Senior Dev

SecOps & AI Security Engineer Role Overview We are seeking an experienced Senior Dev

SecOps & AI Security Engineer to strengthen security across applications, cloud-native platforms, Dev

SecOps pipelines, and AI/LLM-based solutions .

The role focuses on application security, offensive security testing, vulnerability management, secure code reviews, cloud security, and emerging AI security practices.

Primary Skills Application Security SAST, DAST, Secure Code Review Penetration Testing Web, API, Mobile AI/LLM Security Prompt Injection, Jailbreak & Model Security Dev

SecOps & CI/CD Security Vulnerability Management & Remediation Security Automation using Python Secondary Skills Azure Cloud Security Container & Kubernetes Security SCA & Open-Source Security Git

Hub Security Controls Threat Modeling & Risk Assessment Security Governance & Developer Enablement Key Responsibilities Security Assessment & Testing Perform penetration testing across web, API, mobile, cloud-native, and AI-powered applications .

Conduct secure code reviews and identify application security weaknesses.

Validate findings from SAST, DAST, SCA, and container security tools .

Perform vulnerability analysis, root-cause investigation, and remediation validation. AI Security Assess AI/LLM applications for security vulnerabilities and misuse scenarios.

Conduct prompt injection, manipulation, and jailbreak testing.

Evaluate AI deployment architectures and recommend appropriate security controls.

Support secure AI adoption across enterprise platforms.

Dev

SecOps & Automation Integrate security controls into CI/CD pipelines and deployment workflows.

Implement shift-left security practices.

Automate security validation and reporting using Python .





Optimize vulnerability assessment and remediation workflows.

Enhance security monitoring and policy enforcement across development environments.

Cloud & Container Security Perform Azure cloud security assessments .

Review Kubernetes and containerized workloads for security risks.

Analyze container images and deployment configurations.

Recommend cloud-native security practices and remediation actions.

Vulnerability Management & Governance Review and validate vulnerabilities identified by enterprise security tools.

Prioritize findings based on exploitability, business risk, and operational impact .

Drive remediation with engineering teams and verify effectiveness.

Support security governance, compliance, and audit activities.

Stakeholder Engagement Collaborate with development, Dev

Ops, architecture, and product teams .

Provide guidance on secure coding and vulnerability remediation.

Mentor engineering teams on security-first development.

Present security findings and recommendations to technical and business stakeholders.

Required Qualifications Bachelor''s or Master''s degree in Computer Science, Information Security, Cybersecurity, or related field . 6+ years of experience in Application Security, Dev

SecOps, Offensive Security, or Security Engineering.

Robust understanding of SDLC, SSDLC, Dev

SecOps, and MLOps .

Hands-on experience with penetration testing, secure code reviews, and vulnerability management.

Experience securing cloud-native and AI-enabled applications .

Strong Python scripting and security automation experience.

Certifications Any 2 3 certifications mandatory: CISSP CSSLP Microsoft Azure Security Engineer ( AZ-500 ) Certified Dev

SecOps Professional Cloud Security Certifications Azure/AWS

📌 Senior DevSecOps & AI Security Engineer (Toronto)
🏢 Querentia
📍 Toronto