Top Cyber Security Jobs in Vancouver

Leads cloud security architecture and implementation, focusing on data privacy, GDPR compliance, Kubernetes security, mTLS, RBAC, zero-trust networking, audit logging, threat modeling, and vulnerability assessments. Collaborates across teams, mentors junior engineers, documents security practices, monitors industry trends, and drives resilient, compliant cloud infrastructure.

Lead cybersecurity risk strategy for frontier AI auditing. Design secure audit systems and privacy-enhancing technologies, evaluate AI-related cybersecurity risks, develop code and data tools, and strengthen internal IT infrastructure. Responsibilities include access controls, data protection, device management, incident response readiness, and communicating threat models, cryptography, and risk to technical and non-technical stakeholders.

Own post-sale success for enterprise customers using SAFE’s CTEM platform. Serve as a trusted cyber-risk advisor to CISOs, CIOs, risk, compliance, and security operations stakeholders; align success goals, drive value realization and retention metrics, support platform adoption, coordinate deployment issues, document best practices, and communicate customer feedback to Product Management.

Designs and develops advanced anti-cheat and game security systems for Call of Duty. Responsibilities include strengthening protection frameworks, creating cheat detection mechanisms, optimizing and debugging complex C++ systems, analyzing compiled code, and collaborating across studios. The role requires expertise in large-scale software development, algorithms, data structures, CI/CD, automation, performance tuning, and low-level systems, with preferred experience in game engines, reverse engineering, DevOps, cryptography, and anti-cheat technology.

Talent-network posting to collect engineers for future openings across full-stack, backend (Golang), frontend (React), mobile (iOS/Android/React Native), blockchain, AI, DevOps, security, data, and QA. Applicants should state domain, core technologies, location/time zone, and share links to profiles or projects. Fully remote; must have right to work in the country you are based.

Lead and coordinate pre-sales activities to develop and present cross-practice technical solutions. Support consulting, advisory, and architecture teams, build customer and partner relationships, and deliver demos, proofs of concept, and compelling technical presentations to drive profitable deals.

Lead product strategy and roadmap for anti-cheat and game security across Call of Duty titles. Define detection, prevention, and enforcement capabilities, partner with engineering, data science, threat intel, and ops, use telemetry and experimentation to improve systems, and drive incident response and cross-functional alignment.

Manage Aritzia’s integrated cybersecurity roadmap, coordinating timelines, dependencies, governance, vendor deliverables, and cross-functional engineering execution. Translate architectural priorities into release plans, resolve blockers, facilitate governance forums, oversee vendor SOWs and QBRs, and drive departmental operating rituals. The role also tracks remediation progress, supports incident response and Blue Team exercises, administers Jira-based work management, and uses SQL and APIs to validate mitigation status and produce risk metrics.

Lead security across applications, services, infrastructure, and developer workflows. Identify, assess, and mitigate risks; run secure code reviews, threat modeling, and architecture discussions; build automation and tooling to prevent issues; harden authentication and access control; investigate incidents and manage disclosures; partner with engineering teams to design secure-by-default APIs and deployments.

Own quality engineering for high-throughput payment systems by architecting automated regression, performance, stress, and load testing. Build emulators for external payment systems, integrate quality gates into CI/CD pipelines, validate microservices, event-driven architectures, and databases, and use Prometheus and Grafana for observability. Apply AI-assisted testing, synthetic data generation, and edge-case analysis while mentoring engineers and preventing incidents through telemetry-driven testing and post-mortems.

Own quality engineering for high-throughput payment systems by designing automated regression suites, performance and load tests, quality gates, external-system emulators, observability-driven test environments, and AI-assisted testing workflows. Partner with feature teams and product leaders to improve reliability, scalability, security, and transactional accuracy. Mentor engineers, support incident prevention, and embed automated validation throughout the software development lifecycle.

Design secure, scalable payment infrastructure solutions for prospective and existing customers. Lead technical discovery, map complex payment flows, create architectures, demos, proposals, proofs of concept, and implementation handoffs. Advise on tokenization, PCI scope reduction, processor connectivity, payment portability, resiliency, and compliance. Partner with Sales, Account Management, Product, Engineering, and customer technical teams, provide launch oversight, influence product strategy, and develop reusable integration assets and reference architectures.

