Role Description
The Business Systems Analyst partners with business stakeholders and engineering teams to identify business needs, define AI-enabled solutions and translate requirements into actionable specifications. This role uses AI tools and copilots across the AI Product Development Lifecycle to improve analysis quality, documentation, solutions design, testability, delivery readiness and business outcomes. 

Key Responsibilities

• Analyze business requirements, user journeys, pain points, controls, exceptions, data flows, integrations, and system behaviors across enterprise insurance platforms. 
• Lead discovery workshops, clarify assumptions, define functional and non-functional requirements and help stakeholders articulate measurable business outcomes and success criteria. 
• Translate business objectives to To-Be processes, functional designs, user stories, acceptance criteria, business rules, dependencies and implementation-ready backlog items. 
• Serve as the primary functional point of contact for delivery teams, resolving requirement ambiguities and supporting design decisions throughout development. 
• Partner with QA, SDETs, product owners, and business users to define test scenarios, UAT coverage, regression scope, test data needs and acceptance evidence. 
• Maintain traceability across business objectives, epics, features, user stories, test scenarios, decisions and delivered capabilities using AI-assisted practices where appropriate.

Candidate Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology or equivalent experience. 
• 7+ years of experience in business systems analysis, solution analysis, technology delivery, system design, application operations or related enterprise-scale roles. 
• Experience applying AI-assisted delivery practices across discovery, requirements analysis, documentation, process mapping, stakeholder communication, testing, impact analysis and reporting. 
• Strong ability to convert business needs into clear requirements, process models, user stories, acceptance criteria, traceability and delivery artefacts. 
• Knowledge of insurance platforms and processes across onboarding, policy servicing, claims, agent operations, integrations, reporting and operational support. 
• Native-level Japanese proficiency is desirable for Japan-facing roles; intermediate English proficiency is acceptable for working with offshore development teams. 

Tech Stack

• Delivery Methods: Agile, Scrum, Scaled Agile Framework, backlog refinement, sprint planning, release readiness, operational readiness
• Business Analysis Artefacts: Current-state and To-Be process models, user journeys, business rules, user stories, acceptance criteria, decision logs, traceability matrices. 
• AI & Productivity Tools: Microsoft M365 Copilot, GitHub Copilot, AI-assisted analysis, documentation, and validation practices
• Quality, Testing & Governance: UAT support, test scenario definition, requirements traceability, defect triage, change governance, audit-sensitive documentation, human review

Role Description
The Full Stack Engineer develops scalable, cloud-native applications across Asia using React and Java/Spring Boot. The role builds responsive user interfaces, integrates secure REST APIs and microservices, and ensures strong code quality, performance, and security.

Key Responsibilities:

• Develop full-stack applications using React and Java/Spring Boot.
• Build responsive, accessible, high-performing web interfaces.
• Develop secure REST APIs and microservices for enterprise integration.
• Collaborate with Product, UX, QA, and DevOps through delivery and release.
• Support Agile planning, delivery, code reviews, and continuous improvement.
• Resolve UI and backend production issues to restore stability and performance.
• Maintain code quality through testing, CI/CD, and secure coding practices.

Candidate Qualifications:

• Bachelor’s degree in Computer Science, Engineering, IT, or equivalent experience.
• 3+ years developing enterprise applications across full-stack, API, database, and cloud technologies.
• Experience building secure, mission-critical, cloud-native applications in regulated environments.
• Proficient in Agile, CI/CD, DevOps, automated testing, DDD, API-first development, and modern architecture.
• Able to clearly explain requirements, design intent, constraints, trade-offs, and outcomes.
• Exposure to microservices, distributed systems, AKS, Azure SQL, APIM, and Azure cloud services.
• Knowledge of secure coding, code analysis, Git, CI/CD, and DevOps for quality and reliable releases.

