Senior Software Automation Engineer (AI & IT Systems) at Appen 2

Appen 2

Remote, MX·2h ago

SeniorFull-timeJavaScriptPythonJavaRustAWSCI/CDGitGoAI

Salary Range

$132,600 - $179,400 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for an Automation Engineer to join our team at Appen. This role focuses on replacing manual workflows with scalable automation and AI-powered systems to improve reliability and efficiency across technology teams.

Key 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.