Lead internal IT support and infrastructure, standardise operations, manage IT budgets and vendors, and oversee devices, licences, accounts and business systems.
About this role
Develop and operate the server side of smartphone and online games. Responsibilities cover server and infrastructure design for platform and user scale, game API design and development, AWS or GCP environments, live monitoring, post-release updates, load management and incident response. The reference stack centres on PHP and AWS, with Go, GCP, nginx, MySQL, Redis, Docker, Terraform and GitHub Actions.
Applicants need online-service server design, development and operations experience; cloud construction and operation including Linux knowledge; and server-side programming with PHP, Go or comparable languages. Previous game-industry work, high-traffic systems, real-time networking and leadership are preferred rather than mandatory. No minimum years are stated. The role expects active learning and involvement in infrastructure as well as applications.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Design, develop and maintain official game sites, user-information tools and internal administration systems, coordinating requirements and improving quality after launch.
Support data center operations by tracking and escalating problem tickets, managing maintenance windows and changes, and applying Linux, networking, and scripting skills.
Manage customer solutions for AWS automotive and manufacturing customers, using cloud implementation, migration, modernization and technology problem-solving experience.
Senior Engagement Manager for large-scale system projects, requiring project leadership, professional AWS certification, AI-assisted migration, core-system cloud migration, and AWS modernization.
Business Analyst focused on logistics and last-mile delivery analytics, with work involving AWS data environments, ETL, data modeling, statistical and A/B testing, machine learning, and AI tools.