AI Reliability Engineer - On-Site Contract (Plano)

Ziosk; Texas; On-site; USD 120,000 - 170,000; Full time

Job summary

Ziosk in Plano, TX seeks an AI Software Engineer-Reliability (Contract) to join our Engineering team. You will apply AI-driven tooling, retrieval-based workflows, and automated root-cause analysis to speed issue diagnosis and reduce MTTR across Android/C++/C# and .NET platforms.

The role focuses on ensuring production resilience, integrating AI diagnostics into CI/CD, and building scalable automation. Ideal candidates have 3+ years in software engineering, strong debugging skills, and experience

Qualifications

• 3+ years of professional software engineering in production.
• Proficiency in C++, C#, Kotlin, and Android development.
• Experience with AI-assisted development tools and CI/CD pipelines.
• Ability to design and implement AI-enabled log analysis and automation workflows.

Responsibilities

• Diagnose and resolve complex production issues across Android (C++, Kotlin, React Native) and .NET systems using logs, telemetry, and AI-assisted analysis.
• Design and improve AI-enabled log analysis and incident triage workflows to accelerate root cause identification.
• Leverage AI-assisted development tools to generate, test, and validate code fixes efficiently.
• Identify repetitive break/fix patterns and develop AI-driven automation to reduce manual debugging effort.
• Integrate AI-supported diagnostics and automation into CI/CD pipelines and defect tracking systems.
• Implement durable fixes that reduce repeat incidents and improve overall system reliability.
• Build and refine retrieval-based (RAG) workflows to surface historical incident context and detect recurring patterns.
• Document resolutions and automation improvements to expand AI-assisted resolution coverage and reduce MTTR.

Skills

Root cause analysis

Debugging

REST APIs

CI/CD

Multithreading

Tools

C++

C#

Kotlin

Android

Job description

Ziosk in Plano, TX seeks an AI Software Engineer-Reliability (Contract) to join our Engineering team. You will apply AI-driven tooling, retrieval-based workflows, and automated root-cause analysis to speed issue diagnosis and reduce MTTR across Android/C++/C# and .NET platforms.

The role focuses on ensuring production resilience, integrating AI diagnostics into CI/CD, and building scalable automation. Ideal candidates have 3+ years in software engineering, strong debugging skills, and experience