129 Platform Engineer jobs in Canada available for remote work from home. Apply for positions such as Senior Platform Engineer, Sr. Cloud Platform Engineer, Sr. Cloud Platform Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Own and manage the platform infrastructure, services, and internal tooling that power Scalar's products. This includes maintaining a TypeScript monorepo on GCP, managing IaC via Pulumi, and ensuring reliability and performance as the system scales.
Design, build, and operate scalable cloud-native infrastructure across Azure and GCP, focusing on landing zone automation and Kubernetes platforms. Manage secrets, hybrid networking, and CI/CD pipelines to drive business outcomes through cloud excellence.
Design, build, and operate scalable cloud-native infrastructure across Azure and GCP, focusing on landing zone automation and Kubernetes platforms. Manage CI/CD pipelines, secrets management via HashiCorp Vault, and hybrid network connectivity to ensure high availability and security.
The role focuses on building and evolving foundational platform systems, including identity access and core data models. It also involves optimizing infrastructure, improving CI/CD pipelines, and enhancing service reliability and observability.
Lead the end-to-end technical delivery of Apigee-centric API management strategies and architectures for enterprise clients. Design secure API lifecycles, automate deployment pipelines, and mentor junior engineers to ensure high-quality delivery.
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Lead large-scale cloud migration programs and architect enterprise API platforms, specifically focusing on Apigee X deployments. Own delivery outcomes across multiple workstreams while serving as a technical advisor to senior customer stakeholders.
Lead the end-to-end technical delivery of Apigee-centric API management strategies and architectures for enterprise clients. Design secure API lifecycles, automate deployment pipelines, and mentor junior engineers to ensure high-quality delivery.
Lead large-scale cloud migration programs and architect enterprise API platforms using Apigee X. Own delivery outcomes across multiple workstreams, coordinating engineers and advising senior customer stakeholders on technical strategy.
Design, build, and maintain enterprise software applications and cloud-native infrastructure on AWS. Collaborate with AI engineers to integrate LLMs and improve internal developer tools and CI/CD pipelines.
Design and evolve Azure and AWS cloud architecture while managing Kubernetes clusters and Infrastructure as Code. Focus on improving platform reliability, security, and developer enablement through automation and observability.
Design and manage scalable AWS multi-account architectures and CI/CD pipelines to support AI and machine learning workloads. Collaborate with the AI Innovation Group to operationalize models and implement comprehensive observability and security controls.
Design, build, and operate the production AI runtime platform to power AI-first features. Ensure AI systems are scalable, secure, and reliable through observability, monitoring, and optimized deployment pipelines.
Design, build, and operate the production AI runtime platform to power AI-first features. Ensure the system is scalable, secure, and reliable through observability, monitoring, and optimized performance.
Build and maintain enterprise software applications while collaborating with AI engineers to utilize LLM APIs. You will lead architecture decisions, improve CI/CD pipelines, and mentor junior team members to enhance overall team efficiency.
Lead a small team of engineers to architect and deliver secure, scalable, AI-native platform solutions and CI/CD pipelines. Own the technical scope of workstreams, managing infrastructure as code and implementing observability and developer tooling.
Design and optimize scalable infrastructure for GenAI and LLM workloads across multi-GPU environments. Collaborate with cross-functional teams to deploy models and manage compute-intensive jobs using Slurm and Kubernetes.
This role involves leading technical decisions for infrastructure-as-code, CI/CD pipelines, and platform architecture to ensure long-term scalability. Responsibilities also include driving system reliability and performance, developing internal tooling, and participating in an on-call rotation to maintain operational health.
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The engineer will be responsible for designing, building, and maintaining the cloud infrastructure and developer platform that powers the company's AI systems, including owning CI/CD pipelines and deployment automation. A key mission involves building and operating observability, monitoring, and alerting systems while improving the developer experience across local development, testing, and debugging.
The Senior Client Platform Engineer is responsible for providing technical leadership and hands-on development for client platforms supporting High 5 Casino and Lucky Bits Vegas. This includes translating product requirements into scalable implementations, ensuring architectural consistency, and overseeing code quality across multiple systems.
The Forward Deployed Engineer will embed within customer environments to modernize data pipelines and deploy production-grade OpenAI agentic workflows. They are responsible for architecting AI solutions, managing LLMOps, and training client teams on enterprise AI governance and best practices.
The Senior DevOps Engineer will own production reliability during APAC hours, including incident management and cross-region handoffs. They will also build and operate secure, scalable infrastructure using Kubernetes, Terraform, and GitOps workflows.
The Senior Software Engineer will design and deliver functionality across Salesforce Health and Sales Cloud stacks while managing the full development lifecycle. They will also serve as a subject matter expert, providing guidance and best practices to the engineering team.
You will design, build, and operate large-scale observability services while leading the enterprise-wide adoption of OpenTelemetry standards. The role involves developing high-performance backend services and collaborating with cross-functional teams to ensure reliable, secure, and cost-efficient telemetry pipelines.
You will architect and scale high-throughput telemetry pipelines while leading enterprise-wide adoption of OpenTelemetry. Additionally, you will design and operate core observability services and collaborate with SRE and platform teams to ensure system reliability.
You will architect, build, and maintain scalable backend infrastructure and data pipelines for targeting and CRM messaging platforms. Additionally, you will collaborate across teams to drive technical direction and ensure the reliability and performance of critical marketing systems.
The role focuses on improving developer productivity and infrastructure reliability while contributing to the evolution of an AI-native advertising marketplace. You will balance internal platform engineering tasks with direct product engineering to ship customer-facing features.
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You will design and build scalable data ingestion pipelines and backend services to support the organization's unified data platform. Additionally, you will implement monitoring, observability, and data governance practices to ensure high availability and reliability across all data assets.
You will own the technical strategy for multi-ecosystem scaling and lead the redesign of CVE remediation workflows to achieve full automation. Additionally, you will mentor staff engineers and set platform-wide technical direction for build and packaging pipelines.
Design and build scalable systems, shared libraries, and customer-facing platform components to support product development. Partner with engineering teams to define technical architecture, maintain high engineering standards, and improve developer experience.
You will design, operate, and scale the Kubernetes platform to support global financial infrastructure. This includes building automation, managing cluster operations, and participating in on-call rotations to ensure system reliability.
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