Cayuse Civil Services, LLC is looking to drive innovation in their SDLC processes using artificial intelligence and automation to improve reliability, observability, and operational workflows, optimize SDLC processes, reduce toil, and increase automation maturity.
Requirements
- 8 years’ proven ability to administer GitHub Enterprise Cloud
- 8 years’ proven ability to analyze and resolve complex issues
- 8 years’ hands-on experience with Continuous Integration Delivery models
- Strong background in cloud-native infrastructure (AWS, Azure, or GCP).
- Proficiency in automation and scripting (Python is preferred, Bash, etc.).
- Solid understanding of CI/CD pipelines
- Experience with cloud-native technologies
Responsibilities
- Design and implement AI/ML models to enhance software development lifecycle (SDLC) processes, including: Improving developer experience and productivity.
- Intelligent test management leveraging data analytics and predictive techniques.
- Predictive detection of infrastructure failures.
- Applying Agentic AI, Model-Centric Programming (MCP), and Retrieval-Augmented Generation (RAG) techniques.
- Intelligent alerting and noise reduction for IT incident management.
- Automated classification and root-cause analysis of incidents.
- Optimizing CI/CD pipelines based on historical data and trends.
Other
- Bachelor’s degree in computer science, Engineering, or equivalent experience.
- 3+ years in Development/Automation roles.
- 8 years’ experience supporting and training end users on all levels.
- Must be able to pass a background check.
- Ability to work on-site in Austin, Texas
