Cloud Engineer

Cloud Engineer Location: Remote in Toronto, CA or Remote in Canada Industry: AI, Cloud, IoT Employment Type: Full-Time A rapidly scaling innovator in industrial automation is seeking a skilled Cloud Engineer to join their engineering team. This high-impact position plays a pivotal role in building the infrastructure that powers edge AI applications for advanced video analytics and telemetry. Working on a next-generation platform that bridges real-time data ingestion and cloud-native services, this is a rare chance to help shape a cloud backend built for speed, scale, and intelligence. About the Role: This is a hands-on, architecture-driven engineering position responsible for the development of cloud microservices that manage edge device fleets, real-time telemetry, deployment orchestration, and customer-facing APIs. The successful candidate will work cross-functionally with DevOps, AI/ML, and embedded engineering teams to create a cohesive system designed for scale and reliability. This is not just another cloud engineering role—this is an opportunity to work on impactful infrastructure powering the future of edge-based computer vision and AI. Key Responsibilities: Design, build, and operate cloud-native backend services that support telemetry, fleet management, and edge configuration. Architect scalable ingestion pipelines for streaming video, metrics, and metadata from distributed edge environments. Ensure high availability and security with robust multi-tenant controls, role-based access, and secure integration frameworks. Work with Kubernetes and containerized environments to support seamless deployments and DevOps scalability. Collaborate with edge engineering teams to integrate cloud-side tuning parameters, monitoring hooks, and performance analytics. Participate in architecture discussions for disaster recovery, cost optimization, and cross-cloud resilience. Maintain internal and external APIs and SDKs for partner and developer enablement. Assist in operational excellence through automation, monitoring, and participation in on-call support rotations. What You Bring: 4+ years of experience in backend/cloud/platform engineering roles. Deep proficiency in at least one cloud provider (AWS, Azure, or GCP) and core service areas (IAM, compute, networking, and storage). Strong programming experience in backend languages such as Go, Python, or Java. Experience designing and deploying containerized applications using Kubernetes. Solid understanding of distributed systems concepts including resilience, scaling, and message-based architectures. Expertise in observability tooling—logs, metrics, and distributed tracing. Bonus Points For: Experience with streaming platforms (Kafka, Pub/Sub, Kinesis) for event-driven architectures. Background in ML or computer vision platforms (e.g., model deployment, feature stores, ML pipelines). Familiarity with industrial connectivity, OT systems, or IoT platform integration. The Culture: This is a collaborative, fast-paced startup culture where innovation and ownership are valued. The team thrives on solving complex problems and welcomes candidates who enjoy ambiguity, continuous learning, and working with cutting-edge cloud and AI technologies. Interested in transforming the future of intelligent edge infrastructure? Apply now to explore the impact you can make. About Blue Signal: Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS