Manager Software Engineering - Cyber Focal, Charlotte

The **Enterprise Cyber Focal Office - Manager of Software Engineering** is a senior, hands-on technical leader and trusted partner to the Enterprise Cyber Focal Lead.
This role is responsible for designing, developing, and implementing complex, AI-driven cyber security solutions that strengthen application security, vulnerability management, and enterprise cyber resilience.Operating at a technical lead/manager (T7) level, this role combines **deep engineering expertise**, **cloud-native architecture**, and **applied AI** with strong leadership and influence across Cyber, Reliability Engineering, Infrastructure Engineering and Software Engineering teams.
The role also provides technical leadership and direction to offshore teams and drives adoption of secure-by-design engineering practices across the enterprise.
- Demonstrated hands-on experience with enterprise security, logging, and monitoring platforms (e.g., Splunk, Dynatrace, Orca Security, Akamai), leveraging these tools to drive threat detection, observability, and risk reduction at scale.
- **7-10+ years** of experience in software engineering, platform engineering, or cyber-focused application development, with time in technical leadership roles.
- Strong **full****-****stack application development** experience (frontend, backend, APIs, integrations).
This includes proficiency in modern UI frameworks and languages such as HTML, CSS, JavaScript/TypeScript, and frameworks like React or Angular, along with strong back-end experience using languages and frameworks such as **Java, C#, Python, or Node.js.
**- The role requires expertise in API design (REST/GraphQL), database technologies (SQL and NoSQL), and cloud-native development on platforms such as Azure or AWS.
A full-stack tech lead is also adept in CI/CD practices, infrastructure-as-code, containerization (e.g., Docker, Kubernetes), and secure coding principles, with hands-on experience integrating security, logging, monitoring, and performance tools.
- Strong problem-solving skills, system-level thinking, and the ability to collaborate across product, security, and operations teams are essential to delivering scalable, resilient, and secure applications.
- Deep hands-on experience with **AWS cloud architecture and related services**.
Demonstrated **hands-on AI/ML implementation experience**, with **GCP preferred** (Vertex AI, BigQuery, ML pipelines, or equivalent).
- Proven experience designing and delivering **enterprise-scale cyber, security or application platforms**.
- Experience leading and mentoring **distributed/offshore technical teams**.
- Ability to operate as a **trusted partner and influencer** across Cyber, Engineering, and Infrastructure organizations.
- Experience across **logging and monitoring, edge and application security, AI****-****assisted development, ITSM workflows, CI/CD pipelines, and automated deployment platforms**, ensuring scalable, secure, and repeatable engineering practices.
- Knowledge of **application security**, vulnerability management, and secure SDLC practices is preferred.
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