Top Tech Jobs & Startup Jobs in Charlotte, NC

Design, deliver, and support Microsoft cloud security solutions for mission-critical customers. Provide proactive and reactive support, lead architectural sessions, implement identity and Zero Trust controls, optimize Azure resiliency and security posture, coordinate incident resolution with internal teams, and contribute to on-call rotations and continuous improvement.

Leads technical customer engagements for cloud, AI, infrastructure, and security transformations. Advises customers, conducts solution demonstrations and proof-of-concept sessions, supports complex integrations and deployments, shares technical expertise through mentoring and events, and develops strategic customer success and win plans with account and marketing teams.

Build and operate Azure platforms integrating specialized partner technologies with cloud services. Responsibilities include writing maintainable code, contributing to architecture and design decisions, testing features, supporting safe deployments, monitoring dependencies, using AI-assisted development tools, and maintaining live-site operations. The role emphasizes scalable, reliable, secure, and resilient distributed cloud services while collaborating with engineers, product managers, architects, and partners.

Own the worldwide sales strategy, targets, pipeline, and revenue performance for Microsoft’s AI Workforce solution area. Lead and coach regional sales managers, orchestrate global business reviews, coordinate cross-region deal support, and develop partner co-sell strategies. Align worldwide sales plays and campaigns with regional execution, promote adoption of sales tools and methodologies, and use market insights to influence corporate strategy and drive customer AI transformation outcomes.

Design, develop, and operate distributed services for Azure Storage geo-replication. Improve durability, regional resiliency, failover readiness and disaster recovery. Collaborate across teams, analyze telemetry, diagnose production issues, act as a DRI, and leverage AI-assisted engineering tools to improve productivity and reliability.

Design, implement, and operate core components of Azure Storage, focusing on metadata and data services for a hyperscale distributed file system. Build reliable, durable, and cost-efficient storage platforms using DPUs, optimize OS and networking (TCP/RDMA), participate in design, on-call DRI duties, and drive reliability and performance improvements.

Leads end-to-end product design for AI- and data-driven solutions in customer-embedded teams. Conducts qualitative and quantitative research, translates complex problems into user-centered experiences, creates wireframes, journey maps, interaction models, and prototypes, and collaborates with engineers, data scientists, and program managers to deliver production-ready products.

Design and deliver distributed storage systems for AI and machine learning workloads at hyperscale. Lead architecture, development, testing, deployment, and innovations in scalability, performance, security, and efficiency. Collaborate with AI researchers and cloud infrastructure engineers, mentor engineers, and guide technical strategy for high-availability, durable, high-performance storage supporting training and inference.

Design and deliver large-scale, cloud-native and AI-enabled Kubernetes/AKS solutions. Implement, optimize, and maintain Kubernetes components and container orchestration across Azure, on-prem, and edge. Integrate AI capabilities, participate in on-call rotations, mentor engineers, and collaborate cross-functionally to improve reliability, observability, performance, and operational consistency at scale.

Develop and operate hyperscale Azure Managed Disk distributed storage systems. Investigate complex faults, bottlenecks, degraded hardware, concurrency, availability, and performance issues; develop reliable and scalable capabilities; create monitoring, metrics, queries, and automated load-balancing solutions; support safe deployments, cross-team debugging, on-call operations, and engineer mentoring.