AI Automation Engineer (Senior/Lead)

About this role

Our Company – playSTUDIOS VIETNAM Come join an ambitious mobile entertainment company which committed to leveraging the best technology we can to create fun experiences. We have big plans and would be thrilled for you to consider us. playSTUDIOS Vietnam is a Vietnam subsidiary of the United States-based leading mobile & social games company playSTUDIOS Inc. We are backed by dominant, multi-billion-dollar market leaders in the leisure and video game industries and a collection of powerhouse venture capital firms. Our founding team has over a century of collective gaming experience. We are building a best-of-breed development and operations group and are looking for top-tier talent who can help us create and optimize high-quality games in the rapidly evolving social and mobile gaming markets. Our company has high growth rates, with an established company's stability and financial security. We guarantee high-quality work, AAA entertainment brand exposure, competitive compensation, and great benefits. We're thrilled to share: Our website and portfolio game: https://www.playstudios.com/ Our core game, let's try: https://www.myvegas.com/ Our Vietnam's Facebook page: https://bom.so/A6A5VO Our Vietnam's LinkedIn page: https://bom.so/04caqr ABOUT THE ROLE The AI Automation Engineer (Senior/Lead) drives automation, builds operational tools, and applies AI-assisted workflows to improve engineering productivity. Working cross-functionally, the role aims to eliminate repetitive work, streamline operations, and reduce the cost of running live games through scalable automation and intelligent tooling. RESPONSIBILITIES 1. Technical Leadership & Team Development: Senior level: Lead the design, development, and implementation of AI-powered automation solutions. Provide technical guidance and mentorship to team members through code reviews and knowledge sharing. Contribute to engineering standards, documentation, and best practices for automation tooling and AI-assisted workflows. Ensure solutions are scalable, maintainable, well-documented, and reusable across projects and titles. Lead level: Lead and mentor a team of AI Automation Engineers. Provide technical direction and code-level leadership across automation initiatives. Define and maintain engineering standards, processes, and best practices for automation and AI-assisted workflows. Drive the development of scalable, maintainable, and reusable solutions across multiple titles. Support team growth, hiring, and capability development as the studio expands. 2. Hands-on Automation Engineering Design and implement automation tools and scripts that eliminate repetitive operational work. Build reusable operational tooling that can be used across multiple game teams. Collaborate directly with Game Engineers and technical owners to automate operational tasks. Maintain and evolve internal tooling used for LiveOps operations, QA workflows, and release support. 3. AI-Assisted Engineering and Tooling Promote practical adoption of AI-assisted development tools within automation workflows. Experiment with AI-driven approaches to automation generation, log analysis, and operational diagnostics. Identify opportunities where AI can improve debugging, operational insight, and engineering productivity. Work with technical leadership to ensure responsible and effective use of AI across the studio. 4. Operational Efficiency and Workflow Improvements Identify and reduce manual work across LiveOps, QA, and operational processes through targeted automation. Design and implement scalable workflows and reusable tooling to improve consistency and engineering leverage across titles. Address root causes of operational issues and implement preventive improvements to reduce recurrence and increase reliability. 5. Monitoring and Operational Visibility Improve monitoring, logging, and diagnostics to provide clear and reliable visibility into production systems. Build tools that enable engineers to quickly understand system behavior and investigate issues in production. Strengthen observability and alerting practices to enable faster detection and more effective troubleshooting of incidents. 6. Collaboration with DevOps and Platform Teams Work with the central DevOps team when automation interacts with deployment pipelines or infrastructure systems. Collaborate with the platform teams when automation interacts with shared services, internal tools or platform capabilities. Ensure studio automation tooling aligns with existing platform and DevOps standards. Focus primarily on automation and engineering tooling , rather than infrastructure ownership. REQUIREMENTS 4+ years of experience in software engineering, developer tooling, or automation. Good command of written and spoken English. Strong scripting or programming skills (at least one of the following: C#, Java, Python, TypeScript, or similar). Experience building automation tools, developer tooling, or operational systems. Experience using AI-assisted development tools as part of engineering workflows. (Claude Code, OpenCode, LangChain, Codex, Devin...) Strong understanding of software development workflows and engineering productivity tools. Preferred Experience Experience mentoring or leading engineers in a technical capacity. Experience working on live products or operational systems . Experience building internal developer tools or automation frameworks . Exposure to monitoring, logging, and operational diagnostics tooling. Basic understanding of CI/CD systems or cloud infrastructure. Additional Notes: Infrastructure and DevOps responsibilities are primarily handled by the central DevOps team. Experience in these areas is helpful but not required. You may be expected to complete a test as part of the interviewing procedure. BENEFITS AND PERKS Global Collaboration: Work directly with diverse international teams from Hong Kong, Singapore, Israel, Serbia, the US, and more. People‑centered Culture: Where individual effort, shared d