Senior Software Engineer – AI Platforms & Cloud Applications

Job Role: Senior Software Engineer – AI Platforms & Cloud Applications Location: Hyderabad, India Experience: 8+ Years Level: Senior Software Engineer Job Summary Anblicks is looking for an experienced Senior Software Engineer with strong expertise in Java, Spring Boot, Microservices, REST API Development, and AWS Cloud. The ideal candidate should have hands-on experience designing and developing scalable, secure, and high-performance enterprise applications using cloud-native architectures. The candidate should also have exposure to AI-powered application development, Generative AI, LLM integrations, and chatbot solutions. Experience with Snowflake Clean Rooms, Angular, and MCP-based integrations will be an added advantage. Key Responsibilities Design, develop, and maintain scalable enterprise applications using Java, Spring Boot, and Microservices architecture. Build and manage RESTful APIs, backend services, and cloud-native application components. Develop and deploy applications using AWS services, including Lambda, API Gateway, S3, EC2, SQS, and SNS. Implement serverless architectures and secure application integrations. Develop and integrate AI-powered services, LLM-based capabilities, and chatbot solutions into enterprise applications. Build and manage MCP (Model Context Protocol) services and integrations for AI-powered applications. Integrate applications with Snowflake Clean Rooms and secure data-sharing platforms. Deploy, monitor, troubleshoot, and optimize applications and AI solutions in production environments. Ensure application performance, scalability, security, and reliability. Collaborate with architects, product managers, and data engineering teams on solution design and delivery. Participate in code reviews, technical discussions, and mentor junior engineers. Required Skills & Qualifications 8+ years of experience in software development and enterprise application engineering. Strong hands-on expertise in Java, Spring Boot, and Spring Framework. Extensive experience in Microservices architecture and REST API development. Strong experience with AWS Cloud services and cloud-native application development. Hands-on knowledge of AWS Lambda, API Gateway, and serverless architecture. Exposure to developing or integrating AI-powered applications, chatbots, or LLM-based solutions. Understanding of distributed systems, event-driven architecture, and application security. Experience with Angular and modern application development. Good understanding of CI/CD pipelines, automated testing, and DevOps practices. Strong analytical, problem-solving, and troubleshooting skills. Preferred Qualifications Experience with Generative AI, LLMs, Agentic AI, and AI orchestration frameworks. Exposure to MCP (Model Context Protocol), AI Skills, and AI agent integrations. Experience with Snowflake Clean Rooms and secure data-sharing solutions. Familiarity with Spring AI, LangChain, LangGraph, or similar AI frameworks. Experience with Databricks, Docker, and Kubernetes. AdTech / MarTech domain experience, including customer data platforms, audience activation, and data privacy. Experience building AI-powered customer engagement and marketing solutions.