Senior net​/C# Developer w​/AI

.NET Developer with AI

Contract/Perm: 6m contract to start (could extend/ convert to FTE)

Location:

Austin, TX or Southlake - hybrid 4 days on site 1 WFH

Role is focused on building ultra-low latency, high-volume, and reliable next-generation trading and financial technology platforms. The applications support several billions of transactions during market hours and require strong engineering discipline across scalability, resiliency, observability, and performance.

As a .NET Developer with AI experience, you will contribute to AI-assisted workflows across the System Development Life Cycle. You will work across .NET engineering, event-driven architecture, cloud-native platforms, and Generative AI-assisted delivery to build reliable business solutions in a complex financial domain.

• Contribute to the design and implementation of scalable, resilient, and event-driven applications using .NET, Kafka, and cloud-native architecture patterns.
• Build and modernize high-volume services, APIs, and distributed application capabilities that support reliable transaction processing and business-critical workflows.
• Partner with architects, product owners, developers, and adjacent technology teams to convert business capabilities into high-quality technical solutions.
• Use GenAI coding assistants to accelerate implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation while maintaining ownership for correctness and quality.
• Use agentic workflows, prompt engineering, custom instructions, and spec-driven development practices to improve individual and team productivity.
• Strengthen engineering quality through automated testing, disciplined code reviews, performance analysis, observability, resiliency practices, and production readiness.
• Support modernization initiatives by moving legacy capabilities toward distributed .NET services, cloud-native platforms, event-driven architecture, and modern data stores.
• Collaborate with engineers in a team-oriented environment and help adopt repeatable, responsible AI-assisted development practices.

• Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience.
• 5+ years of professional software engineering experience developing scalable .NET, cloud-based, or web services applications that support high-volume transactions in highly available environments.
• Hands-on experience designing and implementing scalable, resilient, and event-driven applications using .NET and Kafka, with knowledge of distributed systems, stream processing, performance optimization, and cloud-native architectures.
• Working experience with IBM MQ, Kafka, Splunk, JSON/XML, caching, performance analysis and profiling, Twelve-Factor App methodology, resiliency patterns, and observability patterns.
• Experience owning technical components or features and collaborating effectively within a software delivery team.
• 4+ years of experience building and deploying cloud-native applications using GCP, Docker, Kubernetes, microservices, and CI/CD practices.
• Experience with cloud platforms and deployment environments such as PCF, AWS, or GCP.
• 2+ years of experience working with databases such as MongoDB, Aerospike, PostgreSQL, or comparable relational and No
  
  SQL platforms.
• Experience contributing to IT transformation or system modernization initiatives involving legacy platforms, distributed .NET applications, or modern data platforms.
• 1+ years of hands-on experience with AI/ML implementation, production deployment, or AI-assisted engineering practices.
• Hands-on experience or practical exposure to Large Language Models such as GPT, Claude, Gemini, PaLM, or comparable enterprise AI platforms.
• Demonstrated hands-on experience using GenAI coding assistants across SDLC workflows, including implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation.
• Practical familiarity with tools such as Git Hub Copilot and/or Claude Code 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 apply effective AI-assisted development practices.
• Knowledge of Agile methodology and experience in an Agile working…