Tech Stack

• Developer Tools: GitHub Enterprise, GitHub Copilot, and Microsoft Copilot ecosystem.
• Cloud & Modern Architecture: Microsoft Azure, cloud-native architecture, microservices, APIs, containers/Kubernetes, event-driven architecture, and observability.
• DevOps & Delivery: Azure DevOps, Git, CI/CD, automated testing, SonarQube, secure coding, and infrastructure as code.
• Engineering Practices: Agile, domain-driven design, API-first development, Architecture Decision Records (ADRs), non-functional requirements (NFRs), and shift-left quality and security.
• Development Frameworks and Languages: Java, Spring Boot, ReactJS, HTML, JavaScript, mobile frameworks, and SQL/NoSQL databases.
• Security, Integration & Monitoring: Authentication/authorization, API management, Veracode, Azure AppInsights, Elastic, enterprise logging, and monitoring.

Role Description
The AI Engineer (Full Stack Engineering) designs, develops, tests, deploys, and maintains modern cloud-native applications using an AI-first engineering model. This role requires strong full-stack capability, upfront architecture and specification skills, responsible use of AI coding assistants, and ownership of quality, security, reliability, and production readiness.

Key Responsibilities

• Apply AI-first engineering practices across discovery, requirements, design, development, testing, deployment, operations, and continuous improvement.
• Translate business outcomes into clear technical specifications, architecture decisions, NFRs, design notes, and acceptance criteria.
• Build secure, scalable, resilient, observable, and maintainable full-stack solutions.
• Use AI responsibly to improve engineering productivity and software delivery quality.
• Partner with product, architecture, security, operations, and business teams to deliver aligned outcomes.
• Support incident resolution, automation, simplification, and continuous improvement activities.

Candidate Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent experience.
• At least 3 years of experience developing enterprise applications using modern full-stack, API, data, and cloud technologies.
• Hands-on experience with AI-assisted software delivery, GitHub Enterprise, and GitHub Copilot.
• Exposure to Azure AI Foundry, Copilot SDK, Semantic Kernel, AI agents, RAG, and LLM application patterns is preferred.
• Strong knowledge of Agile, DevOps, CI/CD, automated testing, API-first development, domain-driven design, and shift-left quality and security practices. 
• Ability to clearly articulate requirements, design intent, constraints, trade-offs, and outcomes for people and AI-assisted platforms.

Tech Stack

• AI & Developer Productivity: GitHub Enterprise, GitHub Copilot, Azure AI Foundry, Microsoft Copilot ecosystem, Copilot SDK, Semantic Kernel, AI agents, RAG, LLM patterns.
• Cloud & Architecture: Microsoft Azure, cloud-native architecture, microservices, APIs, containers/Kubernetes, event-driven architecture, observability.
• Delivery & Engineering: Azure DevOps, Git, CI/CD, automated testing, SonarQube, secure coding, infrastructure as code, Agile, DDD, API-first, ADRs, NFRs.
• Development & Operations: Java, Spring Boot, ReactJS, HTML, JavaScript, mobile frameworks, SQL/NoSQL, authentication/authorization, API management, Veracode, Azure Application    Insights, Elastic, logging, and monitoring.

Role Description
MetLife is seeking an experienced Software Development Engineer in Test (SDET) to drive quality engineering across its digital and AI transformation program. The role requires strong programming fundamentals, test automation expertise, and hands-on AI-powered tools experience in an Agile, cloud-native environment.

Key Responsibilities:

• Apply Agile/Scrum across the SDLC, including sprint planning, estimation, test strategy, and acceptance criteria.
• Partner with development and product teams to resolve defects, test failures, and regressions through clear bug reports.
• Build and maintain scalable Web, API, and Mobile/Native automation frameworks using Java or TypeScript, coding standards, design patterns, and programming fundamentals.
• Run automated and manual tests; analyze results, troubleshoot failures, and support CI/CD, performance, integration, and cloud-native testing with Azure DevOps, Jenkins, Azure, Docker, and Selenium Grid.
• Use GitHub Copilot, Cursor, Claude CLI, LLMs, and AI/ML frameworks to accelerate test creation, code review, SDLC optimization, test generation, anomaly detection, defect prediction, and root-cause analysis.

