{"id":3908270,"url":"https://alion.io/job/querentia-senior-devsecops-ai-security-engineer","title":"Senior DevSecOps & AI Security Engineer","company":{"id":4460938,"name":"Querentia","domain":"querentia.com","url":"https://alion.io/company/querentia","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"C","score":56,"open_postings":218,"ghost_share":0.729,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Security","role_family":"Security","seniority":"senior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GitHub","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Shift-Left Security","optional":false},{"name":"Threat Modeling","optional":false}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-11-12T00:39:35Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":50},"description":"Senior DevSecOps & AI Security EngineerRole Overview\nWe are seeking an experienced Senior DevSecOps & AI Security Engineer to strengthen security across applications, cloud-native platforms, DevSecOps 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.\nPrimary Skills\nApplication Security - SAST, DAST, Secure Code Review\nPenetration Testing - Web, API, Mobile\nAI/LLM Security - Prompt Injection, Jailbreak & Model Security\nDevSecOps & CI/CD Security\nVulnerability Management & Remediation\nSecurity Automation using Python\nSecondary Skills\nAzure Cloud Security\nContainer & Kubernetes Security\nSCA & Open-Source Security\nGitHub Security Controls\nThreat Modeling & Risk Assessment\nSecurity Governance & Developer Enablement\nKey Responsibilities\nSecurity Assessment & Testing\nPerform penetration testing across web, API, mobile, cloud-native, and AI-powered applications .\nConduct secure code reviews and identify application security weaknesses.\nValidate findings from SAST, DAST, SCA, and container security tools .\nPerform vulnerability analysis, root-cause investigation, and remediation validation.\nAI Security\nAssess AI/LLM applications for security vulnerabilities and misuse scenarios.\nConduct prompt injection, manipulation, and jailbreak testing.\nEvaluate AI deployment architectures and recommend appropriate security controls.\nSupport secure AI adoption across enterprise platforms.\nDevSecOps & Automation\nIntegrate security controls into CI/CD pipelines and deployment workflows.\nImplement shift-left security practices.\nAutomate security validation and reporting using Python .\nOptimize vulnerability assessment and remediation workflows.\nEnhance security monitoring and policy enforcement across development environments.\nCloud & Container Security\nPerform Azure cloud security assessments .\nReview Kubernetes and containerized workloads for security risks.\nAnalyze container images and deployment configurations.\nRecommend cloud-native security practices and remediation actions.\nVulnerability Management & Governance\nReview and validate vulnerabilities identified by enterprise security tools.\nPrioritize findings based on exploitability, business risk, and operational impact .\nDrive remediation with engineering teams and verify effectiveness.\nSupport security governance, compliance, and audit activities.\nStakeholder Engagement\nCollaborate with development, DevOps, architecture, and product teams .\nProvide guidance on secure coding and vulnerability remediation.\nMentor engineering teams on security-first development.\nPresent security findings and recommendations to technical and business stakeholders.\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Information Security, Cybersecurity, or related field .\n6+ years of experience in Application Security, DevSecOps, Offensive Security, or Security Engineering.\nStrong understanding of SDLC, SSDLC, DevSecOps, and MLOps .\nHands-on experience with penetration testing, secure code reviews, and vulnerability management.\nExperience securing cloud-native and AI-enabled applications .\nStrong Python scripting and security automation experience.\nCertifications\nAny 2-3 certifications mandatory:\nCISSP\nCSSLP\nMicrosoft Azure Security Engineer ( AZ-500 )\nCertified DevSecOps Professional\nCloud Security Certifications - 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