Key Responsibilities 

• Define and execute the technical roadmap for SaaS-based enterprise software applications, leveraging microservice-based architectures and AWS-native development. 

• Led the end-to-end software development lifecycle — from requirements gathering and system design to deployment and maintenance — using C#, .NET, Angular, SQL Server, and other Microsoft or open-source technologies. 

• Architect and deploy scalable, secure, and high-performance applications on AWS, utilizing services such as EC2, ECS, Lambda, RDS, API Gateway, and CloudFormation. 

• Drive the adoption of microservice-based architectures to ensure modularity, scalability, and maintainability of SaaS applications. 

• Integrate AI/ML capabilities into applications, focusing on areas like intelligent document processing, market analysis, and risk modeling. 

• Develop and deploy AI/ML solutions, including Generative AI and LLM-based applications with custom Retrieval-Augmented Generation (RAG) pipelines 

• Collaborate with Product, Data Engineering, and Client teams to align technical solutions with business and client needs. 

• Mentor and grow a high-performing engineering team, fostering a culture of innovation, collaboration, and technical excellence. 

• Ensure applications and AI systems are secure, compliant, and traceable, adhering to regulatory standards in the capital markets domain.