Top Tech Jobs & Startup Jobs in Charlotte, NC

Design and build distributed storage systems optimized for AI and machine learning workloads at hyperscale. Lead architecture, development, testing, deployment, scalability, performance, security, and efficiency initiatives for zettabyte-scale Azure storage. Collaborate with AI researchers and cloud infrastructure teams, mentor engineers, evaluate emerging technologies, and solve complex problems involving availability, durability, replication, high-performance I/O, metadata, indexing, caching, and data placement.

Leads MCAPS Commercial Planning operations, including the weekly Rhythm of Business, executive planning calendar, and annual Planning Summit. Responsibilities include governance design, stakeholder alignment, planning reviews, agenda and content coordination, communications, action tracking, calendar management, executive engagement analysis, event logistics, budget management, and advancing AI-enabled operational efficiencies. The role partners with senior leaders and cross-functional teams in a large, matrixed organization.

Provides technical pre-sales and consulting support for Microsoft’s GitHub, Visual Studio, Azure AI, and cloud developer platforms. Leads demos, proofs of concept, hackathons, code-with sessions, and architecture workshops for enterprise development teams. Advises customers on secure, scalable cloud-native architectures, DevOps, CI/CD, and AI-assisted software development; resolves technical objections; collaborates with engineering; and promotes Microsoft solutions through customer and developer communities.

Design and build compute orchestration and scheduling on Kubernetes and Ray for large-scale AI model training and inference. Tune and benchmark pretraining software on Nvidia GB200 and AMD MIxxx GPU clusters, improve cluster efficiency, enable observability and reliability, collaborate with research and framework teams, and influence architecture and roadmap for Copilot and foundational models.

Lead and run executive operating rhythms and the Commercial Business Overview, drive cross-organizational alignment, translate strategy into measurable execution, and improve operating models and tooling to increase transparency and follow-through.

Drive technical pre-sales for data security: deliver demos/PoCs, lead hands-on workshops, design secure architectures, resolve technical blockers, advise on data governance and AI platform security, and represent Microsoft in developer communities.

Define and drive Security Operations strategy at the intersection of Identity and AI. Analyze IAM and AI roadmaps, perform threat modeling, build security frameworks for AI-enabled systems and agentic workloads, identify capability gaps, incubate new security approaches, and partner with engineering and security teams to influence long-term direction and operational readiness.

Lead strategy to define and scale technical skilling for Microsoft's global Security Solutions Specialist community. Use sales and field data, market intelligence, and AI-enabled analytics to identify capability gaps, design skilling frameworks, drive adoption, measure impact, and advise senior leaders to accelerate security and AI-driven customer outcomes.

Lead Microsoft's global Security partner strategy to accelerate customer adoption, consumption, and value realization via partner-led motions. Drive strategy, analytics, governance, partner readiness, and cross-functional alignment; generate insights from partner and product data; manage strategic programs and stakeholder communications; mentor team members and continuously optimize partner ecosystem performance.

Lead global technical skilling strategy for Microsoft Security Solution Engineers: define capability frameworks, analyze field and performance data to identify gaps, design scalable AI-enabled learning and assessment, advise senior leaders, partner across product/engineering/enablement, drive adoption and measure impact, and build high-performing risk and capability practices.