Top Tech Jobs & Startup Jobs in Charlotte, NC

Drive technical sales and customer adoption of Microsoft’s cloud database and analytics platforms through architecture sessions, demonstrations, proofs of concept, hackathons, and prototypes. Design secure, scalable data solutions, support migrations and modernization, resolve technical blockers, and collaborate with engineering teams. Advise business and technical decision makers on Azure databases, Fabric, Databricks, Power BI, governance, AI, and machine learning while representing Microsoft through customer forums and thought leadership.

Leads cross-organizational Quality Excellence Initiative programs across Microsoft Cloud. Translates customer signals, outages, and operational risks into engineering priorities and measurable improvements. Manages complex initiatives, dependencies, governance, resiliency plans, change controls, executive reporting, and success metrics. Partners with engineering, service, architecture, operations, data science, and business teams to improve customer health, prevent incidents, strengthen service resiliency, and drive continuous operational improvement.

Design and deliver large-scale, resilient AI and Kubernetes infrastructure for hybrid environments. Implement, optimize, and maintain cloud-native, container orchestration solutions; integrate AI capabilities; participate in on-call rotations; mentor engineers and drive reliability, observability, and performance at scale.

Design, implement, and operate cloud-scale secure data access features for Azure Blob Storage. Lead end-to-end development, collaborate with stakeholders, improve availability, observability, performance, and apply AI-assisted engineering to enhance productivity and operations.

Leads AI innovation and transformation across North America Consumer while owning Microsoft’s retail labor strategy and execution across major U.S. and Canadian partners. Responsibilities include developing AI pilots, driving adoption, managing outsourced labor agencies, optimizing deployment and coverage, setting KPIs, analyzing performance, managing budgets and contracts, and partnering across Sales, Marketing, Finance, Analytics, and retail teams to improve customer experiences and business impact.

Designs, operates, and improves large-scale cloud networking infrastructure supporting AI and HPC workloads. Responsibilities include developing network roadmaps, solving complex systems issues, performing incident root-cause analysis, automating network operations, optimizing reliability and performance, and serving as a networking service owner. The role requires expertise in high-speed fabrics, routing protocols, datacenter Ethernet, optical telemetry, cloud-scale operations, and production network design.

Develop, design, and implement code for Azure hyperscale WAN features; gather requirements, estimate and decompose work, participate in on-call DRI duties, monitor reliability and performance, and troubleshoot large-scale distributed systems.

Lead investigation and mitigation of complex distributed storage issues for Azure Managed Disks. Design algorithms for load distribution, monitor system behavior, debug performance and availability problems, collaborate across teams, mentor engineers, act as on-call DRI, and improve observability and reliability at hyperscale.

Lead global SMB strategy and execution for Microsoft Cloud & AI Platforms: define product positioning, drive partner co-sell and field enablement, translate strategy into scalable operating models, govern performance, and evangelize SMB customer value. Collaborate cross-functionally to convert field insights into actionable plans and continuous learning to improve execution and revenue outcomes.

Leads managers of solution sales and solution engineering teams supporting enterprise Cloud and AI customers. Responsibilities include recruiting and developing talent, driving complex technical sales opportunities, coaching executive engagements, improving pipeline conversion and forecasting, aligning resources, and executing sales strategies across Azure, AI, data, analytics, application platforms, and infrastructure.