AI / Software EngineerWinaxis • TX, United States
AI / Software Engineer
Winaxis • TX, United States
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job_description.job_card.job_descriptionIntelligent test management and analytics Predictive failure detection Agentic AI, MCP implementation, RAG systems Intelligent alerting and noise reduction Automated incident classification & RCA CI / CD optimization GenAI for IaC use-cases Build automation scripts and tooling to reduce manual operations and improve workflow efficiency. Develop, deploy, and maintain AI / ML pipelines for DevOps-focused use cases. Integrate AI models with monitoring, logging, and observability platforms. Collaborate with DevOps, Infrastructure, and Cloud Engineering teams to identify automation opportunities. Create solution architecture and design documentation. Ensure scalability, performance, and operational reliability of automation tooling. Provide system troubleshooting, defect analysis, and performance tuning. Manage GitHub repos, branching strategies, and access governance. Automate CI / CD workflows using GitHub Actions or equivalent tools. Enforce code quality and integration standards. Support and train users across all levels. Participate in Agile environment and large-scale development projects. Work outside normal business hours when requested (with prior approval). Bachelor s degree in Computer Science, Engineering, or equivalent experience 8+ years experience administering GitHub Enterprise Cloud 8+ years resolving complex engineering and operational issues 8+ years providing end-user support and training 8+ years experience with CI / CD models 3+ years working in Agile development environments Strong scripting / automation skills ( Python preferred , Bash, etc.) Experience with cloud-native infrastructure (AWS, Azure, or GCP) Solid understanding of monitoring, observability, and logging AI / ML experience (classification, clustering, anomaly detection) Familiarity with ML frameworks such as Scikit-Learn, TensorFlow, PyTorch Experience with predictive analytics, anomaly detection, or time-series forecasting MLOps practices Integrating AI into DevOps toolchains Infrastructure-as-Code ( Terraform, Pulumi, CloudFormation ) Experience with Hyper-V VM administration Asset & service account management Experience with enterprise ticketing systems (e.g., BMC Helix) Hybrid role : 2 days onsite (Tuesday & Friday) , 3 days remote May require remote work up to 100% based on management needs Occasional evening / weekend work may be required
AI / Software Engineer
Hybrid
Location : Austin, TX (Hybrid 2 days Onsite : Tuesday & Friday)
Duration : 01 / 05 / 2026 08 / 31 / 2026
Hours : Full-Time, 40 hrs / week (possible overtime with approval)
Only Local Candidates Accepted
Overview
We are seeking a Software Engineer (AI / Automation) with strong experience in GitHub Enterprise, DevOps automation, and AI / ML-driven engineering. This role focuses on innovating and optimizing internal SDLC processes using AI, automation, and intelligent tooling to improve reliability, observability, and operational efficiency across the organization.
This position is ideal for engineers passionate about automation, AI-driven workflows, and building tools that make engineering teams more productive.
Responsibilities
AI / Automation Engineering
- Design and implement AI / ML models to enhance SDLC processes, including :
Developer productivity improvements
DevOps & Platform Engineering
GitHub Enterprise Administration
Additional Duties
Required Skills & Qualifications
Preferred Skills
Work Environment
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