Top Cyber Security Jobs in Vancouver

Owns enterprise AI customer deployments from discovery and product scoping through delivery, adoption, and measurable value. Translates customer workflows into product requirements, deployment roadmaps, and technical solutions while partnering with engineering, sales, finance, legal, security, and customer success. Evaluates AI-specific considerations, business cases, risks, and product opportunities, then converts recurring customer needs into scalable capabilities and operating playbooks.

Lead hardware and embedded security across Motive devices and connected cloud infrastructure. Build security baselines for boot chains, firmware, FOTA, manufacturing, and device lifecycles. Partner with hardware engineering to prioritize and remediate findings, conduct architecture reviews, threat modeling, and security testing, and define security requirements for platforms, interfaces, debug capabilities, provisioning, and lifecycle controls.

Lead hardware and embedded security for Motive devices: establish secure-by-default baselines (boot chain, firmware, FOTA, manufacturing), perform threat modeling and architecture reviews, define security requirements, drive remediation with hardware teams, and build scalable security components and automation across device lifecycle and cloud-connected infrastructure.

Lead complex security incident investigations from assessment through recovery, coordinating containment, remediation, evidence preservation, and stakeholder communication. Analyze threats across endpoint, identity, cloud, SaaS, network, and application environments. Build code, queries, automation, and AI-assisted workflows to improve evidence collection, detection, case management, and response. Lead post-incident reviews, drive lasting improvements, mentor responders, and participate in the incident response on-call rotation.

Own third-party risk management and business continuity programs while building production data pipelines, integrations, policy-as-code controls, continuous monitoring, and agentic AI workflows. The role requires defining technical direction, integrating imperfect data sources, automating evidence collection, and partnering across Security, Procurement, Resilience, and Engineering teams to improve governance and operational resilience.

Own security risk identification, quantification, prioritization, and remediation across third-party risk, assessments, and security findings. Maintain risk registers, reporting, metrics, and remediation tracking while partnering with technical and business stakeholders. Lead AI risk management for ISO 42001 certification and build automation, scripting, and AI-enabled tools to improve GRC workflows. Monitor emerging risks, frameworks, regulations, and threat trends, communicating business-relevant risk insights to leadership.

Conduct red team operations, adversary simulations, penetration testing, and offensive security assessments across cloud environments. Evaluate cloud infrastructure, IAM, CI/CD pipelines, containers, and cloud-native services; identify attack paths and configuration weaknesses; validate detection and response capabilities; track emerging attacker techniques; and drive remediation through concise reporting and stakeholder communication.

Lead hands-on product security architecture across GitLab, including design reviews, threat modeling, systemic risk remediation, security standards, prototypes, and reusable developer guardrails. Partner with engineering and product leaders, secure distributed systems and software supply chains, guide AI coding tool security, mentor security engineers, and influence technical direction through proactive architecture and clear communication.

Conduct AI-driven security assessments across software, hardware, and firmware; develop AI-enabled offensive and defensive security tooling; identify and remediate vulnerabilities; test LLMs, agentic workflows, and cloud environments; and guide organization-wide AI security strategy. Partner with engineering and leadership, lead threat-modeling sessions, and communicate security findings and recommendations to senior stakeholders.

Triage bug bounty and vulnerability management reports, validate findings, assess severity, identify duplicates, and coordinate remediation through closure. Collaborate with PSIRT, engineering, legal, communications, customer success, and security teams. Support CVE assignments as a CNA representative, communicate with researchers and customers, maintain accurate records, monitor operational metrics, and improve vulnerability-handling procedures, runbooks, and documentation.

Monitor and analyze security events, lead incident response and employee investigations, conduct digital forensics, communicate findings to stakeholders, build investigation tools and automated workflows, and improve security operations processes. The role requires Python scripting, SIEM experience, cloud security knowledge across AWS and GCP, and forensic analysis across macOS, Windows, and Linux.

Build and operate MITRE ATT&CK-aligned threat detections across cloud, endpoint, identity, email, and application telemetry. Own the detection lifecycle, advance detection-as-code with Git, testing, CI/CD, and observability, and improve data ingestion and enrichment. Evaluate AI-assisted security capabilities, translate threat intelligence into detections, and partner with Security Operations during investigations and incident exercises. The role requires strong Python and SQL skills, SIEM expertise, AWS and Linux knowledge, and independent project leadership.

Conduct offensive security assessments and vulnerability research across Windows products, including code auditing, fuzzing, penetration testing, exploit development, and native-code analysis. Identify complex vulnerabilities and attack vectors, create proof-of-concept exploits, design scalable mitigations, and build reusable security tools and automation. Partner with Windows engineering teams to improve product architecture, security design, and defenses against emerging threats.

