Appen 23mo ago

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

MexicoRemotePermanent - Regular Full-timesenior

EngineeringData ScienceOtherAutomation EngineerSoftware Automation Engineer

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Quick Summary

Overview

Why Join This Team This role offers broad influence across internal applications, operational systems, and enterprise environments, with clear ownership and growing technical leadership over time.

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Why Join This Team

This role offers broad influence across internal applications, operational systems, and enterprise environments, with clear ownership and growing technical leadership over time.

Role Purpose

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.

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.

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.

Why You’ll Love Working Here

At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models.

You’ll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You’ll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources and development opportunities to continue to build your capability over time.

About Appen

Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.