Why This Role Stands Out
This Lead Java AWS Developer role offers incredible growth potential by allowing you to shape innovative solutions and mentor a talented team, with exciting opportunities in AI/ML. You'll thrive here if you possess strong Java, AWS, and leadership experience, and are eager to contribute to cutting-edge cloud-native development. This hybrid position is a fantastic opportunity to advance your career and make a significant impact.
Quick Overview
Job Description
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.
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