.NET AI Developer

Partnering with Aquent, a leading organization in the financial services sector is seeking an innovative and driven technologist. This company is at the forefront of digital transformation, building cutting-edge solutions that impact millions of users and drive the future of finance. Join a team dedicated to engineering excellence and leveraging advanced technologies to solve complex business challenges.

Are you ready to shape the future of intelligent financial solutions? We are looking for a visionary technologist to lead the integration of artificial intelligence into critical business workflows. In this pivotal role, you will be at the intersection of robust engineering, event-driven architectures, and cloud-native platforms, directly influencing how intelligent solutions are built and delivered within a dynamic financial environment.

Your expertise will be instrumental in modernizing systems, enhancing developer productivity, and driving significant advancements in our technology landscape.

• Lead the design and implementation of highly scalable, resilient, and event-driven applications utilizing .NET, event streaming platforms, and cloud-native architecture patterns.
• Build and modernize high-volume services, APIs, and distributed application capabilities essential for reliable transaction processing and business-critical workflows.
• Collaborate closely with architects, product owners, developers, and cross-functional technology teams to translate business capabilities into high-quality technical solutions.
• Leverage Generative AI coding assistants to accelerate implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation, while ensuring ownership for correctness and quality.
• Apply agentic workflows, prompt engineering, custom instructions, and spec-driven development practices to significantly improve developer productivity and team execution.
• Drive engineering quality through automated testing, rigorous code review discipline, performance analysis, observability, resiliency design, and production readiness practices.
• Support modernization initiatives by transitioning legacy capabilities towards distributed .NET services, cloud-native platforms, event-driven architecture, and modern data stores.
• Guide and collaborate with engineers in a team-oriented environment, establishing repeatable practices for effective and responsible AI-assisted development.

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• 7+ years of professional software engineering experience developing scalable, high-performance .NET, cloud-based, and web services applications that support high-volume transactions in highly available environments.
• Demonstrated experience leading the design and implementation of highly scalable, resilient, and event-driven applications using .NET and event streaming platforms, with strong knowledge of distributed systems, stream processing, performance optimization, and cloud-native architectures.
• Working experience with message queuing systems, event streaming platforms, log management tools, data interchange formats (JSON/XML), caching, performance analysis and profiling, Twelve-Factor App methodology, resiliency patterns, and observability patterns.
• Experience being a technical lead for a team and/or project.
• 6+ years of experience building and deploying cloud-native applications using cloud providers, containerization, orchestration tools, microservices, and CI/CD practices.
• Experience with cloud platforms and deployment environments such as platform-as-a-service, or leading cloud providers.
• 2+ years of experience working with databases such as document databases, in-memory data stores, relational databases or comparable relational and No
  
  SQL platforms.
• 2+ years prior experience in IT transformation and system modernization initiatives from legacy platforms to distributed .NET applications and modern data platforms.
• 2+ years of hands-on experience with AI/ML implementation and production deployment or AI-assisted…