Jobs at Microsoft

Lead design and delivery of scalable, reliable backend services for Azure infrastructure. Own distributed-system design, implementation, testing, and operations. Drive incident response, on-call rotations, observability, automation, code reviews, and mentor engineers to improve reliability and operational excellence.

Lead product security initiatives for cloud, AI, and enterprise platforms. Responsibilities include threat modeling, security architecture reviews, identifying systemic weaknesses, developing secure-by-design guidance and reference architectures, advising engineering and product leaders, leveraging AI and automation for scalable security assessments, investigating emerging attack paths, mentoring teams, and improving security review methodologies and tooling.

Develop and ship advanced AI capabilities for Microsoft 365 Copilot. Responsibilities include designing deep learning algorithms for text, images, and video; conducting applied research; building backend platform and orchestration systems; leading projects from experimentation through production; and delivering scalable, secure, low-latency AI products in collaboration with engineers and scientists.

Designs and maintains large-scale AI research platforms supporting GPU clusters, optimizing uptime, performance, and workloads. Develops end-to-end systems, libraries, tools, and agentic workflows that accelerate research. Shapes infrastructure strategy and roadmap, evaluates emerging technologies, and provides technical leadership and mentorship. Collaborates with service engineers, product managers, researchers, and scientists to deliver production platforms, distributed computing systems, and high-performance AI infrastructure.

Lead complex cloud, identity, supply-chain, and nation-state security investigations. Perform root-cause analysis, threat hunting, blast-radius assessment, attribution, and incident response across Microsoft telemetry. Operationalize intelligence into queries, detections, playbooks, and platform fixes; investigate adversary tradecraft; use AI-assisted tooling; produce executive-ready reports; and mentor peers in advanced investigations, forensics, and reverse engineering.

Lead platform power and performance strategy for next-generation AI compute platforms. Drive silicon/platform architecture, workload characterization, profiling, benchmarking, and cross-functional optimization across silicon, firmware, OS, thermal, and datacenter systems to maximize performance-per-watt, scalability, reliability, and TCO. Mentor engineers and influence roadmaps through data-driven analysis and stakeholder communication.

Design and deliver data platform infrastructure for ads metrics alerting, diagnostics, and monitoring. Optimize large-scale streaming and batch pipelines, enhance analysis infrastructure, perform deep data analysis, collaborate with partner teams, and provide operational support and incident resolution.

Design and develop scalable, secure distributed systems and cloud services for Microsoft Advertising. Lead architecture and technical strategy, deliver complex projects end to end, use telemetry and experimentation to improve products, collaborate across teams, and mentor engineers while contributing to platform-wide decisions.

Lead design and implementation of end-to-end evaluation platforms for agentic security workflows: build benchmarks, deterministic validators, graders, telemetry, CI/CD integration, and production feedback loops to measure safety, correctness, cost, latency, and human-review effort. Partner with engineering and product teams to detect regressions, compare configurations, and provide release-readiness evidence and reusable playbooks.

Drive enterprise sales growth for Microsoft Modern Work and AI Workforce solutions. Generate pipeline, engage business decision-makers, identify customer needs, articulate business value, develop tailored solutions, and close opportunities. Collaborate with technical specialists, partners, and consultants to execute account plans, cross-sell and up-sell, forecast, analyze business opportunities, and exceed sales targets. Serve as a subject matter expert on Modern Work, Microsoft 365, generative AI, security, compliance, collaboration, and productivity solutions.

Lead Microsoft’s global Deal Desk function by structuring commercial deals, making decisions on customer terms, improving contract solutions and governance, ensuring compliance, and partnering with sales, legal, finance, and senior stakeholders. Build and develop a high-performing, inclusive team while driving strategic growth, profitability, process improvements, and balanced business outcomes.

Provides hands-on technical leadership for developer platforms, tooling, and services across Microsoft’s IC3 engineering organization. Leads architecture, modernization, AI-powered engineering capabilities, CI/CD, observability, security, reliability, and developer productivity initiatives. Partners across teams to establish technical standards, resolve complex architectural challenges, influence roadmaps, and deliver scalable solutions. Mentors engineers and promotes engineering excellence, collaboration, and continuous improvement.

Provides administrative and business support for Azure Data leadership, including complex calendar and meeting management, rhythm-of-business coordination, travel and expense processing, budget and inventory tracking, vendor management, space planning, onboarding, headcount transactions, recruiting logistics, and event or project coordination. Requires strong organization, discretion, customer service, prioritization, and follow-through.

Lead applied science for Microsoft 365 Copilot by developing reliable long-horizon agentic capabilities, frontier-model evaluation methods, offline benchmarks, online experimentation, ML pipelines, and performance metrics. Own experiments and ML projects from inception through production, build workflow tools, shape technical roadmaps, communicate findings to leadership, mentor scientists and engineers, and help grow the applied science recruiting and research culture.

Lead architecture, development, debugging, validation, and operational improvements for scalable Windows engineering systems. Partner across teams to improve quality signals, observability, reliability, security, and performance. Drive design decisions, project planning, incident response, automation, experimentation, and release execution while mentoring engineers and coordinating cross-team dependencies.

Leads end-to-end development of AI scale-up switch platforms, including requirements, vendor selection, hardware architecture, optical interconnects, validation, system integration, and production readiness. Partners with software teams on SONiC, telemetry, diagnostics, and fleet management. Oversees switch integration into AI clusters and leads cross-functional teams across networking, silicon, optics, firmware, software, manufacturing, and operations while optimizing performance, reliability, cost, power, and time-to-market.

Builds, secures, and automates research infrastructure across cloud, GPUs, workstations, servers, and development environments. Designs tools and workflows using Python, PowerShell, Azure, and DevOps technologies; advises on deployment, access control, security, and operations. Partners with researchers and engineers on scalable solutions, supports events, oversees physical infrastructure support staff, and coordinates technical delivery across engineering, procurement, security, compliance, and IT teams.

Own and architect end-to-end silicon signoff CAD flows across parasitic extraction, static timing, power integrity, and physical verification. Drive quality improvements, vendor engagements with Synopsys/Cadence, and cross-team integration to ensure signoff convergence. Establish standards, validation frameworks, and scalable flow architectures while growing and technically leading the signoff engineering team.

Leads Windows security assurance across compliance, risk assessment, threat modeling, vulnerability research, and security tooling. Partners with engineering and product teams to translate security requirements into controls, execute scalable risk-based reviews, coordinate cross-team initiatives, and deliver measurable security improvements across the product lifecycle.

Supports senior Customer Success Account Managers across Danish and Nordic customer portfolios. The role tracks cloud adoption, AI and Copilot usage, solution health, delivery milestones, support signals, risks, and remediation actions. It synthesizes account and portfolio intelligence, coordinates internal follow-ups, monitors customer outcomes, and prepares insights for executive discussions. The position is designed for early-career professionals working within a pod model under senior guidance.