Software Developer - Senior

.NET Developer, Risk Solutions (Contract-to-Hire)

Assignment Details

• Type: Contract-to-hire, 6-month initial contract
• Location: Hybrid, onsite 4 days/week. Southlake, TX primary; Austin, TX backup.
• Work authorization: / (required)

Position Overview
The candidate will work with a team of .NET engineers to develop and improve investment lifecycle solutions in Risk Solutions. Ideal candidates enjoy fast-paced environments, thrive under ambiguity, embrace change, and show practical knowledge of AI-assisted development, AI application concepts, and responsible use of generative AI in software delivery. The role covers application development in an enterprise architecture environment using the .NET framework and C#, working within and across Agile teams to design, develop, test, implement, and support solutions using a full stack of tools and approved AI developer productivity capabilities. Key Responsibilities

• Design, develop, deploy, and maintain web UI and REST APIs
• Troubleshoot and support applications in production
• Identify ways to improve technology, processes, and performance
• Apply approved AI tools and AI-assisted engineering practices to improve development velocity, maintainability, testing efficiency, and documentation quality
• Participate in design, code, AI-assisted code validation, and technical design reviews
• Build solutions that significantly impact company growth
• Participate in an Agile scrum-based development environment
• Work with internal and external team members to decompose requirements, design software, and prioritize tasks
• Collaborate with product, architecture, security, and engineering partners to evaluate AI-enabled application patterns, automation opportunities, and responsible AI considerations
• Meet periodically with onsite and offshore developers to review code quality, requirements specifications, and design methodologies
• Troubleshoot, debug, and improve existing integrations and software
• Participate in team meetings to ensure deliverables are met
• Provide hands-on development, AI-assisted engineering guidance, and mentoring to other developers
• Create project artifacts such as technical specifications, AI usage notes, solution design documentation, and metrics reports
• Identify technology risks early and establish mitigation plans

Required Qualifications

• 5+ years of application development experience
• Demonstrated ability to apply .NET tools and techniques across coding, debugging, refactoring, test creation, documentation, and code review
• Proficiency building client/server-side applications in .NET
• Strong relational/SQL database concepts, with 3-5 years of experience and proficiency in SQL Server
• Familiarity with REST API integrations, 1-3 years of experience
• Familiarity with AI application development patterns: prompt engineering, model/API integration, retrieval-augmented workflows, intelligent automation, and human oversight of AI output
• Proven history of debugging and troubleshooting full-stack applications
• Understanding of large dataset manipulation, movement techniques, and related challenges
• Understanding of Agile methodologies
• Comfort with Jira, GitHub, or similar tools
• Comfort using approved AI developer tools (coding assistants, prompt-based code exploration, AI-supported documentation and test generation) with sound engineering judgment
• UI development experience with a single-page application framework
• Experience with native cloud architecture or a PCF equivalent
• Comfort with Git branching and merges
• Comfort in a fast-paced, customer-focused Agile environment that embraces change
• Good problem-solving skills with a design-first mindset
• Working knowledge of AI application development concepts, including responsible AI practices and practical use of generative AI in software delivery

Preferred Qualifications

• Financial technology domain experience; Angular or other single-page application experience
• SSIS or other data load/ETL tools
• Experience developing or integrating AI-enabled applications, automation, or intelligent workflows using modern AI platforms and APIs
• Experience designing secure, scalable AI-enabled features, including integration with enterprise APIs, data pipelines, cloud services, observability, and quality controls
• Enterprise production support, DevOps, and release management experience
• CI/CD experience with Bamboo, Jenkins, or similar; Bamboo for deployment automation and Python for service automation
• Prior financial services application or platform experience
• Enterprise public cloud experience (Google Cloud Platform, AWS, Azure, or equivalent); Google Cloud Platform and Docker/containerization familiarity
• Cloud-native design patterns, including microservice infrastructure, cloud configuration, and Pivotal Cloud Foundry
• Development experience focused on performance, application security, and other non-functional requirements
• Knowledge of responsible AI practices: AI output validation, data privacy, application security, model risk awareness, and governance
• BS/BA in Computer Science or an equivalent discipline