Senior Automation Engineer (Python, AI Agents & Automation)

Accountabilities

• Lead the design, development, and implementation of automation supporting workflows throughout the documentation and software development lifecycle, including content creation, validation, publishing, user interface localization, translation, and delivery.
• Build, operate, and continuously improve production-grade AI agents, skills, scripts, and automation pipelines that replace complex, repetitive, and manual processes across documentation, localization, and language operations.
• Architect and integrate systems across documentation, localization, and content platforms using Model Context Protocols (MCPs), REST APIs, and other integration technologies to create secure, scalable, and reliable end-to-end workflows.
• Apply artificial intelligence and large language model capabilities to generate, validate, transform, enrich, and manage content while adhering to approved security, privacy, and compliance standards.
• Own the reliability, performance, maintainability, monitoring, and troubleshooting of automation systems, identifying opportunities for continuous improvement.
• Define and contribute to automation standards, design patterns, reusable components, and engineering practices that enable consistent and scalable solutions.
• Collaborate with engineers, DevOps teams, information developers, localization specialists, and other cross-functional stakeholders to advance automation maturity and AI-assisted workflows.
• Provide technical mentorship through design reviews, knowledge sharing, and guidance on automation and AI engineering practices.
• Contribute to additional projects and responsibilities as required.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
• 5+ years of experience in automation engineering, software engineering, systems integration, or a closely related discipline, preferably within developer platforms, documentation, localization, or content operations.
• Strong proficiency in Python, with demonstrated experience building maintainable, testable, and production-grade automation and agent frameworks.
• Advanced experience with Git-based development workflows, including GitHub, pull requests, code reviews, and repository automation.
• Strong understanding of Continuous Integration and Continuous Delivery (CI/CD) concepts and experience with tools such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
• Experience using work-tracking and planning platforms such as Jira, Linear, or similar tools.
• Proven experience using AI-assisted engineering tools such as GitHub Copilot or Cursor, with an understanding of responsible AI practices covering security, privacy, bias, and traceability.
• Hands-on experience developing production automation with Python and REST APIs, as well as integrating LLMs through APIs to automate documentation and language-related workflows.
• Experience building and maintaining automation pipelines within Git-based CI/CD environments.
• Strong problem-solving, collaboration, communication, and technical leadership skills.
• Ability to work independently, take ownership of complex automation initiatives, and continuously improve existing systems.
• Flexibility to accommodate global collaboration, including occasional late-afternoon meetings.

Preferred qualifications:

• Experience designing or operating multi-agent or tool-orchestrated AI workflows at scale, including coordination, resilience, and failure recovery.
• Experience owning or evolving shared automation frameworks used by multiple products or teams.
• Familiarity with observability, operational metrics, performance monitoring, and cost tracking for AI-driven automation systems.
• Experience containerizing, deploying, and operating long-running automation or AI agent services in production environments.

Benefits

• 100% remote work within the applicable location.
• Opportunity to work in an AI-first, agentic engineering environment.
• Exposure to advanced AI, LLM, automation, and API-driven technologies.
• Opportunity to build and scale automation used across global documentation, localization, and language operations.
• Collaboration with globally distributed engineering, DevOps, content, and localization teams.
• Opportunities to influence automation standards, reusable frameworks, and AI-enabled workflows.
• Career development opportunities through technical ownership, mentoring, innovation, and continuous learning.
• Inclusive and collaborative international work environment.
• Opportunity to contribute to initiatives focused on improving efficiency, reliability, and quality through AI and automation.