Cybersecurity Architect

stablish LLM guardrails: prompt input/output filtering, content policy enforcement, tool permissioning, sensitive data protection, and output safety evaluation.

• Design and develop, cloud security solutions in AWS and GCP environments and drive automation to secure critical and sensitive data, services, applications, and infrastructure across our fast-growing organization.

• Drive threat modeling and secure coding practices; conduct secure code reviews and coach teams on remediation.

• Strengthen API and browser security: input validation, output encoding, CSRF/CORS, rate limiting, abuse prevention, and robust authZ models.

• Participate in architecture and design reviews with development/DevOps staff to incorporate effective security standards into design

• Provides guidance on data analysis and reporting, including the use of complex analysis or machine learning. Integrates and builds upon existing automation, security operations, and monitoring systems.

• Stay abreast of security development practices, including the research of current and evolving trends

• Must be able to perform hands-on support for a wide range of security technologies including, but not limited to: Pipeline security, DevSecOps, CloudFormation templates, Docker, Kubernetes, SIEM, IPS, Vulnerability Scanners

You've got what it takes if you have...

• Bachelor's degree in an Information Technology-related field of study or equivalent

• 7+ years of experience in system, network, cloud security and risk management.

• 2+ years securing AI/ML or LLM systems (training, fine-tuning, inference, or RAG) in production.

• Strong knowledge of networking concepts, protocols (TCP/IP, HTTP, DNS, TLS) and technologies including firewalls, TLS, IDS/IPS system, cryptographic systems, identity management systems, RADIUS, etc

• Experience working in multiple security domains such as cloud security, platform hardening, vulnerability management, web application and browser security, penetration testing, applied cryptography, network protocols and secure network design

• Good experience with a wide range of AWS or GCP tools and deep practical experience with AWS and Google Cloud.

• Programming and automation: strong Python; working knowledge of Node.js; scripting and automation for pipelines and controls.

• Good experience with a wide range of AWS tools and deep practical experience with AWS and Google Cloud.

• Experience implementing security practices in a CI/CD environment

• Ability to translate risk into actionable engineering work; excellent documentation and communication.

• Excellent at multitasking, and open to constant learning