Exciting job opportunity, .NET Developer with AI (W2) at Austin, TX (Hybrid)

Title: .NET Developer with AI

Location: Austin, TX (Hybrid)

Duration: 24 Months

• 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.

Required Qualifications:

• 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.
   

Regards, 

Neeraj Singh 

Executive - TA