Key Responsibilities:

• Design, develop, and maintain scalable microservices using Functional Java and SpringBoot
• Architect and implement real-time data pipelines and event-driven systems using Apache Kafka
• Integrate Redis for performance-optimized caching and session management
• Build and deploy containerized services using Docker on GCP (Cloud Run, GKE, Pub/Sub, etc.)
• Collaborate with data science and product teams to incorporate pre-trained LLMs (e.g., OpenAI, Hugging Face models) into backend workflows
• Participate in system architecture discussions, performance tuning, and design reviews
• Ensure test coverage and continuous delivery through robust CI/CD pipelines
• Troubleshoot complex issues in distributed environments and resolve production incidents swiftly

Required Skills & Experience:

• 6-10 years of backend engineering experience
• Strong proficiency in Java, ideally with Functional Programming practices
• Expertise in SpringBoot and microservice architecture
• Deep hands-on experience with Apache Kafka for stream processing and event-driven design
• Solid knowledge of Redis for caching, message brokering, and performance tuning
• Practical experience with GCP services: Cloud Run, GKE, Pub/Sub, Storage, IAM
• Familiarity with LLM concepts (prompt engineering, APIs for model access, basic NLP tasks)
• Experience with RESTful APIs, API security, and integration patterns
• Proficient in Docker, Git, and building/maintaining CI/CD pipelines
• Strong analytical, debugging, and performance tuning skills in cloud-native environments

Preferred Qualifications:

• GCP certification or prior experience deploying production-grade systems on GCP
• Exposure to AI/ML integration workflows, especially model orchestration and prompt testing
• Experience working in Agile/Scrum teams with a DevOps mindset
• Contributions to open-source projects or backend engineering blogs