Top Tech Jobs & Startup Jobs in Charlotte, NC

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.

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.

Originate and build expressive interactive graphics and motion experiences for Copilot using code, shaders, and real-time browser rendering. Develop production-ready components, optimize CPU/GPU performance, ensure accessibility and reduced-motion support, and collaborate with product engineering on integration and maintenance. Create reusable graphics systems and tools, document technical and artistic decisions, mentor teammates, and guide ambiguous projects from creative concept through delivery.

Design secure, scalable AI and cloud architectures for strategic Microsoft partners. Lead architecture sessions, develop proofs of concept and pilots, provide technical implementation guidance, modernize legacy systems, and help partners build AI practices, reusable intellectual property, agentic solutions, and managed services. Collaborate with partner executives, architects, developers, and Microsoft engineering while integrating AI models with enterprise data, applications, APIs, security, governance, and observability.