Sr. Java Full Stack Developer with AI/ ML

Required Skills
• Technical: Java, Spring Boot, REST APIs, Microservices, Kafka, Angular/React
• Cloud: GCP (preferred)or AWS/Azure experience
• Python for AI/ML
• DevOps: CI/CD pipelines, Docker, Kubernetes.

Core Responsibilities
1. Application Design & Development
o Architect, design, and develop scalable, secure, and high-performing applications using Java, Spring Boot, and RESTful APIs.
o Implement microservices architecture ensuring modularity and maintainability.
o Develop front-end components (React/Angular or similar) integrated with backend services.
1. Integration & Messaging
o Design and implement asynchronous communication using Kafka or other messaging tools.
o Ensure reliable message delivery and fault-tolerant event-driven systems.
2. Cloud Deployment
o Build and deploy applications on Google Cloud Platform (GCP) or other cloud environments.
o Utilize cloud-native services (Pub/Sub, Cloud Functions, Kubernetes, etc.) for scalability and resilience.
3. CI/CD & DevOps
o Set up and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI.
o Automate build, test, and deployment processes for faster delivery.
4. Performance & Security
o Conduct performance tuning and optimization for high-traffic applications.
o Implement security best practices (OAuth2, JWT, encryption, etc.) across services.
5. Machine Learning / Statistical Analysis (Good to Have)
o Collaborate with data science teams to integrate ML models into applications.
o Use Python for data processing, ML pipelines, or predictive analytics when required.
6. Leadership & Mentorship
o Lead technical discussions, code reviews, and provide guidance to junior developers.
o Drive best practices in coding standards, architecture, and agile methodologies.
7. Stakeholder Collaboration
o Work closely with product owners, architects, and QA teams to deliver high-quality solutions.
o Translate business requirements into technical specifications.