Jobs at Microsoft

Lead full-chip and package integration for DPU ASICs from early planning through tapeout signoff. Drive die/floorplanning, C4/microbump and RDL optimization, power domain management, vendor collaboration, integration milestones, and resolve power/integration issues across teams.

Lead Go-to-Market for Microsoft datacenter expansion in Korea: build multi-year growth plans, coordinate sales, marketing, partners and engineering, drive pipeline for anchor tenants, create business cases, align Azure services and features, support PR and launches, and monitor execution to realize revenue and capacity goals.

Customer-facing Cloud Solution Architect who designs and delivers secure, scalable Azure infrastructure and migration/modernization solutions. Drive end-to-end technical delivery, use CAF/WAF frameworks, ensure environments are production-ready for AI, contribute repeatable IP, resolve blockers, and accelerate adoption of Azure services across infrastructure, databases, SAP, and hybrid environments.

Lead applied research across M365 productivity apps to build data ingestion/curation, fine-tune prompts and models, design evaluation metrics for purpose-built SLMs, and drive Responsible AI. Collaborate cross-group, lead feature crews, document experiments, mentor talent, and translate research into product impact.

Lead enterprise data security engagements using Microsoft Purview and DLP: run discovery workshops, design and implement sensitivity labels and DLP policies, tune and operationalize controls across M365 and endpoints, assess eDiscovery/insider risk/audit readiness, apply DSPM and AI-safe data patterns, support agents and posture assessments, and produce executive deliverables and reusable consulting IP.

Design, build, and scale cloud-native distributed systems and runtimes to deploy, run, fine-tune, and observe enterprise AI agents. Drive architecture, optimize model/infrastructure interactions, improve developer iteration tooling, enforce secure-by-design practices, and mentor engineering teams to deliver production-ready agent platforms.

Conducts advanced AI research across foundation models, deep learning, reinforcement learning, computer vision, natural language understanding, and industrial AI. Develops algorithms, prototypes, datasets, ETL pipelines, and machine learning models; evaluates and monitors model performance; collaborates with product and engineering teams on technology transfer and production applications. Publishes research, files patents, documents findings, and advances Microsoft’s research agenda.

Provide advanced technical support for Windows-related customer issues across deployment, directory services, networking, performance, storage, high availability, and user experience. Investigate and resolve complex problems, advise customers, collaborate across teams, support critical escalations, mentor peers, deliver readiness training, and partner with engineering teams on product defects, automation, diagnostics, and supportability improvements.

Designs and delivers secure, scalable Azure infrastructure and cloud transformation solutions for customers. Leads architecture sessions, migrations, modernization, proofs of concept, and production deployments across infrastructure, applications, data, SAP, hybrid environments, and AI workloads. Partners with technical and sales teams to identify opportunities, resolve blockers, optimize customer environments, develop reusable intellectual property, and drive adoption, resiliency, performance, and business value.

Build and operate Azure’s fault self-healing and failure-prediction platform at hyperscale. Responsibilities include telemetry pipelines, prediction services, AI agents, automated repair workflows, safe staged rollouts, developer SDKs and APIs, dashboards, and reliability metrics. The role requires production AI/ML, distributed systems, cloud-scale automation, and storage or hardware resiliency expertise, including failure analysis, live-site operations, and NVMe/PCIe or firmware experience.

Lead technical customer engagements for Agentic AI and cloud application platforms. Design secure, scalable, resilient architectures; conduct workshops, demonstrations, whiteboarding, prototypes, proof-of-concepts, and pilot deployments. Advise technical and business stakeholders, influence Azure adoption and technical decisions, modernize application platforms, and deliver AI transformation outcomes. Collaborate with engineering, customer success, partners, and specialists while sharing reusable architectures and best practices.

Develops and deploys AI and LLM-driven features for Microsoft 365 Copilot, including model evaluation, metrics, experimentation, retrieval-augmented generation, prompting, and agentic system optimization. The role prototypes scalable AI applications using Azure AI Foundry and LangChain, diagnoses model issues, and supports improvements to deep learning, NLP, and multimodal systems.

Leads sovereign cloud programs spanning partner relationships, capacity planning, service roadmap delivery, infrastructure readiness, risk management, and cross-functional execution. Coordinates engineering, operations, finance, infrastructure, and business teams to translate demand into delivery plans, resolve dependencies, communicate executive status, and ensure reliable cloud service commitments for governments and regulated industries.

Own the roadmap for AI experiences in Search Places, shaping next-generation discovery and relevance products. Define product strategy, identify investment opportunities, align cross-functional stakeholders, track performance metrics, and drive business impact across multiple feature areas. Partner with technical teams to develop hypotheses and improve product experiences in a highly matrixed environment.

Develops and executes multi-year sourcing and category strategies for complex cloud datacenter construction and operations. Leads supplier selection, negotiations, contracting, performance management, and cross-functional alignment across global regions. Uses market intelligence and analytics to reduce costs, mitigate risks, improve supplier performance, and streamline procurement processes. Oversees SLAs, milestones, deliverables, and continuous improvement initiatives while partnering with construction, engineering, finance, legal, risk, safety, and IT teams.

Secure Microsoft Windows online services through offensive security, code and deployment reviews, penetration testing, vulnerability research, and scalable mitigation development. Build reusable security review tools and agents, demonstrate exploit impact, identify novel attack vectors, bypass security controls, and collaborate with product engineering teams to strengthen architecture and defenses.

Leads regional Sales Operations planning and execution across segmentation, territory planning, employee data management, and fiscal-year planning. Partners with business leaders and cross-functional teams to improve resource allocation, governance, reporting, automation, and AI-enabled workflows. Drives standardized tools, operational rhythms, stakeholder alignment, risk escalation, and measurable reductions in manual work while improving coverage accuracy and decision quality across Asia.

Own and architect end-to-end silicon signoff CAD flows for parasitic extraction, timing analysis, power integrity, IR-drop analysis, and physical verification. Lead tool qualification and vendor engagement across Synopsys and Cadence ecosystems, drive signoff quality and convergence for advanced-node silicon, collaborate with physical design and RTL teams, and provide technical leadership while scaling reusable flow architectures and engineering practices.

Develops and optimizes Windows device software by analyzing telemetry and trace data, debugging system issues, evaluating performance, and implementing improvements across operating-system and application layers. The role involves writing, testing, and maintaining code, validating solutions with data, participating in engineering reviews, and collaborating across teams to improve reliability, compatibility, performance, battery life, and sustainability.

Develop technology strategies and roadmaps for strategic Dutch central government accounts. Advise senior stakeholders on cloud, AI, security, digital sovereignty, and data protection. Coordinate Microsoft teams and partners, guide digital transformation, manage technical account planning, and identify technology opportunities and risks. Build trusted relationships with CIOs, CTOs, and other government technology leaders while aligning Microsoft platforms with public-sector priorities.