113 Platform Engineer jobs in Canada available for remote work from home. Apply for positions such as EverPro - Software Engineer, Platform (Remote), MLOps / ML Platform Engineer, Software Engineer, Platform - Calgary, Canada and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
Trusted by 200,000+ remote workers worldwide.
The Software Engineer will support the Invoice Simple platform by developing new features, maintaining existing products, and managing CI/CD pipelines. They will also collaborate with application teams to improve service architecture, system reliability, and operational readiness.
Design and operate scalable ML infrastructure, including data pipelines, model training, and production inference systems. Collaborate with research and engineering teams to ensure reliable, cost-effective, and secure deployment of machine learning models.
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.
You will design, build, and maintain Azure and AWS platforms while collaborating with architects and client teams. Additionally, you will lead large-scale application migration projects and develop infrastructure as code using automation tools.
The engineer will manage the health and evolution of the enterprise Microsoft 365 environment, including identity and security integrations. They will also lead the build-out and governance of the Power Platform ecosystem to support automation and business innovation.
We watch for new "Platform Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
Design, develop, and maintain robust backend services and APIs, including payment, subscription, and authentication systems. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
The Cloud Platform Engineer will deploy, manage, and maintain secure VMware Cloud Foundation environments with GPU integration across core and edge sites. They will also operate platform-level services including DBaaS, secrets management, and centralized logging while ensuring compliance with Zero Trust principles.
The Platform team is responsible for designing, developing, and maintaining robust backend services including APIs, payments, and subscription systems. You will collaborate with cross-functional teams to align backend architecture with product strategy and optimize performance for enterprise clients.
The Platform Engineer will build and maintain monitoring, observability, and infrastructure automation to ensure cloud platform reliability. Responsibilities include managing alert routing, deploying infrastructure-as-code, and acting as a first responder for system incidents.
The role involves designing, developing, and maintaining robust backend APIs including payment, subscription, and authentication services. You will also collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
The Staff Software Engineer will architect scalable systems and design developer tooling to improve deployment safety and reliability. They will also drive observability excellence, mentor engineering teams, and guide incident response to ensure high system quality.
Design and manage large-scale cloud-native infrastructure on AWS, including networking components like VPCs and Transit Gateways. Configure and scale Kubernetes clusters while implementing observability solutions and automating deployments using Terraform.
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.
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.
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.
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.
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.
We watch for new "Platform Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
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.
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, 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.
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.
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.
We watch for new "Platform Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
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.
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 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.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Everything you need to know about remote work
