Job Description

Job Description

Career Opportunity for an IT Support Services Consultant in Japan!

IT Support Services Consultant

Company Overview

We are a leading global insurance organization with over 100 years of experience offering a wide range of property and casualty insurance life insurance retirement solutions and financial services across more than 80 countries. Our mission is to help individuals and businesses protect their assets manage risks effectively and secure their future.

Our General Insurance division serves both commercial and personal customers through one of the worlds most extensive property-casualty networks. With a diversified multichannel distribution system we deliver comprehensive insurance products and services across the globe.

Your Role and Responsibilities

Keep up continuous uptime and accessibility of critical business applications and services. This involves actively monitoring system performance detecting potential issues and implementing strategies to prevent downtime.

Respond to and resolve incidents and outages promptly. This includes troubleshooting problems coordinating with other teams and restoring service quickly.

Utilize AI and machine learning to analyze application logs and user behavior patterns predicting potential issues and implementing proactive measures to prevent disruptions and performance degradation.

Champion the adoption of AI technologies across the support organization. Provide training create documentation and establish best practices to upskill team members and foster a culture of AI innovation.

Automate repetitive manual tasks (toil) to improve efficiency and reduce human error. This might involve scripting developing tools and improving infrastructure management processes.

Establish and maintain robust monitoring and alerting systems to gain real-time insights into system health and performance. This allows for proactive identification and detection of anomalies or potential issues.

After major incidents causing outages conduct blameless post-mortem reviews to analyze the root causes of failures document learnings and implement corrective measures to prevent future occurrences.

Work with cross-functional teams including product engineering and business stakeholders to identify high-impact opportunities for AI integration.

Establish clear measurable targets for system performance and reliability often based on Service Level Indicators (SLIs). These Service Level indicators and objectives guide development and operations priorities to maintain high levels of user satisfaction.

Experience and Qualifications

Strong understanding of core concepts in AI and machine learning including algorithms model training and deployment

Proficiency in scripting languages (e.g. Python Bash) and Infrastructure as Code (IaC) tools (e.g. Terraform Ansible) is crucial.

A strong engineering-minded approach to solving problems with a focus on system improvement and long-term strategic impact.

Ability to quickly diagnose and resolve system incidents minimize downtime and implement solutions to prevent recurrence is paramount. This includes developing and adhering to incident response plans and conducting post-incident reviews (PIRs)

Ability to rely on data from metrics logs and other sources to understand system behavior analyze performance identify trends and make informed decisions to improve system reliability.

Design implement and manage AI-driven tools such as intelligent chatbots and autonomous support agents to automate routine technical support tasks and empower end-users with self-service capabilities.

Excellent communication skills to articulate technical concepts collaborate on projects and foster a shared understanding of reliability goals. (Both in Japanese and English)

Proactive in learning new technologies methodologies and tools to adapt to changing environments and continuously improve their skills and the systems they manage.

3 years of relevant technology experience demonstrating progressive responsibility and leadership in overseeing regional technology teams.

Demonstrated expertise in IT service management (ITSM) and observability tools especially those that leverage AI for analytics

Hands-on experience with models like GPT Claude and their associated frameworks (e.g. RAG) is a key requirement

Practical experience running production systems troubleshooting issues and participating in on-call rotations is highly valued building crucial intuition for real-world system failures.

Good Reasons to Join

Opportunity to Work on Modern AI-Driven Support

This role isnt the usual support job. You get to work with:

GPT Claude RAG models AI-based monitoring & prediction Automation using scripting & IaC Intelligent chatbots and support agents

This is future-ready work not traditional ticket closing

Work Location

Tokyo Japan- Hybrid

Details will be provided during the meeting.

Required Experience:

Contract

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