129 Platform Engineer jobs in Canada available for remote work from home. Apply for positions such as Platform Engineer, Software Engineer, Platform - Ottawa, Canada, Staff Engineer (Platform) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Platform Engineer designs, implements, and supports enterprise cloud platforms and integrations to deliver secure and scalable solutions. This includes providing strategic consultation to business customers and leading system architecture improvements.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise integration needs.
You will design scalable, secure service architectures and contribute to the long-term platform vision while building backend services. Additionally, you will act as a technical mentor to peers and collaborate with cross-functional teams to deliver high-impact platform solutions.
Design and implement scalable infrastructure for LLM and GenAI workloads across multi-GPU environments. Collaborate with cross-functional teams to deploy models and build robust GenAI pipelines for production-grade applications.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise integration needs.
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The role involves supporting, maintaining, and optimizing large-scale production data platforms on Google Cloud. Responsibilities include troubleshooting data pipelines, managing Airflow workflows, and ensuring platform reliability and performance.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
The Staff Platform Engineer will define and lead platform engineering strategy across complex, multi-environment cloud systems. They will also oversee infrastructure architecture, drive DevSecOps practices, and lead the design of AI/ML platform infrastructure.
Design and operate scalable ML infrastructure, including data pipelines, training workflows, and production model serving. Ensure system reliability, observability, and security while collaborating with research scientists to streamline the deployment process.
You will build and maintain a greenfield enterprise data platform using modern ELT ingestion and layered transformation pipelines. The role involves optimizing cloud platform costs and empowering business stakeholders with actionable, story-driven data insights.
The engineer will manage the health and evolution of the enterprise M365 environment while leading the governance and build-out of the Power Platform ecosystem. They are responsible for ensuring platform security, reliability, and compliance while enabling automation and AI-enabled experiences across the organization.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
Design, build, and improve backend and platform systems to support core product scalability and reliability. Collaborate with global teams to define service boundaries, interfaces, and regional readiness for market expansion.
Design and build core services and platform components to accelerate product development across the engineering organization. Oversee DevOps initiatives, manage infrastructure, and improve developer experience through optimized backend systems.
You will build tooling and workflows for cloud-native deployment environments and improve ephemeral environments to ensure consistency across the software lifecycle. Additionally, you will contribute to deployment guidance and partner with teams to align application, infrastructure, and platform requirements.
You will build and maintain agentic workflow components on the Duo Agent Platform and contribute to the platform requirements knowledge base. Additionally, you will develop integration surfaces to help feature teams engage with platform readiness tools and collaborate with cross-functional teams to translate expertise into structured requirements.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
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The Azure Platform Engineer is responsible for designing, deploying, and operating production-grade Azure Kubernetes Service (AKS) clusters. This role involves managing cluster architecture, CI/CD pipelines, observability, and incident response to ensure high reliability and performance.
This role is responsible for the delivery and creation of code artifacts using the Microsoft Technology Stack and supporting DevOps processes. The engineer will design and maintain infrastructure, optimize database performance, and lead incident response efforts.
Design, implement, and maintain scalable cloud infrastructure on Microsoft Azure using Infrastructure as Code principles. Develop and optimize CI/CD pipelines to ensure reliable software delivery across development and production environments.
Design, build, and maintain backend APIs and services to scale an AI-native workflow platform. Lead complex backend projects and architect systems that other engineering teams build upon.
Build and evolve systems that provision, update, secure, and observe isolated agent execution environments. Design reusable abstractions around queues, locks, and background job processing for product engineers.
The engineer will build and operate large-scale distributed systems for a major social media platform, focusing on machine learning workloads. Responsibilities include preparing design specifications, conducting code reviews, and optimizing metadata models.
Build and maintain shared AI platforms, including CI/CD pipelines, automated testing, and environment provisioning. Establish technical and security standards while creating reusable building blocks to accelerate the development of AI pods.
Build infrastructure and software for training, deploying, and scaling machine learning models and optimization algorithms within supply chain applications. Translate real-world supply chain use cases into mathematical models and lead the design of ML systems.
The role focuses on owning and evolving the Azure cloud platform to ensure reliability, security, and scalability for a global 24/7 SaaS environment. Key duties include managing CI/CD pipelines, implementing Infrastructure-as-Code, and optimizing cloud performance and costs.
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The role involves contributing to the Platform Engineering team by managing service delivery, infrastructure, and CI/CD pipelines. You will be responsible for improving developer velocity, hardening reliability, and creating technical designs for cost efficiency and security.
Design and maintain scalable batch and streaming data pipelines using AWS-native services to power a global workforce management ecosystem. Develop analytical data models and optimize data warehouse performance to support reporting and business intelligence.
Build backend services and APIs to connect business applications with product services and create reusable integration patterns. Develop and productionize AI-enabled workflows with a focus on reliability, observability, and auditability.
Build and maintain internal developer platforms and AI-first automation tooling to improve DORA metrics. Manage cloud infrastructure across AWS and Kubernetes while participating in an on-call rotation for production reliability.
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