AI Software Engineer-Reliability

Ziosk is hiring an AI Software Engineer-Reliability (Contract) in Plano, TX (onsite) to improve production incident response and system resilience across the platform.

Responsibilities

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

Requirements

• 3+ years of professional software engineering experience, including production work
• Proficiency in C++, C#, Kotlin, and Android development
• Strong debugging and root cause analysis skills across multiple platforms
• Hands-on experience with AI-assisted development tools (example: Copilot, LLM-based workflows) as part of daily work
• Practical experience building or contributing to AI-driven automation workflows such as log analysis, retrieval-based systems, or task automation
• Understanding of RESTful APIs, multithreading, memory management, and performance troubleshooting
• Experience with version control and CI/CD pipelines to deploy and validate fixes safely
• Ability to analyze recurring defects and propose automation or systemic improvements
• Strong communication skills and collaboration across engineering and operations teams

Technologies

• C++, C#, Kotlin, Android, React Native, .NET
• RESTful APIs, CI/CD
• Copilot, LLM-based workflows
• Retrieval-based (RAG) workflows

Nice to have

• Experience with Point of Sale (POS) solutions, especially in hospitality environments
• Familiarity with EMV Payments and payment processing systems
• Exposure to Digital Content Management platforms and workflows
• Experience with embedded systems or hardware integration
• Knowledge of cloud platforms such as Azure or AWS and backend services
• Familiarity with Agile methodologies and ticketing systems such as Jira