Top Tech Jobs & Startup Jobs in Charlotte, NC

Defines and governs enterprise application architecture across quoting, catalog, and pricing portfolios. Designs APIs, integration patterns, cloud-native solutions, security practices, disaster recovery, observability, and performance strategies. Translates business requirements into scalable technical solutions, leads architecture governance, evaluates emerging technologies, mentors engineering teams, and communicates decisions and roadmaps to technical and business stakeholders.

Designs and shapes infrastructure technology solutions for State, Local, and Education clients, focusing on digital workspace, networking, data center, and mobility services. Advises customers, develops business cases and financial models, supports sales pursuits, coordinates solution development teams, and collaborates with account, project, and delivery teams. The role also contributes to project planning, resource management, technology assessments, transformation strategy, and successful solution execution. Travel is required up to 25%.

Maintains and secures enterprise end-user computing environments across Windows, macOS, Android, and iOS. Responsibilities include endpoint configuration, vulnerability patching, software packaging, virtual desktop administration, policy management, troubleshooting, documentation, hardware standards, automation, root cause analysis, vendor coordination, and support rotation participation.

Serves as a senior data center engineer delivering hands-on infrastructure projects for enterprise customers. Installs and integrates complex hardware and software systems, including VMware, storage, networking, hyper-converged infrastructure, data protection, and cloud solutions. Manages project engagements, advises customers, coordinates with internal teams, works under tight schedules, and builds customer relationships. The position may require travel up to 75% and involves mentoring less experienced personnel.

Architect and deliver high-scale NVIDIA GPU compute environments for enterprise AI workloads. Lead bare-metal provisioning, cluster management, operating-system hardening, scheduler and workload configuration, monitoring, performance validation, and day-two operations. Serve as a customer-facing technical authority, supporting presales discovery, architecture, bills of materials, estimation, and client workshops. Design repeatable AI infrastructure across DGX, HGX, MGX, NVL72, and Cisco AI POD platforms.

Architects and delivers high-performance AI networking fabrics using NVIDIA InfiniBand and Spectrum-X Ethernet. Designs lossless, automated, scalable network infrastructure for DGX and AI cloud environments; configures routing, QoS, RoCEv2, SHARP, telemetry, and DPU offload. Owns cabling, link validation, performance testing, infrastructure-as-code, and day-two operations. Provides technical leadership in client workshops, presales scoping, bills of materials, cost estimation, and integration with enterprise networks.

Performs security assessments, vulnerability identification, threat mitigation, security architecture, and implementation of information assurance systems for a DoD Zero Trust program. The role designs and integrates security controls across network, computing, and enclave environments; supports risk management, certification, compliance, and security planning; and assists with installation, migration, and configuration activities across multiple client locations.

Leads the design, implementation, integration, and operation of enterprise Zero Trust security solutions for a DoD client. Evaluates technologies, aligns architectures with DoD requirements, secures networks and systems, integrates cybersecurity monitoring and response tools, researches security improvements, and briefs client leadership. The role supports installation, migration, and configuration activities across multiple locations and requires extensive collaboration with network and hardware teams.

Evaluate and develop compute technologies for an advanced technology lab. Design and build compute environments for sandboxes, proofs of concept, and lab-as-a-service engagements. Create architectural diagrams, access guides, test plans, use cases, and technical designs. Collaborate with customers, sales, partners, and internal teams; support business development and marketing initiatives; maintain OEM partnerships; and achieve certifications required for partner status.

Lead client-facing FinOps engagements from discovery through realization, including cloud cost assessments, tooling implementation, allocation models, optimization, governance, and technical remediation. Advise executive stakeholders, architect solutions across AWS, Azure, or GCP, and support presales proposals. Develop reusable delivery frameworks, playbooks, SOWs, pricing models, and scalable offerings, including emerging AI infrastructure cost-management practices.