Lead Java AWS Developer

Job Summary:

We are seeking a highly skilled and motivated Java/AWS Lead with over 10 years of experience in enterprise software development. The ideal candidate will have strong expertise in Java, Spring Boot, and cloud-native development on AWS, along with a deep understanding of modern software architecture. Preference will be given to candidates with hands-on experience or strong interest in AI/ML, Python, and Large Language Models (LLMs).

Key Responsibilities:

• Lead end-to-end design, development, and deployment of scalable Java-based microservices on AWS.
• Guide and mentor a team of developers, ensuring high-quality code and engineering practices.
• Collaborate with cross-functional teams including AI/ML engineers, DevOps, and Product Managers.
• Architect and implement cloud-native applications with an emphasis on reliability, performance, and security.
• Integrate AI-driven features or LLM-based services using Python or third-party APIs.
• Evaluate new tools and technologies, especially in the AI and GenAI space, to improve development efficiency and application intelligence.
• Participate in code reviews, sprint planning, and architectural discussions.

Required Qualifications:

• 10+ years of experience in software development with a strong focus on Java and Spring Boot.
• 5+ years of experience working with AWS services (EC2, S3, Lambda, RDS, API Gateway, etc.).
• Proven experience leading and mentoring development teams.
• Solid understanding of microservices architecture, REST APIs, and cloud design patterns.
• Exposure to CI/CD pipelines and containerization tools (Docker, Kubernetes).

Preferred Skills:

• Experience with Python for scripting or backend tasks.
• Exposure to AI/ML concepts and Large Language Models (LLMs) such as GPT, Claude, or similar.
• Familiarity with AWS AI services (e.g., Bedrock, SageMaker, Comprehend).
• Experience integrating AI/GenAI tools into enterprise applications.
• Knowledge of event-driven architecture (Kafka, SNS/SQS).

Education:

• Bachelor s or Master s degree in Computer Science, Engineering, or a related field.