Jobs at Microsoft

Design, build, test, deploy, and operate scalable cloud-native applications, distributed services, data platforms, and AI-powered experiences. Develop frontend and backend solutions, APIs, workflows, data pipelines, and LLM-enabled capabilities using Azure technologies. Create technical designs, modernize platforms, improve reliability and observability, support production operations, and collaborate across teams while mentoring engineers and maintaining secure, compliant development practices.

Lead design and analysis of large experiments and observational studies; select causal inference methods; develop and productionize ML and causal models; set experimentation best practices; influence metrics and measurement; mentor junior data scientists; present results to senior stakeholders.

Drive Databricks adoption on Azure by leading architecture reviews, proofs of concept, and production deployments. Advise customers and partners on data, analytics, and AI architectures; resolve technical blockers; promote security, governance, reliability, and operational excellence; create reference architectures and reusable IP; and collaborate across sales, engineering, and partner teams to accelerate cloud consumption and measurable customer outcomes.

Supports Microsoft partners with AI Cloud Partner Program issues by investigating and resolving escalations, coordinating across teams, managing requests end to end, routing cases appropriately, communicating updates, and improving partner satisfaction. The role also contributes to support processes, self-help initiatives, readiness activities, and business projects.

Manages complex, high-impact customer escalations as the central coordination point across support, engineering, product, operations, sales, and leadership teams. Drives issue resolution, root-cause analysis, mitigation plans, executive communications, stakeholder alignment, and customer advocacy. Identifies systemic trends and process gaps, leads continuous improvement initiatives, conducts post-incident reviews, and mentors peers on escalation management and stakeholder engagement.

Leads strategic relationships with Microsoft distribution partners across the Americas, driving partner plans, CSP revenue, sales pipeline, cloud adoption, and profitable growth. The role manages executive stakeholder alignment, business reviews, performance forecasting, partner investments, go-to-market strategies, sales enablement, and partner skilling. It also coaches partner sales and technical teams, promotes Microsoft solution adoption, and drives achievement of Microsoft partner designations and specializations.

Resolves complex Microsoft partner escalations involving cloud commerce, licensing, provisioning, identity, and Partner Center issues. Investigates technical problems, performs root cause analysis, advises customers, and coordinates resolution across engineering, operations, support, and business teams. The role also mentors peers, delivers technical readiness programs, improves supportability, and helps develop automation and diagnostic tools to enhance Microsoft products and partner experiences.

Own the technology strategy and roadmap for a major financial services account. Advise C-suite leaders on Azure, AI, data, security, cloud modernization, and digital transformation. Identify strategic opportunities, orchestrate Microsoft engineering and partner teams, influence technology decisions, and drive Azure adoption, workload modernization, consumption, and measurable business outcomes. Build executive relationships and connect customer priorities with Microsoft’s product and innovation roadmap.

Own complex AI initiatives from architecture through production, including model selection, RAG and agentic pipelines, prompt and tooling design, safety guardrails, governance, and telemetry-based validation. Drive roadmaps, release plans, stakeholder alignment, and customer supportability while partnering with applied science and engineering teams. Serve as a trusted technical expert translating complex AI concepts into customer and business outcomes.

Manage procurement and material management for multiple datacenter construction projects: run RFI/RFP processes, negotiate contracts and change orders, oversee supplier performance and compliance, collaborate with cross-functional stakeholders, and ensure SLA-driven deliverables.

Lead strategy and roadmap for support tooling, prioritize build-vs-buy decisions, embed AI/LLM capabilities responsibly (agent-assist, summarization, knowledge retrieval), drive adoption and telemetry, coordinate releases across engineering and support, and align stakeholders to improve agent productivity and CSAT.

Leads global teams in developing and executing technology strategies for complex enterprise customers. Acts as a trusted executive advisor, aligns Microsoft and partner resources, develops multi-year technology roadmaps, drives digital transformation, generates demand, manages account plans and pipelines, and identifies opportunities for technology adoption and consumption. The role also coordinates stakeholders, delivers executive briefings, advocates for customers internally, and positions cloud, AI, and security solutions against business priorities.

Manages medium enterprise accounts, builds CxO and stakeholder relationships, develops account and co-sell strategies, drives pipeline, renewals, upselling, cloud consumption, and revenue forecasting. Coordinates Microsoft internal teams and partners to deliver tailored solutions, improve customer outcomes, and achieve sales targets. Serves as the customer advocate while maintaining Microsoft solution, industry, and digital sales expertise.

Set vision and standards for experimentation, causal inference, and ML; lead high-stakes causal analyses; architect scalable modeling and experimentation frameworks; advise executives; mentor senior data scientists; champion reproducibility and data storytelling; evaluate LLMs and AI agents.

Design, implement, and ensure quality of systems stack, tools, and SDK integration for AI frameworks. Collaborate with hardware and ML teams, apply engineering principles, write low-level/high-performance code, define architecture, estimate scope, and drive coding standards.

Build and improve Azure Kubernetes Service capabilities for Linux and Windows containers. Develop distributed cloud infrastructure, automation, observability tooling, and reliability improvements at global scale. Support AI-native infrastructure, including GPU orchestration, model deployment, inference, and platform operations. Accelerate engineering workflows, prevent production incidents, integrate AI tools, and contribute to Kubernetes and cloud-native platform innovation.

Designs and delivers EPMS, electrical telemetry, and industrial controls solutions for Microsoft AI datacenters. Responsibilities include defining instrumentation and communications requirements, configuring EPMS hardware and networks, developing system integrations, testing and commissioning technologies, troubleshooting complex electrical and controls issues, producing technical documentation, and coordinating with multidisciplinary engineering, vendor, commissioning, and deployment teams.

Provides technical architecture and advisory support for Microsoft Copilot and Power Platform customers. Responsibilities include post-sales presentations, demonstrations, installations, solution optimization, technical planning, stakeholder advising, and customer adoption initiatives such as prompt-engineering sessions and hackathons. The role partners with sales, engineering, solution specialists, and customer personnel to implement Microsoft 365 workloads, improve solution performance, and drive successful technology adoption.

Leads complex cybersecurity incident investigations across cloud and on-premises environments. Directs investigative priorities, coordinates threat hunters and technical specialists, communicates findings and response recommendations to executive customers, and balances containment with recovery and evidence preservation. Conducts threat research, develops analytical automation, improves data quality, mentors colleagues, and contributes to technical publications and presentations.

Design, build, and optimize production-grade applications on Azure while contributing to an observability-focused Azure service. Responsibilities include developing cloud-native systems, creating reusable engineering assets, supporting production environments through on-call participation, investigating incidents, improving reliability and performance, and influencing Azure platform engineering through customer insights. The role also involves direct engagement with strategic customers and strengthening technical capabilities across the organization.