Lead platform engineering for high-scale, multi-region AWS payment infrastructure. Architect immutable, highly available, self-healing systems; automate infrastructure through Terraform, GitOps, CI/CD, and Kubernetes; establish observability with Prometheus, Grafana, and OpenTelemetry; own incident management and resiliency improvements; design private connectivity; and mentor engineers while driving organization-wide platform standards.

Own security for cloud and ML infrastructure, including tenant isolation, GPU cluster security, model protection, vulnerability management, network segmentation, monitoring, access governance, and credential management. Lead infrastructure security projects and establish technical standards and guardrails in partnership with Security, DevOps, Engineering, IT, and ML teams. The role also supports incident response, CSPM, sandboxing, container isolation, and SOC 2 readiness.

Sell Retell AI’s voice AI platform to large enterprises by owning full sales cycles, designing pilots, building quantified business cases, navigating procurement/security, and driving production and expansion across multi-stakeholder buying committees.

Secure Temporal’s development pipeline, product, and customer execution environments. Partner with engineering teams on secure architecture, threat modeling, risk assessments, code and software supply-chain security, vulnerability triage, Kubernetes hardening, multi-tenant isolation, and responsible AI security. Participate in on-call rotations and help establish actionable security policies and practices across the organization.

Lead the architecture, scaling, reliability, and security of multi-region AWS infrastructure supporting high-throughput payment systems. Build immutable, self-healing environments with Terraform, Kubernetes, GitOps, CI/CD, and automated resiliency. Develop observability using Prometheus, Grafana, and OpenTelemetry; manage incidents and post-mortems; improve engineering velocity through Golden Paths and platform enablement; and mentor engineering teams on reliable infrastructure practices.

Design and secure enterprise AI platform foundations for mission-critical transportation and operational technology environments. Responsibilities include threat modeling, tenant isolation, identity and authorization architecture, secure CI/CD, compliance-by-design, and protection of systems executing untrusted code, tools, or agent actions. The role partners with client engineering, product, security, and business stakeholders to provide pragmatic guidance and enable reliable, compliant delivery.

Own and improve corporate security across identity and access management, endpoint protection, SaaS applications, Zero Trust, automation, detection, and incident response. Implement Entra ID controls, SSO, SCIM, MFA, RBAC, JML workflows, Intune policies, EDR, and security baselines. Automate security processes with Python or JavaScript, investigate alerts, remediate incidents, and partner with IT, Security, Engineering, and business teams in a fast-moving startup environment.

The role involves conducting research on AI security, designing LLM approaches for malware classification, and building scalable data pipelines.

Provide hands-on technical support for payment tokenization integrations by debugging network, API, infrastructure, and downstream gateway issues. Own customer onboarding, escalations, incident and maintenance communications, status page updates, and cross-team coordination. Lead customer integrations from kickoff through go-live, create documentation and training, meet SLAs, and serve as the primary Support decision-maker during PT business hours. Participate in an every-third-weekend on-call rotation.

The Enterprise Customer Success Manager at Canonical is responsible for onboarding customers, managing relationships, identifying growth opportunities, and collaborating with cross-functional teams to enhance customer satisfaction.

Lead AppSec efforts across product, platform, and AI features by owning secure SDLC, performing threat modeling and deep code reviews, driving vulnerability management and remediation, building AppSec tooling and automations (including AI-assisted workflows), and enabling engineering teams with secure design guidance and training.

Leads VGS’s strategic partnerships across payments, commerce technology, card networks, cloud providers, AI platforms, wallets, and infrastructure partners. Responsibilities include managing a partnerships team, developing ecosystem and product strategies, negotiating complex commercial and technical agreements, coordinating cross-functional launches, building executive relationships, and translating market insights into product roadmap and growth opportunities. Requires deep payments ecosystem knowledge, strategic partnership experience, and the ability to connect technical capabilities with partner needs.

Design, build, and scale resilient distributed payment systems handling 1,000+ transactions per second. Collaborate with Product, Revenue Operations, Cloud Platform, and Security teams to shape product requirements and roadmaps. Lead AI-augmented software delivery, code reviews, testing, observability, performance optimization, incident response, on-call rotations, and root cause analysis while maintaining strict security, reliability, and low-latency standards.