Top Tech Jobs & Startup Jobs in Charlotte, NC

Owns complex, cross-system software solutions from architecture through production and support. Designs and deploys secure AI and agentic applications, integrates disparate systems and APIs, establishes engineering standards, and partners with business stakeholders. Works hands-on across the full stack while shaping architecture, testing, CI/CD, documentation, security, privacy, and governance practices for a growing internal engineering function.

Configure and support NetSuite and ERP solutions, including requirements gathering, functional specifications, data migration, system testing, issue resolution, financial reporting, and module implementation. The role manages project tasks, documentation, timelines, budgets, and status updates while supporting clients across financials, purchasing, sales orders, manufacturing, warehousing, CRM, and project accounting.

Design, implement, and operate application and cloud security controls across the SDLC. Integrate security tooling (SAST/DAST/SCA/IaC), secure CI/CD pipelines, run secure code reviews and threat modeling, deploy and manage cloud security posture and CNAPP tooling, and partner with engineering teams to remediate vulnerabilities and build secure, repeatable patterns.

Lead design and implementation of enterprise IAM capabilities (IGA, AM, PAM). Build SSO/MFA, RBAC/ABAC, lifecycle provisioning/deprovisioning, privileged account management, integrations with cloud and on‑prem, scripting automation, directory services management, and IAM monitoring and incident response.

Design, train, validate, and deploy traditional ML models and feature pipelines within Microsoft Fabric/Databricks. Partner with Data Engineers to optimize Medallion layers for model training and inference, implement MLOps (model registry, monitoring, retraining), perform EDA on large enterprise datasets, translate analytics to business insights, and document algorithm governance and fairness.

Develop production-grade Python solutions to integrate with complex third-party APIs, parse and flatten messy data, automate infrastructure tasks, write and optimize PySpark transformations in Microsoft Fabric, build internal tooling/CLIs, and ensure code quality, testing, and CI/CD integration.