- 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 compoundRequirements- 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 CompetenciesDemonstrates expertise in scaling cloud-native backend systems, ensuring production reliability, and implementing performance engineering practices. Proficient in Python and JavaScript/TypeScript, with a solid 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 SystemsATS Optimization KeywordsHard Skills- Python- JavaScript- TypeScript- Event Streaming- Message Queues- Async Processing- Load Testing- Capacity Planning- Fault-Tolerant Design- Tenant IsolationSoft Skills- Mentorship- Leadership- CollaborationIndustry Keywords- SaaS- Data Platform- Observability- Incident Management- Scaling Risks- Technical DebtTools & Technologies- Kafka- ETL- API Platforms- Integration Platforms- AI/LLM-Driven Capabilities#J-18808-Ljbffr

📌 Ai-Driven Engineering Role At Big Viking Games (Toronto)
🏢 Alloy River
📍 Toronto