Top Tech Jobs & Startup Jobs in Chicago, IL

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.

Lead development of AI infrastructure for large-scale GPU training and inference. Design workload scheduling, serving, orchestration, resource governance, failover, and multitenant Kubernetes platforms. Build reliable C# and Go services, optimize GPU fleet performance, and drive observability, diagnostics, and production operations. Provide technical leadership, architectural direction, mentoring, and cross-team collaboration across cloud infrastructure, hardware, networking, and AI deployment teams.

Serves as a technical advisor and strategist for strategic ISV partners. Develops partner technology roadmaps, drives Microsoft cloud and AI adoption, orchestrates internal resources, resolves technical blockers, enables solution development, and supports sell-with opportunities. Builds trusted executive relationships, guides digital transformation, creates differentiated solutions, and tracks program execution toward joint business and customer outcomes.

Leads global channel sales excellence through business rhythms, executive reviews, forecasting, pipeline and performance analysis, standardized dashboards, and actionable insights. Partners with Sales, Finance, Operations, and Enablement leaders to improve predictability, establish scalable sales processes, drive adoption of operating models and AI initiatives, remove execution barriers, and influence cross-functional stakeholders in a matrixed environment.

Leads software engineering for vector search and information retrieval capabilities in Azure data products. Designs complex architectures, develops high-quality and performant code, creates comprehensive test strategies, collaborates across research and engineering teams, and mentors engineers. Drives product integration, scalability, performance, release planning, and roadmap execution while applying expertise in algorithms, database internals, performance engineering, and AI-based retrieval.

Owns sales operations reporting, business intelligence tooling, and AI-enabled process transformation for Americas sales teams. Translates complex business needs into reporting requirements, data models, dashboards, and scalable solutions; manages BI issue intake, prioritization, SLAs, and engineering delivery. Leads reporting and tooling initiatives, improves data confidence, supports change management, and drives field adoption of actionable insights.