Software Developer

The candidate will work with a team of .NET engineers and be responsible for developing and improving investment in lifecycle solutions in Risk Solutions. Ideal candidates enjoy fast-paced environments, thrive under ambiguity, adopt change passionately, and demonstrate practical knowledge of AI-assisted development, AI application concepts, and responsible use of generative AI in software delivery. This role is responsible for application development in an enterprise architecture environment within the .NET framework using C#. You will work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full stack of development tools, technologies, and approved AI developer productivity capabilities to ensure on-time, high-quality delivery of software products., Responsible for the design, development, deployment, and maintenance of web UI and REST APIs.

• Troubleshoot and support applications in production in case of issues.

• Identify ways to improve technology, processes, and performance.

• Identify opportunities to apply approved AI tools and AI-assisted engineering practices to improve development velocity, code 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 software development environment.

• Work closely 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 where appropriate.

• Meet periodically with onsite and offshore developers to review and improve code quality, requirements specifications, and design methodologies.

• Troubleshoot, debug, and improve existing integrations and software.

• Actively participate in team meetings to ensure team deliverables are met.

• Provide hands-on development, AI-assisted engineering guidance, and mentoring as necessary for other members of the development team.

• Create project artifacts such as technical specifications, AI usage notes, solution design documentation, and metrics reports.

• Identify technology risks early and establish mitigation plans.

• Apply AI-assisted development practices to improve engineering productivity, code quality, testing, documentation, and solution delivery.

NET,.NET framework,AI coding assistants,Agile,Agile software development methodologies,AWS,Angular,application framework,APIs,AI application,AI,AI-enabled applications,scalable AI,AI solutions,Bamboo,C#,client/server,cloud concepts,Cloud-native design,Pivotal Cloud Foundry,native cloud,cloud services,cloud deployments,refactoring,code review,containerization,Continuous integration,CI/CD,data pipelines,deployment automation,UI development,DevOps,Docker,Enterprise system,ETL tools,generative AI,Git,GitHub,Google Cloud Platform,Google Cloud Platform,Computer Science,Jira,Jenkins,microservice,Azure,model risk,productivity tools,development tools,prompt engineering,Python,release management,REST API,SQL database,SSIS,debugging,application development,application security,source code management,integrating,problem-solving skills,customer-focused,architecture,AI-assisted development,automation capabilities,responsible AI,data privacy,enterprise architecture,financial technology,full-stack applications,governance,infrastructure,financial services,intelligent automation,service automation,production support,public cloud,quality controls,Risk,sound engineering,non-functional requirements,workflows