Platform Engineer (AI Enabler)

About this role

This role develops, operates and improves the large-scale platform on which server applications for PlayStation online services run. The platform supports client software, game-content distribution and sales, online-game functions, and social features for consumers and game developers.

The position belongs to an Engineering Enablement team focused on improving developer experience and maximizing productivity. The team supports an ecosystem of more than 1,000 developers and several hundred components across multiple languages and workloads in a complex global environment. Responsibilities include developing CI/CD pipelines, automating development work, visualizing platform health, supporting development with AI technology, evaluating developer-experience metrics, and optimizing application networking.

As an AI Enabler, the engineer focuses on applying AI to development support and leading the adoption and operational use of AI across development teams. Work may include supporting the migration of existing CI/CD infrastructure such as Jenkins and GitLab to GitHub Actions or Argo CD with AI and agent technology; designing AI workflows that help analyze, transform and review errors in CI/CD pipelines and deployment configurations; and preparing user guidelines, running workshops, sharing knowledge, and assisting with implementation.

Required qualifications include at least three years of server-side development experience, practical experience with CI/CD or Platform Engineering, experience using code-generation and code-review support tools, and experience improving development processes. The role also requires a basic understanding of LLMs, practical experience applying AI technology to applications or business improvement, and knowledge or experience designing and improving AI functions that include prompt design and tool integration.

Preferred experience includes working in English, operating microservices with Kubernetes, designing and developing AI workflows with tools such as n8n or API integrations, developing AI agents, and integrating with agent platforms such as AWS Bedrock or Agent Core. Experience introducing and operating AI solutions in production with reliability, scalability and observability in mind is also valued, as are experience identifying and implementing AI use cases with multiple teams and experience preparing reusable workflow templates or platform functions.

The team works with overseas groups, including teams in the United States and India. English may be used for email, conference calls, meetings and business trips; previous professional experience in English is desirable, but current language ability is not fixed when there is motivation to improve. The work location is Tokyo, Japan.