Candidate Qualifications:

• Bachelor’s degree in Computer Science or equivalent.
• 3+ years of automation testing experience in high-tech and/or highly regulated industries, preferably using AI.
• Hands-on experience developing automation testing practices with modern technology stacks, scripting, programming, and BDD exposure.
• Strong skills in Java, Python, Bash, or PowerShell, with practical test automation experience.
• AI engineering experience using GitHub Copilot Agent Mode, GitHub Enterprise, and Microsoft AI Foundry to build agents, design prompts, run evaluations, and validate agent accuracy and performance.

 
Tech Stack  

• Development & Delivery: Agile, Scaled Agile Framework.
• Automated Testing & UI: Selenium, TOSCA, BDD-Cucumber, Playwright, Java, JavaScript, Python, GitHub, DS-Algo.
• Mobile & API: Appium, RestAssured, Postman, KarateDSL.
• Cloud & Performance Testing: Azure DevOps Test Plan, Perfecto, SauceLabs, BrowserStack, JMeter, BlazeMeter.
• AI Engineering / GenAI: GitHub Enterprise, GitHub Copilot, Copilot Agent Mode, Microsoft AI Foundry Stack, Prompt Engineering, AI Agent Evaluation (AI Evals).

Role Description
The AI Engineer (Software Developer Test/QA) will support MetLife's digital and AI transformation by combining capabilities strong SDET capabilities with AI engineering practices. The role focuses on delivering high-quality software in an Agile environment, accelerating test automation, and using GenAI tools such as GitHub Copilot Agent Mode, GitHub Enterprise and Microsoft AI Foundry to build AI agents that improve testing productivity, quality and release velocity.

Key Responsibilities

• Design, build and scale AI-enabled testing capabilities across Agile delivery teams. 
• Create AI agents for test case generation, test data creation, defect triage and regression analysis.
• Develop AI evolution frameworks to assess agent accuracy, reliability and quality outcomes.
• Write and maintain automation code, support manual and automated testing, analyze defects and contribute test strategy and acceptance criteria.

Candidate Qualifications

• Bachelor's degree in Computer Science or equivalent, with at least three years of automation testing experience.
• Hands-on experience with test automation, AI-assisted engineering tools, GitHub Copilot, Copilot Agent Mode and Microsoft AI Foundry.
• Knowledge of AI agent design, prompt engineering, AI evaluations, BDD and modern automation practices. 
• Strong scripting or programming skills in Java, Python, Bash, PowerShell or JavaScript, with a continuous learning mindset.

Tech Stack

• Development & Delivery: Agile, Scaled Agile Framework, Azure DevOps Test Plan
• Automation & Testing: Selenium, TOSCA, BDD-Cucumber, Playwright, Appium, RestAssured, Postman, KarateDSL, JMeter and Blazemeter
• Programming & Platforms: Java, JavaScript, Python, Bash, PowerShell, GitHub, Perfecto, SauceLabs and BrowserStack
• AI Engineering: GitHub Enterprise, GitHub Copilot, Copilot Agent Mode, Microsoft AI Foundry, prompt engineering and AI agent evaluationnt

Role Description
The AI Engineer (Site Reliability Engineering) ensures the availability, scalability, performance and stability of critical systems and services while applying an AI-first engineering model. This role combines traditional SRE practices with automation, observability, AI-assisted diagnostics and responsible use of AI tools to improve reliability, accelerate incident response and support intelligent, self-healing operations. 

Key Responsibilities

• Apply SRE practices to improve system reliability, scalability, performance, availability and production stability across hybrid cloud environments. 
• Design and maintain monitoring, alerting, observability and AI-assisted anomaly detection capabilities to identify risks before customer impact. 
• Design automation scripts, tools and AI agents to streamline operations, reduce manual effort and improve incident response and service recovery.
• Collaborate with engineering, product, data and operations teams to design, implement and operate reliable large-scale systems aligned to business goals. 
• Participate in incident management, root case analysis, postmortems, corrective actions and continuous improvement using AI-assisted diagnostics where appropriate. 
• Maintain clear documentation of systems, services, operational processes and reliability practices, using AI tools responsibility to improve documentation quality and currency. 

