Work directly with business stakeholders to translate between data and business needs, analyze results, and communicate findings to senior leadership in the Tokyo-based Japan Central Ops role.
About this role
This fixed-field IT Support Engineer I role supports IT infrastructure at delivery sites. The posting lists experience building and operating servers and networks, responding to incidents, supporting data-center equipment, and implementing and improving IT infrastructure at delivery locations. Consulting experience related to infrastructure implementation and improvement is also listed, along with experience as a field engineer.
The required experience includes at least five years in server and network construction, operations, and incident response. At least five years of project management and leadership experience is also required. The posting additionally requests experience supporting data-center equipment and experience introducing and improving IT infrastructure at delivery sites.
Certifications such as CCNP and LPIC Level 2 are listed among the qualifications. No salary, employment term, working hours, remote-work arrangement, language requirement, or visa sponsorship statement is provided.
The posting states that workplace accommodation or adjustment is available during the application and hiring process, including interviews and onboarding, for applicants with disabilities. It directs applicants to the employer’s accommodation information or to a Recruiting Partner for assistance.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong.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
Applied GenAI engineering role for Amazon Logistics requiring AWS data services and big-data technologies, including Redshift, S3, Glue, EMR, Kinesis, Hadoop, Hive, and Spark.
Design production-grade AWS data architectures for enterprise customers, spanning analytics, warehouses, data lakes, pipelines, streaming, search, governance, security, cost, and operations.
Leads end-to-end customer deployments, builds and manages a field engineering organization, develops delivery tools and playbooks, and reviews production code across frontend and backend systems.
Leads technical collaborations and research on hybrid quantum-classical applications for AI, high-performance computing, simulations, and digital twins.
Lead platform engineering for AI-native software development and operations, building automation, quality, monitoring, and secure systems for sensitive medical data.