Serve as a trusted technical advisor to the Enterprise Cyber Focal Lead, translating cyber strategy into scalable, high-impact technical solutions.
Design, build, and implement complex cyber solutions leveraging AI/ML to improve threat detection, vulnerability management, risk prioritization, and automation.
Lead end-to-end solution architecture, including design reviews, implementation, and operational readiness for cyber platforms and tooling.
Apply full-stack application development expertise to build secure, resilient, and performant cyber applications and services.
Architect and deliver solutions using AWS cloud services, following cloud-native, well-architected, and security principles.
Apply hands-on AI/ML capabilities (GCP preferred) to build and operationalize intelligent cyber capabilities (e.g., analytics, anomaly detection, automation, decision support).
Partner with data, AI, and platform teams to ensure solutions are scalable, secure, and production-ready.
Own and lead application vulnerability management from a technical standpoint, including tooling, integrations, automation, and remediation workflows.
Act as a trusted partner to Security, Platform, Reliability and Software Engineers, enabling secure, reliable, and resilient application delivery.
Define, promote, and enforce application security best practices, including secure coding, dependency management, secrets handling, logging, and monitoring.

6+ years of experience in cyber-focused application development (security engineering), with time in technical leadership roles.
Strong security application development experience (frontend, backend, APIs, integrations).
Proficiency in modern frameworks and languages such as Angular, React, or Vue.js with strict Content Security Policy (CSP) and XSS prevention.
Node.js or NestJS using security modules like Helmet, Jose, and express-validator.
Proven experience designing and delivering enterprise-scale cyber, security or application platforms.
Experience leading and mentoring distributed/offshore technical teams, using Splunk, Dynatrace, Akamai or other events and logs.
Knowledge of application security, vulnerability management, and secure SDLC practices is preferred.
Expertise in API design (REST/GraphQL), database technologies (SQL and NoSQL), and cloud-native development on platforms such as Azure or AWS.
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.
Demonstrated hands-on AI/ML implementation experience, with GCP preferred (Vertex AI, BigQuery, ML pipelines, or equivalent).

Senior Security Engineer

Key skills