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Ardent SoftSol Inc.

Senior DevSecOps & AI Security Engineer

Toronto, ON, Canada

Job type: Contract
Apply by: Nov 23, 2026
Experience: 6+ years of experience in Application Security, DevSecOps, Offensive Security, or Security Engineering.
Posting language: English
Posted: Sep 24, 2026

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Original job description

Senior DevSecOps & AI Security Engineer

Toronto, Canada (Onsite)

Contract

F2F Interview

Role Overview

We are looking for an experienced Senior DevSecOps & AI Security Engineer to strengthen enterprise security across applications, cloud-native platforms, DevSecOps pipelines, and AI/LLM-based solutions. The ideal candidate will have deep expertise in application security, offensive security testing, vulnerability management, secure code reviews, cloud security, and emerging AI security practices.

This role will partner with engineering, architecture, product, and leadership teams to embed security throughout the Software Development Lifecycle (SDLC) and MLOps lifecycle while enabling secure innovation.

Primary Skills

Application Security (SAST, DAST, Secure Code Review)

Penetration Testing (Web, API, Mobile)

AI/LLM Security (Prompt Injection, Jailbreak Testing, Model Security)

DevSecOps & CI/CD Security

Vulnerability Management & Remediation

Security Automation using Python

Secondary Skills

Azure Cloud Security

Container & Kubernetes Security

SCA & Open-Source Security

GitHub 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 security weaknesses in enterprise applications.

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

Execute vulnerability analysis, root cause investigation, and remediation validation.

AI Security Engineering

Assess AI and LLM-based applications for security vulnerabilities and misuse scenarios.

Conduct prompt injection, prompt manipulation, and jailbreak testing.

Evaluate AI deployment architectures and recommend security controls.

Support secure AI adoption initiatives across enterprise platforms.

DevSecOps & Security Automation

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

Implement shift-left security practices across engineering teams.

Automate security validation and reporting using Python and modern security tooling.

Optimize vulnerability assessment workflows and remediation tracking.

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 best 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.

Perform root cause analysis and drive remediation efforts with engineering teams.

Track security findings through closure and verify remediation effectiveness.

Support security governance, compliance requirements, and audit activities.

Stakeholder Engagement

Work closely with development, DevOps, architecture, and product teams.

Provide guidance on secure coding, vulnerability remediation, and security best practices.

Mentor engineering teams on security-first development approaches.

Present security findings and recommendations to business and technical stakeholders.

Required Qualifications

Bachelor’s or master’s degree in computer science, Information Security, Cyber Security, or related discipline.

6+ years of experience in Application Security, DevSecOps, Offensive Security, or Security Engineering.

Strong understanding of SDLC, SSDLC, DevSecOps, and MLOps practices.

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

Experience securing cloud-native and AI-enabled applications.

Strong scripting and automation experience using Python.

Preferred Certifications (Any 2 to 3 Certifications Mandatory)

Certified Information Systems Security Professional (CISSP)

Certified Secure Software Lifecycle Professional (CSSLP)

Microsoft Azure Security Engineer (AZ-500)

Certified DevSecOps Professional

Cloud Security Certifications (Azure/AWS)

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More about this job

Responsibilities

Assess web, API, mobile, cloud-native, and AI-powered applications through penetration testing, secure code reviews, vulnerability analysis, and remediation validation. Integrate and automate security controls across CI/CD, cloud, container, and AI environments while guiding engineering teams and supporting security governance.

Requirements

Requires a bachelor's or master's degree in computer science, information security, cybersecurity, or a related discipline, along with 6+ years of relevant security experience. Candidates need hands-on expertise in penetration testing, secure code reviews, vulnerability management, cloud-native and AI-enabled application security, SDLC/DevSecOps/MLOps, and Python; two to three listed certifications are mandatory.

Skills

Application Security
Penetration Testing
AI/LLM Security
DevSecOps
CI/CD Security
Vulnerability Management
Python
Secure Code Review
Azure Cloud Security
Kubernetes Security
Container Security
Threat Modeling
Security Automation
SAST
DAST
MLOps

Visa sponsorship

Not detected in the job text

Keywords

Application Security
SAST
DAST
Secure Code Review
Penetration Testing
Web Security
API Security
Mobile Security
AI Security
LLM Security
Prompt Injection
Jailbreak Testing
DevSecOps
CI/CD Security
Vulnerability Management
Python
Azure
Kubernetes
Container Security
Software Composition Analysis
Open-Source Security
GitHub Security Controls
Threat Modeling
Risk Assessment
SDLC
SSDLC
MLOps
CISSP
CSSLP
AZ-500

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