Top Tech Jobs & Startup Jobs in Charlotte, NC

Owns the strategy, roadmap, development, and lifecycle of enterprise security products and platforms. Defines product vision, KPIs, backlogs, and secure-by-default capabilities integrated into developer workflows. Partners with engineering and security teams to deliver Agile releases, improve developer experience, reduce risk, support compliance, and incorporate AI-driven automation. Requires strong product management experience, security and DevSecOps knowledge, data-driven planning, and familiarity with cloud, application security, identity, and vulnerability management technologies.

As a Digital Product Manager, you will define and manage product strategies, collaborate with teams for product development, and utilize market research to meet customer needs while aligning with company goals.

Own the strategy, roadmap, delivery, and lifecycle of enterprise data security products. Lead data governance, discovery, classification, DLP, access governance, compliance, and secure-by-design capabilities. Manage backlogs, Agile delivery, KPIs, stakeholder communication, and risk reduction outcomes while integrating AI to improve security workflows and productivity.

Engineer and maintain enterprise network security platforms across on-premises and cloud environments. Design firewall and network security solutions, troubleshoot complex connectivity and security issues, and automate infrastructure operations using scripting, APIs, Infrastructure as Code, configuration management, and CI/CD pipelines. Support platform upgrades, vulnerability remediation, monitoring integrations, validation processes, and modernization initiatives while collaborating with network, cloud, application, and security teams.

Lead engineering for enterprise network security platforms, including firewall infrastructure, Infrastructure as Code, CI/CD pipelines, Ansible automation, APIs, and scripting. Troubleshoot complex network, cloud, and security issues; establish engineering standards; improve reliability and scalability; manage platform upgrades and vulnerability remediation; and provide technical leadership across engineering, networking, application, cloud, and security teams.

Designs, develops, deploys, and supports secure AI-powered enterprise applications and automation solutions. Builds backend services, APIs, cloud-native applications, and integrations using Generative AI, LLMs, RAG, agentic frameworks, and modern software engineering practices. Fine-tunes models, optimizes performance, manages production deployments, and contributes to architecture, documentation, Agile ceremonies, governance, security, privacy, and cross-functional delivery.

Design, develop, test, deploy, and support enterprise full-stack applications using React, Java/Spring Boot, and Python. Build secure APIs, microservices, integrations, chatbot interfaces, and cloud-native solutions. Work with Azure or AWS, Docker, Kubernetes, CI/CD pipelines, databases, messaging systems, and enterprise security practices. Collaborate in agile teams, participate in architecture discussions, refine requirements, conduct code reviews, and maintain quality through automated testing. Experience integrating AI or generative AI solutions is preferred.

Develop and support full-stack enterprise applications for legal operations, matter management, document management, compliance, and business process automation. Build React frontends, Java and Spring Boot microservices, REST APIs, event-driven integrations, and cloud-native solutions. Work with databases, Docker, Kubernetes, Azure, AWS, CI/CD, monitoring, security, production support, and Agile delivery while collaborating with legal, compliance, product, architecture, and engineering teams.

Leads and develops software engineering teams while remaining hands-on with Java and Spring Boot development. Responsibilities include setting architecture and technical roadmaps, delivering scalable enterprise applications, guiding Agile planning, improving CI/CD and DevOps practices, supporting production reliability, mentoring talent, and partnering with product and business stakeholders. The role manages hiring, performance, succession planning, and engineering excellence initiatives.

Analyze cloud and Kubernetes usage to identify cost inefficiencies, anomalies, and optimization opportunities. Build scripts, API integrations, dashboards, forecasts, and repeatable workflows to improve cloud-cost visibility and efficiency. Partner with engineering, product, finance, architecture, and leadership teams to implement recommendations, support commitment planning, and expand FinOps practices through tools, standards, documentation, and education.