Top Tech Jobs & Startup Jobs in Charlotte, NC

Manage 60-70 Enterprise accounts, develop account strategies, negotiate agreements, engage key decision-makers, and collaborate with cross-functional teams to drive sales.

The role involves leading the Public Sector legal team, advising on government contracting and software licensing, and managing legal risks.

The Sr. Product Operations Manager oversees product integration, leads strategic initiatives, manages projects, and optimizes operational processes while collaborating with internal teams.

Lead threat hunting operations and architect detection capabilities for CrowdStrike's Falcon platform. Collaborate with teams to enhance security measures and drive automation.

Senior Threat Response Specialist for Falcon Complete MDR supporting detection enablement, threat research, incident investigations, and analyst enablement. Develop remediation plans, integrate threat intelligence into detections, and maintain knowledge artifacts and automation to improve response across Endpoint, Identity, Cloud, and NG-SIEM environments.

Design, implement, and maintain scalable hybrid multi-cloud Kubernetes platforms at massive scale. Ensure high reliability, integrate open-source observability tools, provide technical direction, operate large Linux environments across cloud and data centers, handle on-call duties, and mentor junior engineers.

The Sr. Automation Engineer will design and implement cloud ecosystems and automation services, focusing on microservices, AI integration, and scalable infrastructures. Responsibilities include managing pipelines, collaborating with SOC analysts, and adhering to best coding practices.

The Technical Support Engineer will troubleshoot and resolve customer issues, provide technical direction, and document processes for GovCloud customers, ensuring high-quality responses and customer satisfaction.

The Senior Systems Architect will design scalable distributed systems for security operations, guiding engineering teams and optimizing workflows for service delivery while addressing technical and architecture challenges.

Lead and hands-on develop the full post-training stack for security-domain AI, including SFT, RLHF/RLAIF, reward modeling, and agent-RL harnesses. Build training environments and agent scaffolds, define evaluation and benchmarks, drive research direction, publish findings, and recruit and grow a high-density research and engineering team while actively contributing to experiments and architecture.