Top Tech Jobs & Startup Jobs in Toronto

Leads the Landing Pages engineering team and product, overseeing architecture, development, platform scalability, APIs, integrations, hosting, reporting, and customer adoption. Partners with product and design to prioritize initiatives using usage data, while recruiting, coaching, and retaining engineers. Owns the team’s vision, goals, processes, and technical execution, contributing directly to code and key architectural decisions when needed.

Lead reliability engineering for Braze’s NGINX ingress fleets, Kubernetes infrastructure, Ruby on Rails monolith, and Go API services. Design scalable, highly available systems; develop automated scaling routines; define SLIs, SLOs, and error budgets; conduct capacity planning; and participate in PagerDuty on-call rotations. Drive incident response, root-cause analysis, blameless retrospectives, runbook improvements, and resilient architecture decisions with product engineering teams.

Lead cloud security direction across AWS, GCP, and self-managed Kubernetes. Define standards, reference architectures, IAM controls, threat-modeling practices, detections, incident-response playbooks, vulnerability-management workflows, and secure infrastructure-as-code and CI/CD practices. Serve as a senior incident responder and cloud-forensics lead, secure distributed systems and data stores, drive cross-functional initiatives, and mentor security and platform engineers as a senior individual contributor.

Protect enterprise users, assets, and locations by investigating threats and malware, implementing DLP and SIEM detections, securing SaaS and endpoints, hardening configurations, driving vulnerability remediation, automating alerts and reporting, participating in on-call incident response, and mentoring junior engineers.

Lead design and delivery of enterprise automation, integrations, and AI-driven workflows. Architect scalable integrations across SaaS platforms, build conversational self-service and agentic experiences, enable AI/LLM-based automation, and partner with security, infrastructure, and product teams to ensure resilient, maintainable enterprise platform solutions.

Join the Cloud Data Ingestion & Transformation team to design, build, and operate scalable data ingestion and transformation systems. Own end-to-end features (primarily back-end with front-end delivery), process very high data volumes, drive architectural decisions, and improve platform reliability and customer data integrations.

Lead and grow a BSA and TPM team to define and execute the CX technology strategy and roadmap for post-sales functions. Own vendor selection, platform implementations, lifecycle governance, AI adoption, integrations, data alignment, and cross-functional stakeholder engagement to drive operational efficiency and CX outcomes.