Consulting
📍 Noida