Drive security strategy and engineering solutions for Generative AI and LLM platforms.
Act as a key technical leader, enhancing infrastructure security.
Research, evaluate, and conduct proof-of-concepts for new security technologies.
Partner with AI Development teams for infrastructure security expertise.
Collaborate with DevOps to translate successful security PoCs into production-ready solutions.

Requirements

7 + years of progressive experience in Cybersecurity, Cloud Security Engineering, or Application Security.
Hands-on experience securing platforms and services in Microsoft Azure and Google Cloud Platform (GCP).
In-depth knowledge of Identity and Access Management (IAM) concepts.
Solid background in designing and testing the security of REST APIs.
Practical experience designing or implementing solutions for secure secret storage and retrieval.
Ability to script in Python, Go PowerShell, or similar languages.
Strong understanding of the AI/ML development lifecycle and the unique security risks associated with Generative AI.
Familiarity with the security implications of emerging agent collaboration protocols.

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

CybersecurityCloud Security EngineeringApplication SecurityIdentity and Access ManagementREST APIsPythonGoPowerShellsecure secret storageGenerative AI

Soft Skills

technical leadershipcollaborationresearchevaluationproof-of-concepts