.NET Developer w/ AI (Hybrid)

Smart IMS•Austin, TX

7d•Hybrid

About The Position

As a .NET Developer w/ AI, you will develop and modernize high-volume, low-latency, and highly resilient enterprise applications using .NET, cloud-native technologies, event-driven architectures, and AI-assisted development practices. This role combines strong software engineering expertise with Generative AI, distributed systems, and modern cloud platforms to deliver scalable solutions that support mission-critical business operations.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field.
5+ years of experience developing scalable .NET applications, web services, or cloud-based enterprise solutions.
Strong expertise in .NET, Kafka, distributed systems, event-driven architectures, and high-performance application development.
4+ years of experience building and deploying cloud-native applications using GCP, AWS, PCF, Docker, Kubernetes, microservices, and CI/CD pipelines.
Experience with IBM MQ, Kafka, JSON/XML, caching technologies, observability, resiliency patterns, and performance tuning.
2+ years of experience working with databases such as MongoDB, PostgreSQL, Aerospike, or other relational and NoSQL platforms.
Practical experience with AI/ML implementations, Large Language Models (GPT, Claude, Gemini, or similar), and AI-assisted software engineering practices.
Hands-on experience using Generative AI tools such as GitHub Copilot, Claude Code, or similar coding assistants throughout the SDLC.
Proficiency with Agile methodologies, Jira, Confluence, and modern software delivery practices.
Strong communication, analytical, problem-solving, and collaboration skills.

Nice To Haves

financial services or high-volume transaction processing experience is preferred.

Responsibilities

Design and develop scalable, resilient, and event-driven applications using .NET, Kafka, and cloud-native architectures.
Build and modernize high-volume services, APIs, and distributed applications supporting mission-critical workflows.
Collaborate with architects, product owners, and engineering teams to translate business requirements into technical solutions.
Leverage Generative AI tools and coding assistants to accelerate development, testing, automation, and documentation activities.
Implement agentic workflows, prompt engineering, and AI-assisted development practices to improve productivity.
Develop and maintain cloud-native applications using containers, microservices, and CI/CD methodologies.
Support modernization initiatives involving distributed systems, event-driven platforms, and modern data architectures.
Strengthen application quality through automated testing, code reviews, observability, and performance optimization.
Contribute to troubleshooting, performance analysis, resiliency validation, and production support activities.
Promote engineering best practices, responsible AI adoption, and continuous improvement within development teams.