Technology

Location:
Calgary, AB (In-Office, Hybrid) or Remote (Canada) Employment Type: Full-Time Ziing was founded in 2018 by supply chain and technology experts. We saw an chance to be the first logistics company that didn’t just integrate digital technology into our operations—we founded our entire business upon it. Harnessing the power of data, integrated systems, clean technology, and AI-driven automation, we help our clients deliver on their promise of excellent customer service. At Ziing , we are setting new standards with our transformative enterprise platform that builds and integrates web, iOS, and Android applications. Our approach combines the forefront of modern technologies, including generative AI and comprehensive Microsoft ecosystems, within a culture that merges the agility of a Startup with the reliability of Enterprise frameworks. We’re committed to innovation, smart risk-taking, and impactful technology solutions. We are looking for a Staff Platform Reliability Engineer to own reliability engineering for the Ziing.ai platform. This is a senior individual contributor role for an engineer who can build reliable systems, not just operate them. You will work across cloud infrastructure, backend services, APIs, integrations, data pipelines, event streams, observability, incident response, deployment reliability, performance, and platform automation. ai powers high-stakes logistics workflows where reliability directly affects delivery performance, customer trust, driver productivity, operational control, SLA adherence, and financial accuracy. The platform coordinates routing, dispatch, driver execution, real-time visibility, compliance workflows, partner handoffs, analytics, and reconciliation across complex delivery networks.



You will help ensure those systems are observable, scalable, resilient, secure, and easy for engineering teams to operate. You will participate in on-call, lead reliability improvements, reduce operational toil, build automation, define SLOs, strengthen incident response, and partner with engineering and product teams to make reliability part of how Ziing.ai is designed and shipped. It is a high-impact IC role for someone who can lead through technical depth, ownership, influence, and execution. Own reliability engineering for critical Ziing.ai platform services across routing, dispatch, driver workflows, visibility, compliance, integrations, analytics, and financial workflows. ai to run safely and predictably in production. Partner with engineering teams to identify reliability risks early in design, implementation, deployment, and operation. Define reliability patterns for services, APIs, queues, databases, event pipelines, mobile backend workflows, and third-party integrations. Support production readiness reviews for major platform changes, customer-impacting launches, and high-risk integrations. Help ensure Ziing.ai can operate reliably in regulated, audit-ready, and high-expectation delivery environments. ai platform availability, data correctness, delivery execution, integrations, or customer-facing workflows. Automate routine checks for service health, integration health, data freshness, queue backlogs, failed jobs,



latency spikes, and abnormal workflow behavior. Explore practical AI-assisted reliability workflows, including incident summarization, anomaly detection, log analysis, alert correlation, runbook recommendations, and change-impact analysis. Partner with platform and backend engineering to improve cloud architecture, infrastructure as code, deployment pipelines, environment consistency, and release safety. Improve deployment reliability through progressive delivery, health checks, automated rollback, smoke tests, canary releases, and release observability. Build observability across logs, metrics, traces, events, queues, APIs, mobile backend services, integrations, and data pipelines. Participate in on-call rotations for production services Integration, Data, and Financial Workflow Reliability Own reliability practices for APIs, customer integrations, partner integrations, order ingestion, status events, proof-of-delivery flows, billing events, reconciliation workflows, and downstream analytics. Build observability and alerts for integration failures, schema mismatches, delayed events, duplicate events, missing status updates, failed webhooks, and data-quality anomalies. Build automated checks that detect abnormal delivery lifecycle patterns before they create customer or operational impact. Support safe recovery procedures for integration failures, event replay, data correction, and reconciliation exceptions. Cross-Functional Technical Leadership Work closely with engineering, product, QA, operations, customer success, support, data, security, and leadership. Influence architecture and implementation choices that affect reliability, scalability, performance, observability, and op

📌 Staff Platform Reliability Engineer (Canada)
🏢 Ziing Group
📍 Canada