Enterprise Developer

Overview

• Contribute to the development of scalable enterprise applications using modern AI-assisted workflows and automation technologies.
• Collaborate with stakeholders to modernize internal systems and clear high-priority backlogs efficiently.
• Leverage Microsoft technologies, including ASP.NET Core, Blazor, and Azure, for impactful solution delivery.
• Utilize AI platforms and tools to enhance development efficiency and application functionality.
• Engage in system design discussions to implement scalable enterprise patterns and best practices.
• Develop responsive front-end applications integrated with robust .NET-based backend services.
• Deploy and optimize applications in Microsoft Azure, ensuring reliability and scalability.
• Build AI-powered features such as chatbots and smart data extraction systems.

Key Responsibilities & Duties

• Design and develop web applications using ASP.NET Core and Blazor for internal and client-facing platforms.
• Implement RPA solutions to automate workflows related to portfolio analysis and risk management.
• Integrate external financial data providers to build monitoring and alerting systems.
• Deploy and manage applications in Azure, leveraging services like Azure Functions and Azure SQL.
• Maintain CI/CD pipelines using Azure DevOps for automated testing and reliable deployments.
• Collaborate with stakeholders to deliver high-impact front-end functionality rapidly.
• Utilize AI-assisted development tools to improve code quality and documentation.
• Participate in system architecture discussions to define scalable technology standards.

Job Requirements

• Bachelor’s or master’s degree in computer science, IT, or a related field.
• 3-5 years of experience in enterprise application development and web-based solutions.
• Proficiency in .NET technologies including ASP.NET Core, Blazor, and Angular.
• Experience with Azure DevOps, CI/CD pipelines, and deployment practices.
• Familiarity with financial data platforms such as Morningstar, FactSet, or Bloomberg.
• Relevant certifications in Microsoft, Azure, or cloud technologies are advantageous.
• Strong analytical and problem-solving abilities to deliver scalable solutions.
• Demonstrated ability to leverage AI-assisted development tools effectively.