.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: USC / Green Card (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 (GCP, 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
Procom provides Basic Life/AD&D insurance, Short- and Long-Term Disability, and EAP at no cost to eligible employees after a waiting period. Medical and dental coverage (employee premium contributions), a non-matching 401(k) plan, and additional voluntary coverage are also available. This role includes legislatively required paid leave; no bonus, commission, or equity compensation applies.