41 Systems Engineer jobs in Canada available for remote work from home. Apply for positions such as Building Systems Engineer, Distributed Systems Engineer (Data Platform) , Distributed Systems Engineer (Data Platform) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will work with the Building Systems Engineering and Customer Success teams to drive customer value and improve building systems data integration. Additionally, you will act as the voice of the customer to provide critical insights for the product roadmap and help iterate on AI-based technology.
You will build and maintain highly-available, scalable distributed services and data pipelines to power internal APIs and external applications. You will collaborate with machine learning engineers and security researchers to develop tools and infrastructure that support Internet-wide data collection and analysis.
You will build and maintain highly-available, scalable distributed services and data pipelines to support Internet-wide scanning and threat intelligence. You will collaborate with cross-functional teams to productionize prototypes and develop robust infrastructure for internal and external applications.
Lead an engineering team in the development and implementation of CBTC strategies for rail transit projects throughout the full project lifecycle. Coordinate with stakeholders, manage project deliverables, and provide technical oversight for design, testing, and commissioning activities.
Build and maintain highly-available, scalable, data-driven services and infrastructure for Internet-wide scanning and data ingestion. Collaborate with cross-functional teams to develop internal APIs, tools, and platforms that leverage massive datasets to provide actionable security insights.
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You will own core IT systems and infrastructure, focusing on automation, security, and scaling internal operations. You will manage the macOS fleet, identity governance, and lead AI enablement initiatives to improve company-wide productivity.
You will lead field safety initiatives, including incident response and the establishment of operational readiness frameworks for autonomous vehicle deployments. Additionally, you will collaborate with cross-functional teams to define safety protocols and interface with regulatory bodies regarding industry standards.
Design, build, and operate internal AI agent systems to support sales and marketing workflows. Collaborate with cross-functional teams to translate business needs into technical requirements and maintain reliable production AI services.
You will serve as the primary subject matter expert and administrator for the Genesys contact center platform, managing omnichannel routing and system health. Additionally, you will collaborate with cross-functional teams to design scalable technical solutions and integrate the platform with Salesforce and other third-party tools.
Develop and maintain system architectures using MBSE methodologies and SysML models while ensuring end-to-end requirements traceability. Support spacecraft commissioning and Launch and Early Orbit Phase (LEOP) activities while collaborating with multidisciplinary engineering teams.
You will build and manage a Canadian-based sovereign cloud on Google Cloud while contributing to globally distributed infrastructure using code-defined solutions. The role involves developing new services, managing enterprise infrastructure at scale, and collaborating with SRE and networking teams to ensure environment stability.
The IT Systems Engineer is responsible for managing the identity plane, focusing on Okta administration, SSO integrations, and lifecycle automation. They will also oversee the internal SaaS stack, Google Workspace, and ensure compliance with ISO 27001 and SOC 2 standards.
Manage and automate the identity plane, focusing on Okta, Google Workspace, and SaaS estate governance. Ensure compliance with ISO 27001 and SOC 2 through automated access controls and documented procedures.
Act as a technical expert during the sales process to design tailored data storage solutions that meet customer business outcomes. Lead technical evaluations, benchmarks, and architecture presentations to secure technical wins with prospective accounts.
Build and scale backend systems and AI-driven workflows to power core product functionality. Design low-latency orchestration layers and production-grade RAG retrieval systems while ensuring data isolation and reliability.
The Solutions Architect leads pre-sales activities by designing complex data management systems and delivering technical presentations to prospective clients. They are responsible for aligning Quantum products with customer business requirements and creating detailed architecture documents to secure technical buy-in.
The Junior Systems Engineer will be part of a multi-disciplinary team that designs, develops, and tests electronic systems for the Joint Support Ships program. Responsibilities include developing designs, analyzing issues, providing status updates, and collaborating with stakeholders.
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You will own the technical strategy and architecture for go-to-market systems while building AI-powered automated workflows to enhance sales productivity. You will lead cross-functional initiatives and mentor engineers to deliver scalable, reliable solutions that solve complex business problems.
You will define and build the security architecture for AI systems and the surrounding cloud platform, ensuring secure defaults and robust controls. This role involves hands-on engineering, adversarial testing, and embedding security practices directly into the development lifecycle.
You will operationalize and scale AI-powered control solutions for enterprise data center customers by configuring systems and creating facility models. Additionally, you will provide ongoing technical support, troubleshoot control systems, and collaborate with data science and product teams to define requirements.
The DevOps Engineer will design, deploy, and monitor automation services while streamlining business processes and systems. They are responsible for managing core business systems and coordinating release management activities to ensure reliable and scalable solutions.
You will design and own a cloud-native big data platform and ML infrastructure to handle high-throughput event streams and model production. You will drive the full data pipeline end-to-end while ensuring data quality, reliability, and business impact.
The Marine Systems Support Engineer serves as a technical authority for GE Vernova systems, bridging field operations with engineering design. Responsibilities include hands-on troubleshooting, managing system obsolescence, and developing engineering solutions for Royal Canadian Navy vessels.
The Marine Systems Support Engineer serves as a technical authority for GE Vernova systems, bridging field operations with engineering design. Responsibilities include hands-on troubleshooting, managing system obsolescence, and drafting engineering modifications for Royal Canadian Navy vessels.
Define and own the technical vision for AI-powered Go-To-Market systems, including both low-code automation and custom agentic AI pipelines. Lead architectural design for complex, enterprise-scale workflows while establishing standards and reference architectures for the engineering team.
Build and maintain the foundational components, tokens, and UI patterns that power Mercury's product. Develop a design system optimized for both human users and AI agents while mentoring others in AI fluency.
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Build and own backend services and serverless compute layers for an AI-native learning platform. Drive the development of distributed workflows, event-driven architectures, and production reliability at scale.
Design, develop, and maintain the integration between Geographic Information Systems (GIS) and Outage Management Systems (OMS) to support utility operations. Ensure accurate representation of electric utility assets and network behavior to support outage analysis and operational reliability.
Design and implement scalable, high-performance data pipelines to ingest and transform data from various sources. Build and maintain secure, tenant-aware APIs and implement observability and monitoring to ensure data reliability.
The role involves developing system requirements, integration and test plans, and leading technical reviews for marine navigation and bridge systems. The engineer will manage project scopes, schedules, and technical risks while overseeing customer acceptance events and sea trials.
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