Senior Security Engineer

About the role

The Enterprise Cyber Focal Office – Sr. Security Engineer is a senior, hands-on technical leader and trusted partner to the Enterprise Cyber Focal Lead. This role is responsible for designing, building, and implementing complex, AI-driven cyber security solutions that strengthen application security, vulnerability management, and enterprise cyber resilience.

Responsibilities

• 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.
• Cloud & AI Engineering 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.
• 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.
• Experience leading and mentoring distributed/offshore technical teams, using Splunk, Dynatrace, Akamai or other events and logs.
• 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.
• Deep hands-on experience with AWS cloud architecture and related services.
• Proven experience designing and delivering enterprise-scale cyber, security or application platforms.
• Experience across 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.
• Strong hands-on AI/ML implementation experience, with GCP preferred (Vertex AI, BigQuery, ML pipelines, or equivalent).

Qualifications

• 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).
• 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.
• 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.
• Deep hands-on experience with AWS cloud architecture and related services.
• Proven experience across 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.
• Strong hands-on AI/ML implementation experience, with GCP preferred (Vertex AI, BigQuery, ML pipelines, or equivalent).