Candidate Qualifications

• Bachelor's degree or advanced degree in Computer Science, Engineering or related field, or equivalent experience. 
• At least 3 years of experience as a Site Reliability Engineer supporting applications across hybrid platforms, including on-premises and Azure environments. 
• Strong scripting or programming skills in Java, Python, Bash, PowerShell or similar languages. 
• Hands-on experience with observability, logging, monitoring, performance analysis and production issues resolution using tools such as ELK, Grafana, Kibana, Splunk or Azure Monitor. 
• Experience with GitHub Enterprise, GitHub Copilot, CI/CD practices, DevSecOps, containers, Kubernetes, Terraform and Azure public cloud services. 
• Exposure to AI/ML models, LLM-based or agentic applications, Microsoft Foundry, MLOps, model monitoring and responsible AI practices is preferred.

Tech Stack

• Programming & Scripting: Java, Python, Bash, PowerShell
• Observability & Monitoring: Azure Application Insights, Azure Log Analytics, Splunk, Grafana, AppDynamics, ELK, Azure Monitor
• AI & Developer Productivity: Microsoft Foundry, GitHub Copilot, GitHub Enterprise, AI agents, AI-assisted diagnostics
• Cloud, DevSecOps & Operations: Azure DevOps, Azure Pipelines, Docker, Kubernetes, Azure Kubernetes Service, Terraform, ServiceNow

Role Overview
The Team Lead for Core Networks will lead the transition from network transformation to steady-state operations for MetLife Japan’s core network environment. This technology leadership role is responsible for operationalizing the Arista-based architecture, managing Cisco and Arista environments, expanding SDN and automation capabilities, defining next-generation network services, and preparing the network foundation for AI, All Photonic Networking (APN), quantum-safe networking, and future compute paradigms. The role positions the network as a strategic digital platform supporting automation, scalability, innovation, and future technologies.

Key Responsibilities:
Network Transformation & Operations

• Own the Network Upgrade Program and ensure successful transition from project delivery to BAU operations.
• Validate documentation, runbooks, monitoring, observability, and post-migration stabilization activities. 
• Drive operational excellence by reducing incidents and ensuring stable network performance.

Core Network Architecture & SDN

• Manage the coexistence and migration strategy for legacy Cisco and Arista-based environments.
• Define interoperability standards, migration plans, and risk mitigation strategies.
• Lead adoption of Arista CloudVision, SDN, automation workflows, zero-touch provisioning, and policy-driven networking.
• Establish governance and operating models for software-defined network environments.

Service Innovation & Future Technologies

• Define and develop network services supporting high-performance connectivity, segmentation, multi-cloud capabilities, and Zero Trust access models.
• Partner with Network Services, Security, and Data Center teams to align capacity, performance, and security requirements.
• Develop roadmaps for AI-driven networking, APN readiness, quantum-safe networking, SD-WAN, HPC, and AI/ML infrastructure demands.
• Provide technology advisory and strategic recommendations to leadership.

Technology Leadership & Governance

• Act as the Core Network SME across the organization and collaborate with Japan, US, and offshore network teams.
• Guide and facilitate architecture decisions, technology selection, integration patterns, and standardization initiatives.
• Establish governance processes, track KPIs, and provide operational reporting to leadership.
• Lead and mentor network engineers while developing expertise in Arista technologies, SDN, automation, and advanced troubleshooting.

Candidate Qualifications:
Education:
Bachelor of Computer Science, Engineering, Information Technology, or equivalent experience.

Experience:

• 10–15+ years of experience in Core Network Engineering and Architecture.
• Strong expertise in routing and switching (L2/L3, EVPN/VXLAN), enterprise and data center networks.
• Hands-on experience with Cisco and Arista network environments.
• Experience leading network transformation initiatives, SDN implementations, and network automation programs.
• Strong troubleshooting, operational leadership, and stakeholder management skills.
• Ability and willingness to adopt emerging technologies.

Preferred Qualifications

• Experience with Arista CloudVision (CVaaS) or similar SDN platforms.
• Experience supporting AI/HPC networking environments.
• Experience within high-availability financial services environments.
• Awareness of photonic networking and quantum-safe networking technologies.

