Senior .NET AI Developer
Spectraforce Technologies | |
United States, Texas, Southlake | |
Aug 04, 2026 | |
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Title: Senior .NET AI Developer 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. 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. | |
Aug 04, 2026