.NET Developer

Aquent is partnering with a leading financial technology company that is revolutionizing how individuals manage their investments. This innovative organization is at the forefront of leveraging cutting-edge technology to deliver robust, scalable, and secure financial solutions. They are dedicated to creating impactful products that empower their clients, foster continuous improvement, and embrace the future of software development, including advanced AI-driven methodologies. Join a team where your contributions directly shape the future of investment technology and financial empowerment.

Unleash Your Potential: Shape the Future of Investment Technology!

Are you a passionate and experienced software engineer ready to make a significant impact in the financial sector? We are seeking a talented individual to join a dynamic team focused on developing and enhancing critical investment lifecycle solutions. This is an incredible opportunity to work within a fast-paced, agile environment where your expertise in full-stack development, coupled with a keen interest in AI-assisted engineering, will drive innovation. You will be instrumental in building high-quality, high-performance applications that directly contribute to company growth and client success, working collaboratively across teams to deliver groundbreaking technical solutions.

What You'll Do

• Design, develop, deploy, and maintain robust web UI and REST APIs, ensuring seamless functionality and user experience.
• Actively troubleshoot and provide essential support for applications in production, ensuring stability and reliability.
• Continuously identify and implement improvements in technology, processes, and overall performance.
• Champion the adoption of approved AI tools and AI-assisted engineering practices to enhance development velocity, code quality, testing efficiency, and documentation.
• Participate in rigorous design, code, and AI-assisted code validation reviews, contributing to a culture of excellence.
• Build impactful solutions that directly contribute to significant company growth and strategic objectives.
• Thrive in an Agile scrum-based software development environment, actively contributing to team success.
• Collaborate closely with internal and external team members to break down requirements, design software, and prioritize tasks effectively.
• Partner with product, architecture, security, and engineering teams to explore AI-enabled application patterns, automation opportunities, and responsible AI considerations.
• Engage with development teams to review and elevate code quality, refine requirements, and improve design methodologies.
• Debug, troubleshoot, and enhance existing integrations and software to optimize performance.
• Actively participate in team meetings, ensuring all team deliverables are met with precision.
• Provide hands-on development, AI-assisted engineering guidance, and mentorship to fellow team members.
• Create essential project artifacts, including technical specifications, AI usage notes, solution design documentation, and performance metrics reports.
• Proactively identify technology risks and establish comprehensive mitigation plans.
• Apply AI-assisted development practices to boost engineering productivity, code quality, testing, documentation, and overall solution delivery.

What You Bring

• Minimum 5 years of solid experience in application development.
• Demonstrated ability to effectively apply .NET development tools and techniques across coding, debugging, refactoring, test creation, documentation, and code review workflows.
• Proficiency in building client/server-side applications using .NET.
• Strong understanding of relational and SQL database concepts, with a minimum of 3-5 years of experience and proficiency in SQL Server.
• Familiarity with creating REST API integrations, with a minimum of 1-3 years of experience.
• Understanding of AI application development patterns, including prompt engineering, model/API integration, retrieval-augmented workflows, intelligent automation, and human oversight of AI-generated outputs.
• Proven history of debugging and troubleshooting full-stack applications.
• Understanding of large dataset manipulation, movement techniques, and related challenges.
• Familiarity with Agile software development methodologies, concepts, and procedures.
• Comfortable utilizing tools such as Jira, GitHub, or similar platforms.
• Adept at using approved AI developer productivity tools, including AI coding assistants, prompt-based code exploration, and AI-supported documentation or test generation, while applying sound engineering judgment.
• UI development experience with a single-page application framework.
• Experience with native cloud architecture or Pivotal Cloud Foundry equivalent.
• Comfortable with Git source code management, branching, and code merges.
• Thrives in a fast-paced, customer-focused Agile environment that continually embraces change.
• Excellent problem-solving skills with a design-first mindset.
• Working knowledge of AI application development concepts, including prompt engineering, AI-assisted coding tools, model integration patterns, responsible AI practices, and practical use of generative AI in software delivery.

What Will Set You Apart

• Experience in financial technology domains and Angular or other single-page application development.
• Experience with SSIS or other data load/ETL tools.
• Experience developing or integrating AI-enabled applications, automation capabilities, intelligent workflows, or enterprise productivity solutions using modern AI platforms and APIs.
• Experience designing secure and scalable AI-enabled features, including integration with enterprise APIs, data pipelines, cloud services, observability, and quality controls.
• Enterprise system production support, DevOps, and release management experience.
• Continuous integration experience with Bamboo, Jenkins, or other CI/CD tools.
• Prior experience building financial services applications or platforms.
• Experience in enterprise public cloud environments such as GCP, AWS, Azure, or equivalent platforms.
• Experience with Bamboo for CI/CD deployment automation and Python for service automation.
• Cloud-native design pattern experience.
• 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 considerations for enterprise AI solutions.
• Experience with Google Cloud Platform and familiarity with Docker/containerization.
• Knowledge of cloud concepts such as cloud deployments, microservice infrastructure, cloud configuration, and Pivotal Cloud Foundry.
• BS/BA in Computer Science or an equivalent discipline.