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
Solid 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 CompetenciesDemonstrates 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 KeywordsHard 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
#J-18808-Ljbffr

📌 Principal Engineer (Winnipeg)
🏢 Jobtailor
📍 Winnipeg