AI .Net Developer/Engineer

• Experience: 
• 7+ years of professional software engineering experience in actively developing large-scale software using C#, .NET/.NET Core, ASP.NET, cloud-native development, and Web Services/APIs, supporting high-volume transactions in a highly available, mission-critical environment.
• 2+ years of hands-on experience with AI/ML implementation and production deployment
• 6+ years of experience working with containers and microservices in the cloud.
• 6+ years of experience in cloud deployment in a continuous integration, and continuous delivery model (CI/CD).
• 2+ years of experience with Pivotal Cloud Foundry (PCF), or AWS or Google Cloud Platform.
• 2+ years’ experience working with databases like MongoDB, Aerospike, and/or PostgreSQL.
• 2+ years Prior experience in IT Transformations and system modernization initiatives from legacy to distributed platforms, i.e., Mainframe Cobol apps/DB2 to Java apps/SQL or MongoDB
• Hands-on experience with Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM)
• Domain Expertise: Understanding of broker-dealer capabilities and operations.
• Communication: Excellent communication skills; proven ability to communicate and lead other engineers in a collaborative environment
• Execution Focus: Collaborative mindset coupled with a bias for action to effectively engage with fellow developers, Architects, and adjacent teams, etc.

Preferred Qualifications:

• Master’s degree in Information Technology, Computer Science, related degree, OR related practical experience
• Good knowledge of messaging technologies (Rabbit MQ, Kafka, or equivalent)
• Experience in Financial Services industry
• Experience in Test Driven Development, QA Automation and Quality mindset and behaviors
• Proficient in developing Visio diagrams, architectural and design documentations, functional and technical specifications, automated test process
• Willingness to learn all aspects of tech stack and document
• Ability to research and document production and test environments along with architecture and design work
• Knowledge of Agile methodology and experience in an Agile working environment
• Experience with the Atlassian tool stack (JIRA and Confluence)