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Principal EngineerJobtailor • Toronto, ON, Canada
Principal Engineer

Principal Engineer

Jobtailor • Toronto, ON, Canada
12 days ago
Job type
  • Full-time
Job description
  • 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
  • Partner with Product to balance platform investment against feature delivery
  • Identify and retire scaling risks and technical debt before they compound

Requirements

  • 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
  • Deep hands-on experience with high-throughput distributed systems: event streaming or message queues, async processing, idempotency, retries, backpressure
  • Strong performance engineering: profiling, load testing, horizontal scaling, capacity planning
  • Production reliability ownership: observability, SLOs, incident management, fault-tolerant design
  • Multi-tenant SaaS experience, including tenant isolation and noisy-neighbor problems
  • Proficiency in Python and JavaScript/TypeScript (Next.js)
  • Hands-on daily coder with founder-level ownership; comfortable in low-process, high-ambiguity environments
  • Built or scaled an integration platform, ETL/data pipeline product, or API platform (connectors, transformation pipelines, webhooks) (Nice to Have)
  • Kafka or similar streaming infrastructure at scale (Nice to Have)
  • Supply chain or logistics systems exposure (WMS, OMS, TMS, EDI integrations) (Nice to Have)
  • AI-assisted engineering workflows; AI is deeply embedded in how we build (Nice to Have)
  • Experience shipping AI/LLM-driven capabilities in production (rag, generation pipeline, agentic workflows) (Nice to Have)

Core Competencies

Demonstrates expertise in scaling cloud-native backend systems, ensuring production reliability, and implementing performance engineering practices. Proficient in Python and JavaScript/TypeScript, with a strong focus on multi-tenant SaaS architecture and observability.

Highest-signal resume keywords

  • Cloud-Native Backend Systems
  • Performance Engineering
  • Production Reliability Ownership
  • Multi-Tenant SaaS Experience
  • High-Throughput Distributed Systems

ATS Optimization Keywords

Hard Skills

  • Python
  • JavaScript
  • TypeScript
  • Event Streaming
  • Message Queues
  • Async Processing
  • Load Testing
  • Capacity Planning
  • Fault-Tolerant Design
  • Tenant Isolation

Soft Skills

  • Mentorship
  • Leadership
  • Collaboration

Industry Keywords

  • SaaS
  • Data Platform
  • Observability
  • Incident Management
  • Scaling Risks
  • Technical Debt

Tools & Technologies

  • Kafka
  • ETL
  • API Platforms
  • Integration Platforms
  • AI/LLM-Driven Capabilities
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Principal Engineer • Toronto, ON, Canada

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