.NET Developer

Aquent is proud to partner with a pioneering force in financial technology that is reshaping how individuals manage their investments. By joining this innovative team, you will play a pivotal role in leveraging advanced technology and cutting-edge AI-driven methodologies to deliver robust, scalable, and secure financial solutions. Your contributions will directly influence the evolution of investment technology, empowering clients and driving the future of software development in a highly collaborative, forward-thinking environment.

The Opportunity

We are seeking a passionate and experienced software engineer who is eager to make a significant mark in the financial sector. In this dynamic role, you will thrive in a fast-paced, Agile environment where your expertise in full-stack development and your enthusiasm for AI-assisted engineering will drive groundbreaking innovation. You will be instrumental in building high-quality, high-performance applications that contribute to strategic growth and client success, collaborating across cross-functional teams to deliver truly impactful technical solutions within critical investment lifecycle systems.

What You'll Do

• Design, develop, deploy, and maintain robust web UI and REST APIs, ensuring seamless functionality and an exceptional user experience.
• Provide critical production support and actively troubleshoot applications to ensure maximum stability and reliability.
• Drive continuous improvement in technology, processes, and overall system performance.
• Champion and integrate approved AI tools and AI-assisted engineering practices to accelerate development, elevate code quality, enhance testing efficiency, and streamline documentation.
• Participate in rigorous design, code, and AI-assisted code validation reviews, fostering a culture of technical excellence.
• Partner with cross-functional teams (product, architecture, security) to explore AI-enabled application patterns, automation opportunities, and responsible AI considerations.
• Create essential project artifacts, including technical specifications, AI usage notes, and solution design documentation.
• Identify technology risks proactively and establish comprehensive mitigation plans.
• Provide hands-on development, AI-assisted engineering guidance, and mentorship to team members.

What You Bring

• A minimum of 5 years of robust experience in application development.
• Demonstrated proficiency in .NET development, encompassing coding, debugging, refactoring, test creation, documentation, and code review workflows.
• Expertise in building client/server-side applications using .NET.
• Strong understanding of relational and SQL database concepts, with 3-5 years of experience and proficiency in SQL Server.
• 1-3 years of experience creating and integrating REST APIs.
• Proven ability to debug and troubleshoot complex full-stack applications.
• Familiarity with large dataset manipulation, movement techniques, and associated challenges.
• Proficiency in Agile software development methodologies and practices.
• Comfortable utilizing industry-standard tools such as Jira, GitHub, or similar platforms for project management and version control.
• Adept at leveraging approved AI developer productivity tools (e.g., AI coding assistants, prompt-based code exploration, AI-supported documentation/test generation) with sound engineering judgment.
• 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.
• UI development experience with a single-page application framework.
• Experience with native cloud architecture or Pivotal Cloud Foundry equivalent.
• Comfort with Git for source code management, branching, and merging.

Nice-to-Have Qualifications

• Experience in financial technology domains and/or Angular or other single-page application development.
• Proficiency with SSIS or other data load/ETL tools.
• Demonstrated experience developing or integrating AI-enabled applications, 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, and quality controls.
• Background in enterprise system production support, DevOps, and release management.
• Continuous integration experience with tools like Bamboo, Jenkins, or similar CI/CD platforms.
• Prior experience building applications or platforms within the financial services industry.
• Experience with enterprise public cloud environments such as GCP, AWS, Azure, or equivalent platforms.
• Proficiency with Bamboo for CI/CD deployment automation and Python for service automation.
• Familiarity with cloud-native design patterns and containerization (Docker).
• Knowledge of responsible AI practices, including AI output validation, data privacy, application security, and governance considerations.
• A Bachelor's degree in Computer Science or an equivalent discipline.