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Provide technical support for customers using Microsoft Azure, troubleshooting complex cloud, virtualization, operating system, networking, storage, and infrastructure issues. Manage incidents through resolution or escalation, collaborate with product and engineering teams, identify support pain points, improve platform support readiness, provide technical feedback, and maintain expertise through ongoing training. The role requires customer-facing communication in Japanese and English and occasional 24x7 on-call or emergency support.

Designs and validates AI, compute, storage, networking, and accelerator hardware platforms from concept through datacenter deployment. Responsibilities include analyzing interfaces, developing integration and test plans, debugging system-level issues, evaluating power and performance, defining hardware-firmware-software requirements, assessing technical risks, and collaborating with architecture, silicon, firmware, operating system, manufacturing, validation, and customer teams.

Lead technical pre-sales engagements for Microsoft 365 Copilot, Copilot Studio, AI agents, and cloud endpoint solutions. Deliver demonstrations, discovery sessions, whiteboarding, solution designs, and proof-of-concept support. Develop technical win strategies, address objections and blockers, collaborate with partners and internal teams, educate customers, and guide adoption while embedding governance, security, and compliance into proposed solutions.

Design, verify, and validate analog circuit components for SerDes interface IP (PLL, clock distribution, transmit/receive macros). Perform mixed-signal and post-layout verification, generate timing models, coordinate with layout designers, ensure behavioral model accuracy, and support calibration and post-silicon validation.

Perform DFIR-focused threat hunting, investigation, and threat intelligence development. Analyze attacker TTPs, enrich intelligence with detection guidance, produce briefings and security recommendations, and integrate investigation best practices into Microsoft tooling.

Develop and operate secure, scalable, resilient infrastructure for Windows 365 and Azure Virtual Desktop. Responsibilities include software design and implementation, automation frameworks, backend services, APIs, DevOps and release processes, cloud security, IAM, compliance, reliability engineering, on-call support, and full lifecycle ownership. The role collaborates with security, compliance, and platform engineering teams while contributing to architecture discussions, code reviews, and continuous engineering improvement.

Provides technical subject-matter expertise for support teams by improving engineer readiness, reviewing cases, ensuring process compliance, mentoring staff, supporting complex issue resolution, creating troubleshooting content, and driving product and process improvements. Requires technical support or related IT experience, strong customer support skills, and the ability to meet Microsoft Cloud Background Check requirements.

Conducts threat intelligence analysis for internal and customer-facing investigations. Supports attribution and actor modeling, analyzes adversary infrastructure and tactics, develops emerging threat clusters, and applies cloud, identity, endpoint, log, and network telemetry. Provides intelligence support to incident response teams, improves Microsoft products based on observed exploitation, briefs technical and executive stakeholders, and feeds investigation findings into threat actor tracking efforts.

Lead the architecture, development, deployment, and operation of scalable AI services and observability platforms. Drive technical strategy, reliability, security, performance, automation, and operational excellence. Partner with product and engineering teams, engage customers, resolve complex issues, make architecture decisions, manage dependencies, mentor engineers, and promote high-quality engineering practices across testing, privacy, compliance, and code quality.

Own and scale Azure infrastructure, Azure DevOps CI/CD pipelines, security permissions, and DevOps methodology for Microsoft’s silicon front-end CAD organization. Develop Python-based CAD automation and integrations, improve reliability through monitoring and incident response, partner with EDA, Azure, and security teams, drive infrastructure roadmaps, and mentor engineers and interns.