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.

Created: 2026-03-10