Senior Security Engineer to support DevSecOps team and drive the GenAI security strategy, enhance Cl

3 days ago


Vancouver, Canada S.i. Systems Full time
Our Public Sector client is seeking a

Senior Security Engineer to support DevSecOps team and drive the GenAI security strategy, enhance Cloud application security policies in Azure, assist with maturing the security engineering program. -

0115969

12 months contract, 2 days/month in Office + as requested.

Must Have: 10+ years of experience with

information security and secure application development A minimum of 1 year experience in securing

GenAI

solutions Demonstrated subject matter expertise in

Application Security, API security, GenAI/LLM security In depth experience with

threat modeling, secure code reviews, and penetration testing Experience architecting and leading security for Cloud native applications in

Azure , Azure DevOps Demonstrated expertise in product/application security architecture, network security, application security, web services, Angular, JavaScript Undergraduate degree in Computer Science or STEM (Science, Technology, Engineering or Math)

Nice to Have: Experience in performing the penetration testing for GenAI models and related solutions Experience with the security of automation built around Gen AI inputs and outputs Knowledge with Azure cloud architecture, Azure defender, and Azure security center policies. Experience in defining and documenting security reference architectures and standards Experience with SAST/DAST/SCA tools like BurpSuite, Mend Knowledge of Secure SDLC frameworks such as NIST SSDF, OpenSAMM, BSIMM

Responsibilities:

Partnering with architecture, application, security, and operational teams to identify security patterns, requirements and drive security on AI and Cloud application projects. Research new security threats for GenAI systems and mechanisms for defending against such threats, to continuously improve our security guidance and solutions. Collaborate with cloud engineers and application developers to build automated tooling and solutions that support teams throughout their software development journey. Defining security controls for implementation of platforms using AI/ML using a combination of Cloud-native and On-Premises Security tools and applications. Conducting security reviews and recommendations for IaaS, PaaS, & SaaS Cloud environments, cloud applications and AI solutions Developing Cloud Security requirements and policies for IaaS, PaaS, and CaaS environments built using Terraform Designing and implementing security controls and policies with Microsoft Defender suite, Microsoft security center, and equivalent security tools for Cloud applications. Document security guardrails for AI and cloud application security and build the knowledge within the team of security engineers. Apply

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