Job Role: Senior Software Engineer – AI Platforms & Cloud Applications

Job Summary

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.