X
.Net
Job #: 103347
Details
9/4/2026 1:18:44 AM
Need: Senior .Net/c# Developer, Austin, TX or Southlake, TX - Onsite
Location: Austin, TX or Southlake, TX Duration: 6+ months contract Description: As a Senior .NET AI Developer, this role will lead AI-focused workflows across the System Development Life Cycle. You will work at the intersection of .NET engineering, event-driven architecture, cloud-native platforms, and Generative AI-assisted delivery to build intelligent business solutions in a complex financial domain. What You Have Key Responsibilities • Lead the design and implementation of highly 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. • Apply agentic workflows, prompt engineering, custom instructions, and spec-driven development practices to improve developer productivity and team execution. • Drive engineering quality through automated testing, code review discipline, performance analysis, observability, resiliency design, and production readiness practices. • Support modernization initiatives by moving legacy capabilities toward distributed .NET services, cloud-native platforms, event-driven architecture, and modern data stores. • Guide and collaborate with engineers in a team-oriented environment while establishing repeatable practices for effective and responsible AI-assisted development. Required Qualifications • Bachelor’s degree in Computer Science, Software Engineering, or 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 Kafka, with strong 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 being a technical lead for a team and/or project. • 6+ 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 NoSQL 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 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 GitHub 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 establish team-level practices for effective AI-assisted development. • Knowledge of Agile methodology and experience in an Agile working environment. • Experience with the Atlassian tool stack, including Jira and Confluence. • Domain / Industry: Understands broker-dealer domain capabilities and operations, with preferred experience in the financial services industry. • Communication: Communicates clearly and effectively, with proven ability to guide and collaborate with engineers in a team-oriented environment. • Execution Focus: Brings a collaborative mindset and bias for action, effectively partnering with developers, architects, and adjacent teams to drive outcomes. Preferred Qualifications: • Master’s degree in Information Technology, Computer Science, Software Engineering, Artificial Intelligence, or related degree, or equivalent practical experience. • Experience in Test Driven Development, Behavior Driven Development, QA automation, and quality engineering mindset and behaviors. • Proficient in creating architecture diagrams, design documentation, functional and technical specifications, automated test process documentation, runbooks, and 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. • Experience mentoring engineers on .NET engineering practices, cloud-native implementation, distributed systems, and responsible AI-assisted software delivery.
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