Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead development of infrastructure automation software and APIs, define coding architecture and standards, manage a team of ~6 developers, ensure CI/CD and IaC best practices, enforce code review and release processes, and build automated regression and integration tests to ensure reliable deployments.

Design, implement, and integrate vendor AI platforms in on‑prem OpenShift environments. Deploy and operate LLM services, RAG pipelines, agents, and data integrations. Apply predefined Responsible AI controls, security, logging, and observability. Support production readiness, troubleshooting, APIs, data pipelines, and provide implementation feedback to senior architects to ensure scalable, auditable, and reliable AI solutions.

The Credit Officer II manages the credit process for a portfolio, negotiates documentation, leads approval processes, and provides advisory solutions in commercial banking.

Lead a team focused on delivering technology products for automated patching and repaving in a secure, scalable environment while coaching staff and managing stakeholder relationships.

The Senior Engineer SIEM Platform Engineering & Operations manages and optimizes SIEM platforms, including Splunk and Microsoft Sentinel, ensuring operational health and data quality while collaborating on security detection and analytics enhancements.

The Private Wealth Investment Management Specialist defines investment management philosophy, aligns client goals with asset allocation, and delivers targeted solutions.

Lead end-to-end product lifecycle for an exclusive Ultra High Net Worth (UHNW) lifestyle services program. Drive partner/vendor procurement and relationship management, coordinate cross-functional launch and delivery, define value proposition and success metrics, train client teams, monitor competitive landscape, and manage program P&L and KPIs to ensure a best-in-class client experience.

Configure and implement business strategies into marketing decision engines; design and develop operational initiatives, support testing and triage, translate requirements into decision logic, collaborate with Product, Marketing, Risk, and Technology teams, and use SQL/Python/SAS and decisioning platforms to enable cross-channel targeting and eligibility.

Lead design, development, and delivery of AI and non-AI enterprise applications. Define architectures (microservices, cloud-native, event-driven), implement LLM/RAG/agent solutions, build Java/Python backend services, ensure security/compliance, drive CI/CD/observability, mentor engineers, and translate business needs into scalable, production-ready systems.

Lead design and delivery of automation for enterprise Generative AI and analytics platforms. Build IaC, CI/CD pipelines, deployment automation, observability, and self-service provisioning. Partner with platform, cloud, architecture, security, and business teams to ensure scalable, secure, and compliant AI/data platform operations while providing technical leadership and mentorship.