Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead Services Sales account strategy for multiple assigned accounts, drive renewals, upsells, and strategic cloud/AI opportunities. Orchestrate the account team, manage deals from qualification through close, ensure smooth sales-to-delivery handoffs, gather customer insights, and align Microsoft services to customer priorities to grow consumption and satisfaction.

Lead customer-facing technical sales engagements for GitHub Copilot, GitHub Enterprise, and Microsoft developer technologies. Responsibilities include discovery, demos, hackathons, workshops, training, pilots, adoption planning, and technical competitive positioning. The role translates AI-powered software development capabilities into business outcomes and advises SLED customers on DevOps, CI/CD, security, governance, Azure integration, licensing, and token optimization.

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 cross-team technical programs for Azure Storage: define roadmaps, coordinate execution, design technical solutions, identify risks and mitigations, validate use cases and tests, collect metrics, and drive customer and stakeholder engagement.

Build and support scalable enterprise applications across the full software development lifecycle. Design AI-infused and Copilot-powered solutions using cloud, microservices, full-stack, database, and Power Platform technologies. Responsibilities include requirements gathering, architecture, coding, testing, deployment, monitoring, incident mitigation, reliability improvements, planning, code reviews, and collaboration with product managers, designers, stakeholders, and engineering teams.

Lead and grow a developer experience team responsible for monorepo strategy, CI/CD, build systems, developer environments, and onboarding. Improve engineering velocity, CI reliability, and developer trust; establish standards, adopt AI-assisted workflows, and partner with infra/ML teams to remove friction for large-scale AI research.

Lead and coordinate enterprise-wide response to critical cybersecurity incidents and vulnerabilities. Triage incidents, make high-stakes remediation decisions, produce incident reports and executive updates, validate customer guidance, and drive cross-organizational remediation efforts to protect Microsoft and its customers.

Lead and grow an engineering team building core VM and container platform capabilities for Azure. Drive technical strategy, execution, incident resolution, cross-team coordination, and scalable, secure platform innovations.

Design and lead end-to-end enterprise data and GenAI architectures, drive cloud migration/modernization, define GenAI/Copilot/agentic patterns (RAG, embeddings, vector search), establish MLOps/LLMOps and governance, ensure Responsible AI and security, and act as trusted technical advisor across presales through production.

Perform advanced threat hunting and deep analysis of attacker activity across on-premises and cloud environments, notify customers of imminent threats, build proof-of-concept hunting tools and automations, synthesize findings into mitigation recommendations, and drive product/tool improvements by transferring threat intelligence and investigation best practices to engineering and customer teams.