Provides senior technical leadership for application security incident response, customer escalations, threat mitigation, and complex web attacks. Analyzes traffic, logs, alerts, and attack payloads; designs security policies; mitigates DDoS, bot, zero-day, and web application attacks; performs forensic analysis; mentors engineers; collaborates with customers and product teams; documents findings; and develops automation to improve response efficiency.

Lead cloud security architecture across AWS and GCP, strengthening identity, access management, workload protection, encryption, secrets management, and secure deployment paths. Build Terraform and policy-as-code guardrails, improve cloud threat visibility and detection, support threat hunting and incident response, and drive strategic security initiatives across engineering teams. Provide technical leadership, mentorship, and guidance while delivering measurable security improvements at scale.

Manage and scale secure logging infrastructure, including OpenSearch clusters, ingestion pipelines, parsing, normalization, access controls, maintenance, and troubleshooting. Automate operational tasks, implement infrastructure as code, support SIEM development, and help design the next-generation logging platform. The role requires AWS, Linux, scripting, infrastructure automation, and security operations experience, with opportunities to work across teams on high-volume, tamper-resistant security data systems.

Lead architecture and platform strategy for Security Solutions, defining reusable patterns and prototypes. Partner with product, engineering, data science, and security to translate needs into scalable, secure architectures. Build proofs-of-concept, use AI-assisted coding, evaluate trade-offs, and drive cross-functional alignment to production readiness. Focus areas include agentic trust data, AI agents, cloud-native platforms, and security integrations.

Lead Affirm’s enterprise AI security review program, threat-model AI and LLM applications, assess agentic systems and tool permissions, and design automated guardrails, controls, monitoring, and policy-as-code. Review code, prompts, configurations, vendors, and SaaS AI capabilities; develop testing and red-team scenarios; identify emerging vulnerabilities; support incident response; and lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance.

Lead AI and security technology strategy for government customers, translating business priorities into Microsoft solution roadmaps. Build trusted relationships with technology executives, design AI transformation plans, develop initial agentic solutions, and orchestrate Microsoft and partner teams. Lead technical governance, consultative customer engagements, secure AI adoption, and commercial growth while applying industry knowledge to address customer opportunities, threats, and barriers.

Leads secure enterprise architecture design and GitLab Professional Services implementations across application security, cloud security, DevSecOps, identity, vulnerability management, and compliance. Guides SaaS, Self-Managed, and Dedicated deployment decisions; leads CI/CD, source control, and security-tool migrations; conducts risk assessments and threat modeling; supports pre-sales scoping and statements of work; coordinates cross-functional delivery; mentors consultants; and develops security enablement materials.

Leads enterprise security, compliance, and IT operations, establishing a unified roadmap and team. Owns security posture, incident readiness, SOC 2, NIST, BSIMM, privacy, vendor reviews, data protection agreements, AI governance, access controls, employee technology, corporate system reliability, budgets, and audit readiness. Partners with engineering, product, sales, people teams, customers, and executive leadership to protect sensitive data and scale secure operations.

Conduct red team operations, adversary simulations, and offensive security assessments across cloud environments. Evaluate cloud infrastructure, identity architectures, CI/CD pipelines, containerized workloads, and cloud-native services. Identify attack paths involving IAM, secrets, metadata, automation, and configuration weaknesses. Validate detection and response capabilities with blue teams, track emerging attacker techniques, and drive remediation through concise reporting and stakeholder communication.

Designs enterprise cybersecurity architectures, reference patterns, strategies, and roadmaps spanning identity, endpoints, vulnerability management, security operations, analytics, automation, and emerging AI capabilities. Evaluates technology integration, interoperability, risks, and future-state designs; establishes guardrails for secure AI adoption; and collaborates with architects, engineers, operations teams, vendors, and executives to translate emerging technologies into practical cybersecurity solutions.

Own product and infrastructure security across fintech products and cloud environments. Lead threat modeling, architecture reviews, secure code reviews, vulnerability management, bug bounty operations, CI/CD security scanning, IAM and secrets management, and security standards. Partner directly with engineering leadership to identify and remediate critical vulnerabilities across backend services, APIs, frontends, Solana programs, and infrastructure.

Senior HR Business Partner supporting technical and business teams through organizational design, manager coaching, employee relations, performance and talent management, compensation, workforce planning, organizational change, and people program execution. The role uses workforce insights to advise leaders, manage employee matters, improve organizational effectiveness, and support healthy growth across a scaling technology company.