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Job Description
Position Overview:
- We are seeking a skilled Senior Java Spring Boot Developer with 9 to 11 years of experience in creating and enhancing scalable enterprise-level applications.
- The successful candidate will have substantial hands-on experience with Java Spring Boot, Microservices, React, AWS, and AI Generative AI technologies.
- This role will require you to lead development projects, make informed technical decisions, and deliver cloud-native solutions.
Primary Responsibilities:
- Essential Skills
- Java
- Spring Boot
- Microservices
- React
- js
- AWS
- AI Generative AI
- Main Duties
- Design and build highly scalable, secure, and resilient applications utilizing Java and Spring Boot
- Architect and implement Microservices-based architectures
- Create modern front-end applications using React
- Lead technical discussions, conduct code reviews, and make architectural decisions
- Develop and deploy cloud-native applications on AWS
- Incorporate AI Generative AI capabilities such as LLMs, RAG, Agentic AI, and AI-driven workflows
- Design RESTful APIs and ensure their performance optimization
- Guide junior developers and provide technical mentorship
- Collaborate with architects, product owners, QA teams, and DevOps personnel
- Adhere to best practices in coding, security, scalability, and maintainability
Technical Qualifications:
- Required Experience
- 9 to 11 years of software development expertise
- Proficient hands-on experience with Java versions 8, 11, and 17
- Extensive knowledge of Spring Boot, Spring MVC, Spring Security, and Microservices
- Strong React
- js development capabilities
- Practical experience with AWS services including
- EC2
- S3
- Lambda
- RDS
- ECS and EKS
- API Gateway
- CloudWatch
- IAM
- Experience in API development and integration
- Deep understanding of design patterns and distributed systems
- Experience with both relational and NoSQL databases
- Hands-on experience with Git, CI/CD pipelines, and Agile methodologies
Additional Skills:
- Desirable Skills
- Kafka Event-Driven Architecture
- Docker and Kubernetes
- OpenAI and Azure OpenAI
- RAG Retrieval-Augmented Generation
- Agent Frameworks such as Autogen, LangChain, CrewAI, and Semantic Kernel
- MCP Model Context Protocol
- Exposure to Terraform and DevOps principles
