Software Developer

Overview

• Develop cutting-edge enterprise applications leveraging AI-assisted workflows and automation technologies to enhance efficiency and scalability.
• Collaborate with cross-functional teams to modernize systems and deliver impactful solutions using Microsoft technologies.
• Utilize ASP.NET Core, Blazor, and Azure to build robust, scalable applications for diverse business needs.
• Engage in system design discussions to implement best practices and enterprise patterns effectively.
• Develop responsive front-end applications integrated with efficient .NET-based backend services.
• Deploy and optimize applications in Azure, ensuring reliability and high performance.
• Build AI-powered features such as chatbots and smart data extraction systems to enhance user experience.
• Contribute to the continuous improvement of development processes and workflows.

Key Responsibilities & Duties

• Design and develop web applications using ASP.NET Core and Blazor for internal and external platforms.
• Implement RPA solutions to automate workflows, enhancing operational efficiency and accuracy.
• Integrate external financial data providers to create advanced monitoring and alerting systems.
• Deploy and manage applications in Azure, utilizing services like Azure Functions and Azure SQL.
• Maintain CI/CD pipelines using Azure DevOps for streamlined testing and deployment processes.
• Collaborate with stakeholders to deliver high-impact front-end functionality and user experiences.
• Leverage AI-assisted development tools to improve code quality and documentation standards.
• Participate in system architecture discussions to define scalable and efficient technology standards.

Job Requirements

• Bachelor’s degree in computer science, IT, or a related field is required.
• 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 skills to deliver scalable and efficient solutions.
• Demonstrated ability to leverage AI-assisted development tools effectively.