Senior Software Automation Engineer (AI & IT Systems) - Mexico

Appen is a leader in AI training data, specializing in human generated data for AI models. They are seeking a Senior Software Automation Engineer to design and implement AI-driven systems that enhance efficiency and reliability across technology teams.

Responsibilities:

• Design software-based automation and AI driven systems that improve efficiency, reliability, and scalability of IT and internal platforms
• Build internal tools, services, and integrations using APIs, event driven systems, and CI/CD practices
• Automate operational workflows using AI and LLM technologies to support decision making and incident analysis
• Improve system reliability by turning incident trends and operational pain points into durable automation
• Reduce recurring production and internal application issues through structured engineering solutions
• Strengthen engineering standards across IT automation through version control, testing, documentation, and observability
• Influence teams to adopt software engineering approaches instead of manual or ticket-based models
• Maintain internal applications through participation in a business hour on call rotation and use operational insights to drive continuous improvement
• Deliver solutions that meet governance, privacy, and reliability standards in collaboration with Security, Compliance, Platform, and Business Systems teams

Requirements:

• 6 plus years of experience in software engineering, automation, platform engineering, or related roles
• Strong foundation in software engineering principles including code quality, testing, and maintainability
• Proficiency in Python, JavaScript, Go, or similar languages used for automation and internal tooling
• Hands on experience building and operating production systems or internal tools
• Demonstrated experience applying AI or LLM based solutions in real world production environments
• Background in SRE, DevOps, Platform Engineering, or IT automation with experience operating systems at scale
• Experience using AI assisted development tools such as Cursor, GitHub Copilot, Claude Code, or similar tools
• Solid understanding of IT systems, enterprise environments, and service management processes
• Experience participating in on call rotations and supporting production or internal applications
• Strong communication skills with the ability to influence teams across different technical backgrounds
• Experience with cloud platforms such as AWS or enterprise productivity ecosystems such as Microsoft 365, including Power Automate and Graph APIs
• Familiarity with infrastructure as code, CI/CD pipelines, or internal developer tooling
• Exposure to identity and access management or zero trust networking solutions such as Twingate
• Experience with monitoring, observability, logging, or operational data systems