Language
Business proficiency in Japanese; English proficiency is an advantage.

Role Overview
The Senior Mobile Device Management Engineer is a senior individual contributor responsible for the end-to-end management, security, and operational stability of the enterprise mobile device environment. This role owns device lifecycle management, application deployment, OS upgrades, troubleshooting, automation, compliance, and secure access controls utilizing Microsoft Intune, Microsoft Entra ID, Zscaler, device certificates/PKI, Apple ecosystem services, and Microsoft 365 mobile applications. 

Key Responsibilities:

• Manage enterprise iPad and iPhone lifecycle activities, including enrollment, provisioning, configuration, upgrades, replacement, and retirement. 
• Administer Microsoft Intune, including MDM/MAM, compliance policies, configuration profiles, app protection policies, and device restrictions. 
• Deploy, configure, and support Microsoft 365 and other mobile applications. 
• Plan, test, and execute OS upgrades, application upgrades, policy updates, and configuration changes. 
• Troubleshoot enrollment, application deployment, authentication, certificate, compliance, and connectivity issues. 
• Manage mobile security and access controls using Microsoft Entra ID, Conditional Access, Zscaler, and certificate-based authentication. 
• Monitor compliance, platform health, deployment status, and operational risks, and implement corrective actions. 
• Create and maintain operational procedures, technical documentation, support guides, and knowledge articles. 
• Drive automation and process improvements to enhance service quality and efficiency. 
• Collaborate with technology, security, IAM, service desk, application, vendor, and business teams. 
• Lead or support projects, migrations, feature rollouts, security enhancements, and service improvements.

General Responsibilities:

• Translate business and application requirements into infrastructure solutions. 
• Design secure, scalable solutions aligned with local and global standards. 
• Evaluate options, document risks, assumptions, and dependencies, and recommend the best approach. 
• Maintain technical standards and stakeholder alignment. 
• Work effectively with global, multicultural, cross-functional teams. 

Candidate Qualifications:
Education:
Bachelor of Computer Science, Engineering, Information Technology, or equivalent experience. 

Experience: 

• 5+ years of experience in IT infrastructure, endpoint management, enterprise mobility, end-user technology, or related fields. 
• Hands-on experience with Microsoft Intune (or equivalent MDM/MAM platforms) and enterprise iOS/iPadOS device management. 
• Knowledge of Apple Business Manager, automated device enrollment, mobile application deployment, and device lifecycle management. 
• Experience with Microsoft Entra ID, Conditional Access, MFA, device compliance, mobile access control, certificates/PKI, and certificate-based authentication. 
• Experience supporting Zscaler or similar secure mobile access technologies. 
• Experience deploying and supporting Microsoft 365 mobile applications, including Teams, Outlook, Word, and Microsoft Edge. 
• Strong troubleshooting skills across enrollment, application deployment, OS upgrades, authentication, certificates, compliance, and network connectivity. 
• Ability to independently manage technical responsibilities and resolve complex issues with minimal supervision.

Language
Business proficiency in Japanese; English proficiency is an advantage. 

Role Overview 
The Service Desk AI Engineer provides first-level and escalation support for IT Service Desk inquiries and user-facing service issues. The role coordinates activities across infrastructure, application, incident management, change management, and vendor teams, while managing vendor performance, issue escalation, stakeholder communication, and service improvement initiatives. The position leverages AI tools and knowledge management practices to improve support quality, standardize processes, reduce repetitive inquiries, and enhance Service Desk productivity. 

Key Responsibilities:

• Provide hands-on support for IT Service Desk operations and infrastructure-related incidents. 
• Drive front-line operational issues through timely resolution and effective escalation management. 
• Communicate clearly with business stakeholders by providing status updates, explaining business impacts, and coordinating follow-up actions. 
• Manage vendor relationships and quasi-delegation service arrangements, including prioritization, quality monitoring, performance tracking, issue follow-up, and escalation. 
• Coordinate with infrastructure, application, incident management, change management, vendor, and global technology teams to ensure reliable service delivery. 
• Apply AI tools and IT knowledge to improve support quality, strengthen knowledge management, standardize operational procedures, identify automation opportunities, and drive continuous service improvement. 
• Support adherence to global technology standards, policies, and procedures.

