.NET AI Developer

Partnering with Aquent, we are thrilled to present an opportunity with a pioneering organization in the financial services sector. This company is not just participating in the digital revolution; it's leading it, crafting innovative solutions that touch millions of lives and define the future of finance. Here, you'll join a team where engineering excellence is paramount, and advanced technologies are wielded to conquer the most intricate business challenges.

Imagine a role where your vision and technical prowess directly shape the future of intelligent financial solutions. We are seeking an exceptional technologist to spearhead the integration of artificial intelligence into vital business workflows. This isn't just a job; it's a pivotal opportunity to stand at the nexus of robust engineering, cutting-edge event-driven architectures, and scalable cloud-native platforms. You will be a key architect in how intelligent solutions are conceived, built, and deployed within a fast-paced financial ecosystem, directly contributing to system modernization, supercharging developer productivity, and driving monumental technological advancements.

What You Will Do

• Lead the design and implementation of highly scalable, resilient, and event-driven applications, leveraging .NET, advanced event streaming platforms, and modern cloud-native architecture patterns.
• Build and modernize high-volume services, APIs, and distributed application capabilities crucial for reliable transaction processing and business-critical workflows.
• Collaborate extensively with architects, product owners, developers, and cross-functional technology teams to transform business requirements into high-quality, impactful technical solutions.
• Utilize Generative AI coding assistants to significantly accelerate implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation, while maintaining full ownership for correctness and quality.
• Apply agentic workflows, sophisticated prompt engineering, custom instructions, and spec-driven development practices to dramatically enhance developer productivity and team execution.
• Drive engineering quality through comprehensive automated testing, rigorous code review discipline, in-depth performance analysis, robust observability, resilient design, and meticulous production readiness practices.
• Champion modernization initiatives, guiding the transition of legacy capabilities towards distributed .NET services, cloud-native platforms, event-driven architectures, and modern data stores.
• Mentor and collaborate with engineers in a dynamic, team-oriented environment, establishing repeatable best practices for effective and responsible AI-assisted development.

Must-Have Qualifications

• 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, coupled 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 mechanisms, performance analysis and profiling, Twelve-Factor App methodology, resiliency patterns, and observability patterns.
• Proven experience as a technical lead for a team and/or project.
• 6+ years of experience building and deploying cloud-native applications utilizing cloud providers, containerization, orchestration tools, microservices, and CI/CD practices.
• Experience with diverse cloud platforms and deployment environments such as platform-as-a-service, or leading public cloud providers.
• 2+ years of experience working with various databases, including document databases, in-memory data stores, relational databases, or comparable relational and NoSQL platforms.
• 2+ years of prior experience in IT transformation and system modernization initiatives, specifically migrating 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 extensive experience with AI-assisted engineering practices.
• Hands-on experience or practical exposure to leading Large Language Models or comparable enterprise AI platforms.
• Demonstrated hands-on experience using Generative AI coding assistants across various SDLC workflows, including implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation.
• Practical familiarity with leading Generative AI coding assistant tools in IDE or CLI-based workflows, with the ability to apply AI assistance to reduce context switching and accelerate delivery beyond code generation.
• Working knowledge of agentic workflows, spec-driven development, custom instructions, and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.
• Knowledge of Agile methodology and experience thriving in an Agile working environment.
• Experience with development and project management tool suites, including issue tracking and collaboration platforms.
• Understanding of financial domain capabilities and operations, with preferred experience in the financial services industry.
• Exceptional communication skills, with a proven ability to guide and collaborate effectively with engineers in a team-oriented environment.
• Brings a collaborative mindset and a bias for action, effectively partnering with developers, architects, and adjacent teams to drive impactful outcomes.

What Will Set You Apart

• Master's degree in Information Technology, Computer Science, Software Engineering, Artificial Intelligence, or a related field, or equivalent practical experience.
• Extensive experience in Test Driven Development (TDD), Behavior Driven Development (BDD), QA automation, and a strong quality engineering mindset and behaviors.
• Proficiency in creating architecture diagrams, detailed design documentation, functional and technical specifications, automated test process documentation, runbooks, and comprehensive production/test environment documentation.
• Experience with performance engineering, reliability testing, resiliency validation, and operational readiness for high-volume distributed platforms.
• Exposure to AI-assisted SDLC transformation initiatives, internal developer productivity programs, or enterprise AI implementation patterns.
• Proven experience mentoring engineers on .NET engineering practices, cloud-native implementation, distributed systems, and responsible AI-assisted software delivery.

About Aquent Talent

Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.