New 
Senior net/C# Developer w/ AI
 Spectraforce Technologies | |
 United States, Texas, Austin | |
| 2435 East Riverside Drive (Show on map) | |
 Sep 11, 2026 | |
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Title: .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. What You Have Key Responsibilities * 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. Required Qualifications * 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 NoSQL 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 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 apply effective AI-assisted development practices. * 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 collaborate with engineers and cross-functional partners 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 supporting or mentoring peers on .NET engineering practices, cloud-native implementation, distributed systems, or responsible AI-assisted software delivery. Must Have
Pluses
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