Candidate Qualifications:
Education:
Bachelor of Computer Science, Engineering, Information Technology, or equivalent experience. 

Experience:

• Minimum 5 years of IT experience in infrastructure engineering, operations, or Service Desk environments. 
• Experience managing day-to-day Service Desk operations, incident coordination, and escalation management. 
• Experience overseeing vendor performance and communicating effectively with business stakeholders. 
• Practical understanding of AI-enabled support processes, knowledge management, and operational improvement initiatives. 
• ITIL certification or equivalent training is preferred.

Language
Business proficiency in Japanese; English proficiency is an advantage. 

Role Overview
Middleware engineers are primarily responsible for the design, operation, maintenance, and continuous improvement of the middleware infrastructure, with a focus on WebSphere Application Server (WAS) and IBM MQ. They work to ensure stable service delivery by managing managed service providers and demonstrate technical leadership to improve operational quality, efficiency, and system stability. 

Key Responsibilities:

• Analyses daily activity of the team to explore area to be improve. 
• Manages internal and external service suppliers including product vendors. 
• Provides middleware engineering/operation team leadership in areas of expertise. 
• Ensures business requirements are met in a timely manner. 
• Participate/conduct middleware related projects as IT PL role. 
• Works closely with other organizations including MetLife global team to promote efficient IT go-live optimization. 
• Identifies root cause of the incidents and fix the incident in areas of expertise. 
• Identifies improvement areas and plans and implements systems to boost company effectiveness. 
• Assists to upper management in setting initiatives that promote stability improvement in DB operations. 
• Assists to upper management in preparing key goals, budgets, schedules, and other organizational reports as needed. 
• Assists to upper management in promoting and enforcing stability of systems. 
• Assists to upper management in developing plans to increase efficiency and reduce costs. 
• Assists to upper management in managing assets and inventory.

Candidate Qualifications:
Education:
Bachelor of Computer Science, Engineering, Information Technology, or equivalent experience. 
 
Experience:

• Minimum 8 years of IT experience including infrastructure engineering and/or operation roles. 
• Experience as a Solution Architect/Software Engineer/Project Manager/IT System Administrator 
• A background in Life Insurance company 
• ITIL or equivalent training 
• Experience in Web Application (WAS, Tomcat, IIS), MQ, Cloud (PaaS, SaaS, IaaS), CICD, Docker 
• Tendering, contracting, contract supervision and financial management 
• Experience in developing and implementing automation scripts, as well as promoting operational automation. 
• Strong problem-solving skills, stakeholder management skills, and a commitment to continuous improvement.

 
Language
Business proficiency in Japanese; English proficiency is an advantage. 

Role Overview
The IT Service Desk Lead is responsible for delivering stable IT support services in Japan by providing Service Desk and escalation support, coordinating with infrastructure, application, incident, change management, and vendor teams, and managing vendor performance under quasi-delegation arrangements. The role leverages AI and knowledge management practices to improve service quality, standardize processes, automate repetitive tasks, enhance Service Desk productivity, and ensure effective communication with business stakeholders. 

 
Key Responsibilities:

• Serve as the AI-enabled first point of contact for IT Service Desk inquiries related to IT services, PCs, and infrastructure. 
• Design, implement, and continuously improve AI-driven support capabilities, including chatbot services, inquiry triage and routing, and automated guidance for common requests. 
• Improve service quality and SLA performance through optimization of response speed, accuracy, and escalation management. 
• Promote self-service and AI-based resolution while ensuring seamless transition to human support for complex or sensitive issues. 
• Reduce operational effort through standardized runbooks, playbooks, knowledge assets, and automation of repetitive activities. 
• Collaborate with Incident and Change Management teams to improve visibility of IT service health, support proactive communication, and accelerate issue resolution. 
• Manage vendor activities, including prioritization, progress tracking, quality monitoring, issue follow-up, and escalation. 
• Extend AI use cases beyond the Service Desk into broader infrastructure operations to improve observability, resilience, and operational excellence. 
• Strengthen user confidence and trust in IT services through reliable support and clear communication.

