Coding Assistant Jobs in Austin, TX (NOW HIRING)

Location: Austin, TX Salary: $63.00 USD Hourly - $68.00 USD Hourly Description: Our client is currently seeking a Senior .NET AI Developer
Location: On-site in Southlake, TX or Austin, TX
Duration: 6 months with possibility of extension
Minimum qualifications:
Bachelor's degree in Computer Science, Software Engineering, a related technical field, or equivalent practical experience.
7 years of professional software engineering experience developing highly available, scalable .NET, cloud-based, and web service applications for high-volume transactions.
6 years of experience building and deploying cloud-native applications utilizing modern cloud platforms (e.g., Google Cloud Platform, AWS, or similar environments), Docker, Kubernetes, microservices, and CI/CD pipelines.
2 years of experience working with modern databases (e.g., MongoDB, PostgreSQL, Aerospike, or comparable relational and NoSQL platforms).
2 years of experience in system modernization initiatives, transitioning legacy platforms to distributed .NET applications and modern data architectures.
2 years of hands-on experience with AI/ML implementations, AI-assisted engineering practices, and Large Language Models (LLMs).
Demonstrated technical leadership experience in designing event-driven architectures using streaming and messaging platforms (e.g., Kafka, enterprise message queues).
Hands-on experience utilizing Generative AI coding assistants (e.g., GitHub Copilot) across SDLC workflows and IDE/CLI environments.
Working knowledge of agentic workflows, custom instructions, and prompt engineering.
Experience operating in an Agile environment and utilizing Agile project management tools.
Preferred qualifications:
Master's degree in Information Technology, Computer Science, Artificial Intelligence, Software Engineering, or a related field.
Deep understanding of enterprise financial operations, transaction processing, and highly regulated domain capabilities.
Experience with Test-Driven Development (TDD), Behavior-Driven Development (BDD), and enterprise QA automation.
Strong background in performance engineering, reliability testing, observability patterns (e.g., Splunk), and the Twelve-Factor App methodology.
Proficiency in generating comprehensive architecture diagrams, technical specifications, and production runbooks.
Prior exposure to leading AI-assisted SDLC transformation initiatives and enterprise developer productivity programs.
Excellent communication skills with a proven track record of mentoring engineers on .NET practices, distributed systems, and responsible AI software delivery.
About the job
As a Senior .NET AI Developer at a leading enterprise financial institution, you will spearhead AI-integrated workflows across the System Development Life Cycle (SDLC). You will operate at the cutting-edge intersection of .NET engineering, event-driven architecture, cloud-native platforms, and Generative AI-assisted delivery. Your mission is to architect and build intelligent, resilient business solutions tailored for complex, high-volume financial environments. Bringing a collaborative mindset and a bias for action, you will partner with cross-functional teams to drive outcomes and shape the future of AI-assisted engineering within the organization.
Responsibilities:
Architect & Build: Lead the design and implementation of highly scalable, resilient, and event-driven applications utilizing .NET, enterprise messaging platforms, and cloud-native architecture patterns.
Modernize: Champion system modernization by transitioning legacy applications toward distributed .NET services, cloud-native platforms, and modern data stores to support reliable transaction processing.
Leverage AI: Utilize Generative AI coding assistants to accelerate development workflows-including implementation, refactoring, unit testing, code reviews, automation, and troubleshooting-while maintaining strict ownership of code quality.
Optimize Workflows: Implement agentic workflows, spec-driven development, custom instructions, and prompt engineering to enhance developer productivity and team execution.
Drive Quality: Ensure engineering excellence through automated testing, rigorous code reviews, performance analysis, observability, and production readiness practices.
Collaborate & Mentor: Partner closely with architects, product owners, and adjacent technology teams to translate business requirements into high-quality technical solutions. Guide and mentor engineers to establish repeatable practices for effective and responsible AI-assisted development.
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Contact:
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