Senior Software Engineer AI Platforms & Cloud

Immediate Joiners preferred

Job Summary

We are seeking highly skilled Senior Software Engineers with deep expertise in the Java ecosystem, cloud-native architecture, and AI-powered application development. The ideal candidate will have strong experience in Java, Spring Boot, AWS, Snowflake Clean Rooms, Angular, and deployment of AI solutions into production environments.

This role will be responsible for designing and building scalable enterprise applications, AI-powered services, chatbot solutions, and Model Context Protocol (MCP)-based integrations while working closely with architects, product teams, and data engineers.

Key Responsibilities

• Design, develop, and maintain enterprise-grade applications using Java and Spring Boot.
• Build scalable microservices and cloud-native solutions on AWS.
• Develop and integrate applications with Snowflake Clean Rooms and related data-sharing platforms.
• Design and implement serverless solutions using AWS Lambda.
• Develop modern user interfaces using Angular.
• Build, expose, and manage MCP (Model Context Protocol) services as public integration endpoints.
• Design and develop reusable AI Skills and AI-powered capabilities.
• Develop and deploy chatbot solutions leveraging modern AI and LLM technologies.
• Deploy, monitor, and support AI systems in production environments.
• Participate in architecture, design, and technology evaluation discussions.
• Optimize application performance, scalability, security, and reliability.
• Mentor engineers and contribute to engineering excellence through code reviews and technical leadership.
• Collaborate with Product, Data Engineering, and Platform teams to deliver business solutions.

Required Qualifications

• 5+ years of software engineering experience.
• Strong expertise in Java and the broader Java ecosystem.
• Expert-level knowledge of Spring Boot and Microservices architecture.
• Strong experience with AWS cloud services.
• Hands-on experience with AWS Lambda and serverless architectures.
• Experience with Snowflake Clean Rooms and secure data-sharing solutions.
• Strong front-end experience with Angular.
• Experience developing scalable REST APIs.
• Experience building and exposing MCP-based services.
• Experience building AI Skills and integrating AI capabilities into enterprise applications.
• Experience deploying AI/ML applications into production environments.
• Strong understanding of distributed systems and cloud-native design patterns.
• Experience with CI/CD pipelines, automated testing, and DevOps practices.
• Excellent problem-solving and troubleshooting skills.

Preferred Qualifications

• AdTech or MarTech domain experience.
• Experience working with Generative AI, LLMs, Agentic AI, or AI orchestration frameworks.
• Experience with Databricks, Snowflake, or modern data platforms.
• Experience with Docker and Kubernetes.
• Knowledge of data privacy, audience activation, and customer data platforms.
• Experience building AI-powered customer engagement or marketing solutions.