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Senior Software Automation Engineer (AI & IT Systems)

Mexico · Job Posted March 10, 2026
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Job Description

The purpose of this role is to replace manual, process heavy workflows with scalable automation and AI powered systems that improve reliability and efficiency across Technology teams.

Job Responsibility

  • 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

Nice to have

  • 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

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