Top Tech Jobs & Startup Jobs in Toronto

Provides customer-facing technical support for Snowflake and cloud environments, owning cases from triage through resolution. Troubleshoots SQL, logs, APIs, data warehousing, MLOps pipelines, model performance, and infrastructure issues using AI-assisted tools, scripting, and automation. Collaborates with engineering and product teams, documents solutions, reports bugs, and participates in on-call, weekend, and holiday rotations. Requires fluent Japanese and English, strong communication, and familiarity with AI, cloud platforms, and machine learning technologies.

Leads a global escalation management team supporting critical enterprise customers in a 24/7 SaaS environment. Responsibilities include hiring and developing staff, managing high-impact technical escalations, reviewing case quality, improving processes and automation, defining performance metrics, coordinating with engineering and customer-facing teams, and delivering root cause analyses and executive updates. The role also drives strategic operational improvements, customer satisfaction, and consistent resolution outcomes across products and teams.

Generate qualified pipeline by outbound prospecting and nurturing inbound leads. Research accounts, run targeted calling, email and social campaigns, set discovery meetings, collaborate with sales and cross-functional teams, and meet/exceed metrics and quotas in a fast-paced SaaS environment.

Build and ship the App Runtime platform enabling rapid web app development and deployment. Work across frontend and backend (React, Go, Python, Java), author technical/design specs, partner with developer customers, improve quality/reliability, mentor engineers, and coordinate with AI, container platform, and security teams.

As a Software Engineer for Native Apps, you will drive initiatives across product areas, collaborate with teams, and build scalable features. Deep backend experience is required.

Design and deliver full-stack features across notebook services, container runtimes, and UI (Go/Python backend, TypeScript/React frontend). Own medium-to-large projects end-to-end, improve runtime management, reproducibility, security/compliance, and observability, ensure reliability in regulated or air-gapped environments, participate in on-call rotation, and mentor junior engineers.

Lead security incident investigations, serve as Incident Commander, and improve response capabilities through automation and AI agents. Build Python orchestration pipelines, detections, threat signatures, and security guardrails. Investigate modern and AI-driven attacks across cloud, endpoints, identity, SaaS, and containers; perform malware analysis; collaborate with Legal, HR, Cloud, Data, and Product Security; and participate in on-call rotations.