Senior Security Engineer

Technical Leadership & Solution Delivery

• 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).
• Persist with data, AI, and platform teams to ensure solutions are scalable, secure, and production-ready.

Application Security

• 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.
• Applies deep technical expertise in security telemetry, application logging, and runtime monitoring to design, integrate, and optimize application level security and observability capabilities enterprise-wide.
• Experienced in Leveraging GitHub Copilot as a hands-on productivity and quality accelerator for secure software development, including code scaffolding, refactoring, test generation, and documentation, while ensuring adherence to enterprise security and coding standards.

Application Vulnerability Management

• Own and lead application vulnerability management from a technical standpoint, including tooling, integrations, automation, and remediation workflows.
• Partner with CISO (THIP) and Engineering organization and drive modernization and automation of vulnerability intake, prioritization, and reporting using AI and data-driven techniques.
• Partner with application teams to embed vulnerability remediation into SDLC and CI/CD pipelines.

Engineering Partnership & Best Practices

• 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.
• Influence engineering teams through technical standards, reference architectures, and hands-on guidance rather than mandate.

Team Leadership & Delivery Excellence

• Provide technical leadership to an offshore engineering team, including design guidance, code reviews, mentoring, and delivery oversight.
• Ensure high engineering quality, operational stability, and adherence to enterprise security and compliance standards.
• Contribute to roadmap planning, prioritization, and continuous improvement of cyber platforms and capabilities.

Required Experience & 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). This includes 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.
• 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.
• 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).