Top Tech Jobs & Startup Jobs in Charlotte, NC

Advise leadership and lead architecture and engineering for large-scale cloud-native solutions. Design and implement IaC, multi-cloud strategies, integrations, secure resilient applications, CI/CD pipelines, and observability. Establish engineering standards, mentor teams, and drive complex initiatives from concept through production and operational support.

Lead design and delivery of enterprise-scale, hybrid data architectures; advise senior leadership; modernize legacy systems; define patterns for application, analytics, workflow, and AI workloads; mentor teams; balance scalability, security, TCO, and ROI while enabling migration to target architectures.

Lead design, build, and operate scalable, secure AWS cloud foundations. Provide technical leadership, mentor engineers, drive Landing Zones, multi-account governance, IAM, policy-based guardrails, and infrastructure automation using Terraform, GitOps, and CI/CD to enable enterprise cloud strategy and reliability.

Design, build, and maintain optimized, highly available data pipelines and the BMG Data Warehouse. Lead medium-to-complex data integration, data modeling, code reviews, QA, and cloud migration efforts. Collaborate with business partners to translate requirements into solutions, resolve technical issues, and support analytics and reporting needs while adhering to policies and compliance.

Lead design and implementation of enterprise AWS platform capabilities including landing zones, multi-account governance, IAM, networking, and platform automation. Define standards, reusable patterns, Terraform modules, and CI/CD/GitOps pipelines. Mentor engineers, collaborate with security and architecture, and enable future AWS AI/ML platform capabilities.

Lead architecture and technology strategy for Human Capital Management applications. Drive AI-enabled prototypes, define target-state architectures and standards, evaluate platforms and integrations, and partner with engineering, product, and vendors to modernize, secure, and simplify HR technology across the enterprise.

Lead the definition and execution of enterprise data strategy and architecture, designing and governing modern data ecosystems (lakehouse, data mesh, knowledge graphs, streaming). Drive reusable data products, integrations, cloud-native solutions, data modeling, pipelines, governance, and compliance while partnering with cross-functional teams to deliver analytics, reporting, and AI-driven use cases.

Lead technical cryptography and PKI governance across the enterprise: design secure cryptographic solutions, manage certificate lifecycle and HSMs, drive policy and automation, perform risk assessments and audit support, monitor emerging threats (including PQC), and mentor teams while partnering with architecture, engineering, and risk stakeholders to improve cryptographic posture and operational efficiency.

Lead AI-enabled solution design for ITSM products (Incident, Change, Problem, SACM, etc.). Translate workflows into practical AI/automation designs, prototype and validate solutions, coach product and engineering teams, recommend fit-for-purpose patterns (deterministic, ML, generative, agentic, API), and partner with architecture, platform, and governance to scale repeatable AI patterns across the ITSM portfolio.

Design, develop, test, deploy, and maintain cloud management and Infrastructure-as-Code services. Build microservices, RESTful and event-driven APIs, CI/CD pipelines, and containerized applications on Kubernetes/OpenShift. Integrate with cloud providers and apply generative AI (RAG/agentic) patterns, create documentation, and establish engineering standards and best practices.