Own technical direction and architecture evolution of a live, revenue-generating platform Scale throughput and reliability while customers onboard, including zero-downtime changes to running systems Harden the platform: tenant isolation, rate limiting, security, data integrity Establish observability, SLOs, and incident practices as the customer base grows Lead performance and capacity work ahead of demand, not behind it Raise engineering standards through design reviews and mentorship Identify and retire scaling risks and technical debt before they compound 10+ years building and operating cloud-native backend or platform systems ~ Owned the scaling of a production SaaS or data platform through rapid customer growth: hardening, re-architecture under load, and maturing an early product to enterprise grade ~ Solid performance engineering: profiling, load testing, horizontal scaling, capacity planning ~ Multi-tenant SaaS experience, including tenant isolation and noisy-neighbor problems ~ Proficiency in Python and JavaScript/TypeScript (Next.js)



~ Built or scaled an integration platform, ETL/data pipeline product, or API platform (connectors, transformation pipelines, webhooks) (Nice to Have) ~ Supply chain or logistics systems exposure (WMS, OMS, TMS, EDI integrations) (Nice to Have) ~ AI-assisted engineering workflows;

Experience shipping AI/LLM-driven capabilities in production (rag, generation pipeline, agentic workflows) (Nice to Have) Demonstrates expertise in scaling cloud-native backend systems, ensuring production reliability, and implementing performance engineering practices. Proficient in Python and JavaScript/TypeScript, with a robust focus on multi-tenant SaaS architecture and observability.

Performance

Engineering ATS Optimization Keywords Python JavaScript TypeScript Load Testing Capacity Planning Tenant Isolation Data Platform Scaling Risks Technical Debt

📌 Engineering Manager, Web Platform Toronto
🏢 Jobtailor
📍 Toronto