Top Cyber Security Jobs in Toronto

Provide information security expertise for government IT projects: perform on‑premise and cloud security assessments, identify risks and vulnerabilities, conduct privacy impact assessments, define security requirements, develop enterprise security documentation, support vulnerability testing and disaster recovery planning, and advise project teams on security and compliance aligned with NIST.

Own and scale Mozilla's web bug bounty program; triage and validate reports; drive end-to-end remediation with engineering teams; perform targeted code reviews (JavaScript, Python); collaborate with SIRT on incidents and post-incident reviews; build tooling and metrics to improve triage, automation, and program insights.

Own and mature the enterprise security program: manage identity/SSO, EDR, MDM, and SaaS security; secure cloud and developer stacks (GitHub, AWS, GCP); run vulnerability management, backup testing, and incident response; ensure endpoint lifecycle governance and maintain compliance with ISO 27001 and SOC 2.

First dedicated security hire responsible for building and operating security foundations across infrastructure and software. Own vulnerability management and incident response, implement IAM, network segmentation, secrets management, and secure CI/CD patterns, support compliance (SOC 2/ISO 27001), manage vendors, and drive security adoption across engineering.

Design and implement product-level authentication, authorization, multi-tenant isolation, and privacy-preserving data lifecycles. Ship security-sensitive changes end-to-end, own application and API security, threat modeling, telemetry for security events, and integrate conservative partner security controls.

Lead architecture and evolution of enterprise, data center, and cloud networks for hyperscale AI; design secure, high-performance fabrics (spine/leaf, RDMA); build AI-agent review frameworks; implement segmented zero-trust network designs; set resiliency, observability, and capacity standards; mentor global engineers and guide cross-functional initiatives.

Design, build, and operate firewall, segmentation, and zero-trust controls across data center, corporate, and cloud networks. Implement infrastructure-as-code for policy and CI/CD deployment, manage lifecycle and rule hygiene, build network detection capabilities, operate VPN/remote access patterns, and document architecture and runbooks while partnering with Network Engineering and Security Operations.

Join IT & Security to secure and scale enterprise IT, cloud, network, and infrastructure; build automation and tooling; support detection, response, and vulnerability management; improve identity, endpoint, and systems security; and partner cross-functionally to develop processes that enable secure, reliable, and scalable AI workloads.

Build and maintain customer-facing AI cloud frontends (inference, training, admin consoles, and APIs). Design responsive, high-reliability interfaces to handle high traffic, using modern web frameworks and best practices. Collaborate on architecture, ensure production-grade quality, and thrive in ambiguous, fast-changing environments while sharing knowledge and communicating clearly.

Own and execute end-to-end collaboration-platform integrations for acquisitions: scope and migrate Google Workspace, Slack, Zoom, mailboxes, channels, and domains. Maintain platform governance, email/domain security, DLP, archiving, eDiscovery/legal holds, and incident response. Build repeatable playbooks, automation, and tooling; coordinate cross-functionally with Legal, Compliance, IT, Security, and Corporate Development.

Design and verify secure architectures across infrastructure, applications, blockchain, Rust, and AI projects. Perform in-depth security assessments and audits, recommend mitigations, and embed with engineering teams to improve security posture and operational practices.

Lead and manage SOC 1/SOC 2 examinations and SOX 404 IT control activities; assess ITGCs/ITACs, perform gap and impact assessments, drive remediation, collect auditor-ready evidence, and partner cross-functionally to design scalable controls for cloud and hybrid environments.

Join a security research team to develop analysis tools, review sandbox/VM and network modules, discover vulnerabilities and create PoC exploits for distributed systems, and publish findings. Research areas include malware analysis, vulnerability detection, network anomaly detection, mobile app analysis, reverse engineering, and fraud detection.

Lead ownership of an AI-native, real-time yard operating platform end-to-end. Provide technical vision, architecture ownership, and hands-on engineering leadership to scale systems integrating cameras, sensors, AI streams, TMS/WMS, and operator workflows. Drive product-first thinking, rigorous engineering practices, and measurable improvements to how teams write, review, and ship code.

Conduct outbound prospecting via calls, email, and LinkedIn to identify and qualify leads, uncover customer needs, suggest solutions, and hit quota. Partner with sales teams, manage territory activity, and become a product subject-matter expert to drive pipeline growth.

Sell Abnormal AI security SaaS to enterprise accounts in a defined Toronto territory: prospect, build pipeline, manage deals from discovery to close, ensure renewals/expansions with Customer Success, maintain sales data in systems, and share customer insights with product and internal teams.

Lead integrated financial modeling, scenario analysis, and strategic transaction evaluation to guide investments, financings, acquisitions, and long-range planning. Partner with executives, accounting, and operations to improve forecasting, capital-structure analysis, and investor/board materials. Drive faster, more accurate decision-support and scalable finance infrastructure in a high-growth payments business.

Manage a portfolio of enterprise customers across North America, driving renewals, retention, and account growth. Build executive relationships, identify upsell/cross-sell opportunities, lead commercial negotiations, and collaborate with cross-functional teams to ensure customer success and predictable revenue. Maintain accurate forecasts in Salesforce and meet renewal and expansion targets.

Seeking Data Platform Engineers to design, build, and manage scalable data pipelines and analytic query engines while ensuring data integrity and performance optimization.

As a Backend Software Engineer, you'll develop critical backend systems focusing on APIs, data processing, and infrastructure while ensuring high-quality service delivery and robust architecture.

Lead development of backend systems and integrations to ingest and process large-scale data, design secure multi-tenant SaaS architectures, own APIs and platform work, mentor engineers, author technical proposals, and troubleshoot production issues to minimize downtime.

Conduct research and design AI data-security and privacy architectures for endpoint devices. Prototype and build privacy-preserving defenses, analyze emerging attack vectors and regulations, and collaborate with global labs and product teams to transition research into production-grade endpoint security solutions.

The Software Solution Architect will design and oversee software development initiatives, ensure alignment with company goals, and provide technical guidance to teams.

Build and maintain production React/Redux front-ends and Java Spring Boot back-ends; use agentic AI tools across the SDLC for specs, coding, testing, reviews, and debugging; create APIs, integrations, automated tests, ensure production readiness, observability, security, and take ownership through release and production verification.

Lead onboarding, training, and adoption for customers of a cybersecurity SaaS product. Act as trusted technical advisor, resolve issues, monitor usage, drive retention and upsell, and collaborate with Product, Engineering, and Sales to improve customer outcomes.