6 дней назад
Senior Automation Engineer (Python, AI Agents & Automation)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Automation Engineer (Python, AI Agents & Automation): Building and scaling production-grade automation, agent frameworks, and API integrations for documentation, localization, and language operations with an accent on Python, REST APIs, CI/CD, and LLM-based workflows. Focus on designing multi-agent automation, integrating content platforms through MCPs, and ensuring reliability, security, and maintainability at scale.
Location: 100% remote anywhere in the United States. Candidates in the Eastern or Central time zones are preferred, with flexibility for late afternoon meetings required.
Company
provides data integrity software, data enrichment products, and strategic services for more than 12,000 global organizations.
What you will do
- Design and implement automation for documentation, software development, localization, translation, publishing, and delivery workflows.
- Build and operate production-grade agents, scripts, skills, and automation pipelines that reduce complex manual work.
- Integrate documentation, localization, and content platforms using MCPs and REST APIs.
- Apply AI and LLM capabilities to generate, validate, transform, enrich, and manage content under security, privacy, and compliance standards.
- Own system reliability, performance, monitoring, troubleshooting, and continuous improvement.
- Define reusable automation standards, mentor team members, and collaborate with engineering, localization, DevOps, and content stakeholders.
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, or systems integration.
- Strong Python skills and experience building maintainable, testable, production-grade automation and agent frameworks.
- Advanced experience with Git-based workflows, including GitHub, pull requests, code reviews, and repository automation.
- Experience with Jira, Linear, or similar work-tracking tools, plus CI/CD systems such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
- Experience using AI-assisted engineering tools and integrating LLMs through APIs, with awareness of responsible AI practices.
Nice to have
- Experience with multi-agent or tool-orchestrated AI workflows, coordination, and failure recovery.
- Experience evolving shared automation frameworks used across products or teams.
- Familiarity with observability, metrics, and cost tracking for AI-driven automation.
- Experience containerizing, deploying, or operating long-running automation and agent services in production.
Culture & Benefits
- Work from anywhere in the United States in a fully remote environment.
- Work with a globally distributed organization present in 30 countries and operating across more than five continents.
- Collaborate in an Agile, agentic-first environment with global engineering, documentation, localization, and DevOps teams.
- Career development, learning, and community-building opportunities.
- Use generative AI tools to improve output quality and eliminate low-value work.
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