Candidate Qualifications:
Certifications:
ITIL Foundation   
Azure Fundamentals (AZ-900)   

Required Experience and Skills:

• Experience in IT Service Desk, IT Operations, or Infrastructure Services. 
• Experience or strong interest in applying AI to IT service challenges, including chatbots, virtual agents, workflow automation, AI-assisted knowledge management, and incident handling. 
• Solid understanding of IT Service Management principles, including Incident, Change, and Problem Management. 
• Experience designing or governing standardized runbooks, playbooks, and knowledge frameworks. 
• Strong analytical, problem-solving, and continuous service improvement capabilities. 
• Proven ability to collaborate across technical teams, vendors, and business stakeholders. 
• Strategic mindset for scaling AI solutions from Service Desk operations to broader infrastructure domains. 
• Customer-focused communication skills with emphasis on trust, transparency, and reliability.

Language
Japanese: Advanced; English: Business   

Role Overview
As a Database Engineeri , you will be responsible for the design, implementation, and maintenance of the company’s database systems. In this leadership role, you will manage and guide a team while ensuring the reliability, performance, and scalability of the database infrastructure. You will work closely with cross-functional teams across the organization to support the seamless development and operation of internal applications and solutions.  

Key Responsibilities:

• Design, implement, and maintain database systems that support business applications and data analytics. 
• Monitor and optimize database environments to ensure security, availability, and performance. 
• Collaborate with development teams to design and implement database solutions that meet application requirements. 
• Establish and enforce database standards, best practices, and policies. 
• Manage database backup, recovery, and disaster recovery processes. 
• Stay current with emerging database technologies and industry trends, and recommend improvements to existing systems. 
• Partner with stakeholders to understand business requirements and provide technical expertise on database design and architecture. 
• Conduct database capacity planning, performance tuning, and troubleshooting. 
• Ensure compliance with data privacy and security regulations.

Candidate Qualifications:
Education:

• A master's degree in computer science, information technology, or a related field. 
• Experience with big data technologies such as Hadoop and Spark. 
• Professional certifications in database management or related technologies.

Required Experience and Skills:

• Proven experience as a Database Engineering Manager or in a similar leadership role. 
• Hands-on experience with database management systems such as SQL Server, Oracle, MySQL, and PostgreSQL. 
• Strong experience in database design, performance tuning, and optimization. 
• Proficiency in SQL and database scripting languages. 
• Experience with cloud-based database solutions, such as AWS RDS and Azure SQL Database. 
• Excellent leadership, communication, and interpersonal skills. 
• Ability to collaborate effectively with cross-functional teams in a fast-paced environment. 
• Strong problem-solving and analytical skills. 
• Knowledge of data privacy regulations and information security standards.

Language
Japanese: Fluent / English: Conversational proficiency or above

Role Description
The Senior Server Engineer is a senior individual contributor responsible for the design, implementation, operation, and continuous improvement of enterprise server infrastructure across Windows Server, Red Hat Linux, backup/recovery, and disaster recovery platforms. The role ensures platform stability, security, performance, lifecycle management, automation, troubleshooting, and operational excellence while partnering with application, security, operations, global technology, business, and vendor teams. 

Key Responsibilities: 

• Design, implement, operate, and improve enterprise server infrastructure across Windows Server, Red Hat Linux, VMware, Azure, storage, and backup/recovery platforms. 
• Transform server operations, including provisioning, configuration, monitoring, maintenance, patching, upgrades, capacity planning, and performance tuning through automation and self-service capabilities. 
• Ensure platform security, availability, compliance, reliability, and operational performance. 
• Provide advanced troubleshooting and escalation support for Windows/Linux servers, virtualization, Azure, storage, backup, networking, and application-hosting issues. 
• Perform root cause analysis, drive problem management activities, and implement long-term corrective actions. 
• Implement security hardening, compliance remediation, access control improvements, and audit actions in partnership with Security and Risk teams. 
• Develop automation scripts, runbooks, workflows, technical documentation, architecture diagrams, operational procedures, and knowledge articles. 
• Collaborate with infrastructure, application, security, operations, business, global technology, and vendor teams to deliver secure and reliable services. 
• General Responsibilities: 
• Translate business and application requirements into secure, scalable infrastructure solutions that comply with local and global standards. 
• Evaluate options, document risks, assumptions, and dependencies, maintain technical standards, and communicate requirements, design decisions, constraints, and trade-offs effectively. 
• Collaborate successfully within global, multicultural, and cross-functional teams.

