Note: The job is a remote job and is open to candidates in USA. Precisely is a data integrity company that provides software, data enrichment products, and strategic services to help organizations make confident decisions using trusted data. The Senior Automation Engineer will design, build, and scale Python- and AI-enabled automation connecting documentation, localization, content, and software development workflows. The role also involves integrating systems through APIs, operating reliable automation pipelines, applying LLM capabilities, and mentoring team members.
Responsibilities
- Lead the design and implementation of automation supporting workflows across the documentation and software development lifecycle, including content creation, validation, publishing, UI localization, translation, and delivery
- Design, build, and operate production-grade agents, skills, scripts, and automation pipelines that replace complex, manual, and repetitive processes across documentation, localization, and language operations
- Architect and integrate systems across documentation, localization, and content platforms using MCPs and REST APIs to enable reliable, scalable, and secure end-to-end workflows
- Apply AI and LLM-based capabilities to generate, validate, transform, enrich, and manage content in alignment with approved security, privacy, and compliance standards
- Own the reliability, performance, and maintainability of automation systems through monitoring, troubleshooting, and continuous improvement
- Define and contribute to standards, patterns, and reusable components that support consistent and scalable automation practices
- Mentor team members through technical guidance, design reviews, and knowledge sharing
- Partner cross-functionally to advance automation maturity, innovation, and AI-assisted documentation and localization workflows
- Other duties may be assigned
Skills
- Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge
- This position is 100% remote anywhere in the US
- * BA/BS 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, preferably supporting developer platforms, documentation, localization, or content operations
- * Strong proficiency in Python, with experience building maintainable, testable, production-grade automation and agent frameworks
- * Advanced experience with Git-based workflows such as GitHub, including pull requests, code reviews, and repository automation
- * Experience with work-tracking and planning tools such as Jira, Linear, or similar systems
- * Strong understanding of CI/CD concepts and tools such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps
- * Due to collaboration with global teams, flexibility in working hours (including late afternoon meetings) will be required
- * Strong experience using AI-assisted engineering tools (e.g., GitHub Copilot, Cursor) with awareness of responsible AI practices including security, privacy, bias, and traceability
- * Proven ability to design and operate production automation using Python and REST APIs
- * Hands-on experience building and maintaining automation pipelines using Git-based CI/CD systems
- * Demonstrated experience integrating LLMs via APIs to automate documentation and language operations
- * Candidates located in the Eastern or Central time zones are preferred to support collaboration with global teams
- * Experience designing or operating multi-agent or tool-orchestrated AI workflows at scale, including coordination and failure recovery
- * Experience owning or evolving shared automation frameworks used across multiple products or teams
- * Familiarity with observability, metrics, and cost tracking for AI-driven automation systems
- * Experience containerizing, deploying, or operating long-running automation or agent services in production environments
Benefits
- Career development opportunities for employees
- Opportunities for growth, learning and building community
- 100% remote anywhere in the US
Company Overview
Company H1B Sponsorship