Role Overview

We are looking for an experienced Java Developer with strong expertise in AWS Cloud and AI-assisted, specification-driven software development. The candidate will be responsible for designing, developing, testing, and deploying scalable enterprise applications using Java and AWS or Azure services.

Key Responsibilities

- Develop scalable and secure applications using Java, Spring Boot, and REST APIs.
- Follow AI specification-driven development practices to convert business and technical requirements into detailed specifications, APIs, data models, code, and test cases.
- Use AI-assisted development tools such as GitHub Copilot, Amazon Q Developer, Cursor, or similar tools for code generation, refactoring, documentation, debugging, and test creation.
- Design and implement cloud-native applications on AWS or Azure.
- Develop microservices, event-driven applications, and API-based integrations.
- Create technical specifications, interface contracts, acceptance criteria, and solution designs.
- Implement unit, integration, and automation tests for application components.
- Perform code reviews and validate AI-generated code for quality, security, performance, and maintainability.
- Work with DevOps teams to implement CI/CD pipelines and automated deployments.
- Troubleshoot application and production issues and perform root-cause analysis.
- Ensure compliance with enterprise security, governance, and banking standards.
- Collaborate with architects, business analysts, QA teams, and other stakeholders in an Agile setting.

Required Skills

- 4.8–9 years of experience in Java application development.
- Strong proficiency in Java 8/11/17 or later.
- Hands-on experience with Spring Boot, Spring MVC, Spring Security, and REST APIs.
- Strong experience developing microservices and distributed applications.




- Experience with SQL and databases such as Oracle, PostgreSQL, or MySQL.
- Good understanding of Git, Maven/Gradle, CI/CD, Docker, and Kubernetes.
- Experience with unit testing frameworks such as JUnit and Mockito.
- Knowledge of Agile/Scrum development methodologies.
- Strong understanding of application security, performance, scalability, and design patterns.

AI Spec-Driven Development Skills

- Experience converting requirements into technical specifications and executable development tasks.
- Knowledge of specification-first or contract-first development.
- Experience with OpenAPI/Swagger, API contracts, JSON schemas, and data models.
- Hands-on use of AI coding assistants such as GitHub Copilot, Amazon Q Developer, Cursor, or CodeWhisperer.
- Ability to create effective prompts for:
- Code generation
- Refactoring
- Debugging
- Unit-test generation
- API documentation
- SQL generation
- Technical design documentation

- Experience validating AI-generated code through code reviews, testing, security checks, and static analysis.
- Familiarity with TDD, BDD, automated testing, and CI/CD-enabled quality gates.
- Understanding of responsible AI practices, data privacy, security, and protection of sensitive banking information.

Preferred Skills

- Experience in banking, financial services, payments, or insurance domains.
- Knowledge of Kafka or other messaging platforms.
- Experience with AWS or Azure serverless and event-driven architectures.
- Familiarity with Terraform or CloudFormation.
- Knowledge of observability tools and practices.
- Exposure to GenAI, LLM APIs, prompt engineering, or RAG-based applications.
- Experience working with enterprise-scale systems and production support.

Education

Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering, or a related field.

📌 Java Developer with AI Spec-Driven Development with AWS / Azure (Bengaluru)
🏢 Synechron
📍 Bengaluru