Candidate Qualifications:
Education:
Bachelor of Computer Science, Engineering, Information Technology, or equivalent experience. 

Experience:

• Minimum 7 years of server engineering experience. 
• Hands-on expertise with Windows Server, Red Hat Linux, VMware, Azure, storage, backup/recovery, virtualization, automation (PowerShell, Bash), performance tuning, and security hardening. 
• Strong problem-solving, communication, collaboration, and operational ownership skills.

Certification
MS 365 Certified: Endpoint Administrator Associate or equivalent server/infrastructure management certification. 

Language
Business proficiency in Japanese; English proficiency is an advantage. 

Role Overview
The Multimedia Engineer is responsible for delivering reliable, secure, and business-critical Video and Audio Visual (AV) services across executive boardrooms, meeting rooms, collaboration spaces, and enterprise communication platforms. Acting as the technical lead for collaboration technologies, this role manages the operational support and continuous improvement of the AV ecosystem while driving service excellence through vendor management, operational governance, and technology innovation. 

Key Responsibilities:

• Multimedia & Boardroom Technology Operations 
• Manage and support executive boardrooms, meeting rooms, training facilities, and collaboration spaces. 
• Administer and optimize enterprise AV technologies, including Crestron, Biamp, Bosch, Extron, Studio Technologies, Pearl, Microsoft Teams, and related collaboration platforms. 
• Ensure room readiness, service availability, performance, and consistent user experience across all collaboration environments. 
• Monitor service quality and proactively identify and resolve operational issues. 
• Infrastructure Integration & Technical Support 
• Collaborate with Network and Voice teams to support Cisco infrastructure and Microsoft Teams Voice services. 
• Implement and support QoS, AV-over-IP, Dante audio networking, video conferencing, streaming, and related collaboration technologies. 
• Troubleshoot complex issues spanning voice, video, audio, AV control systems, and network services. 
• Manage integrations between collaboration platforms, AV solutions, and network infrastructure. 
• Service Governance & Operational Excellence 
• Lead incident resolution and support executive meetings and business-critical events. 
• Participate in Change Advisory Board (CAB) activities and ensure controlled implementation of service changes. 
• Perform root cause analysis and implement preventive actions to improve service stability. 
• Manage vendors, service providers, and AV integrators while driving continuous service improvement.

Candidate Qualifications:
Certifications: 
ITIL Foundation   
Azure Fundamentals (AZ-900)   

Required Experience and Skills:

• 8+ years of experience supporting Enterprise Voice, Unified Communications, AV, or Collaboration Services. 
• Strong hands-on experience with enterprise video conferencing, collaboration platforms, and Cisco network environments. 
• Experience supporting executive boardrooms and business-critical meeting environments. 
• Strong troubleshooting skills across voice, video, audio, networking, and AV technologies. 
• Knowledge of QoS, AV-over-IP architecture, Dante audio networking, DSP, echo cancellation, and conferencing audio optimization. 
• Experience managing vendors, service providers, and AV integrators. 
• Strong stakeholder engagement, communication, and problem-solving skills.

Preferred Qualifications

• Experience with Crestron Flex, Biamp Tesira, Bosch conferencing solutions, Extron AV technologies, Studio Technologies audio solutions, and Pearl streaming/recording platforms. 
• Microsoft Teams Voice and Teams Rooms certifications. 
• Cisco CCNA/CCNP or equivalent networking knowledge. 
• CTS (AVIXA), Dante, Crestron, or Biamp certifications. 
• ITIL and ServiceNow experience. 
• Experience in financial services or other high-availability enterprise environments

Language
Japanese: Advanced; English: Business