129 Platform Engineer jobs in Canada available for remote work from home. Apply for positions such as Staff Software Engineer - Data Platform, Senior Full Stack Engineer, Client Platform, Senior Software Engineer, AI Platform (US - Remote or Calgary) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Staff Software Engineer will lead the Data Platform team to architect and enhance services for data ingestion, curation, and retention. They will also partner cross-functionally to surface data insights within the product and build infrastructure for machine learning and LLM applications.
You will design and evolve GraphQL schemas for a federated graph while building and scaling front-end applications and shared libraries. Additionally, you will partner with product teams to optimize performance, maintain observability standards, and improve internal tooling within a large monorepo.
You will own the core runtime surfaces of the AI platform, including agent loops, tool execution, and memory management. Additionally, you will collaborate with product teams to integrate domain content and ensure the reliability and observability of the platform in production.
You will design, build, and operate AWS-based cloud infrastructure while creating reusable platform capabilities to improve developer productivity. Additionally, you will partner with product engineering to identify system inefficiencies and drive improvements in reliability, performance, and operational readiness.
The role focuses on managing and automating deployment pipelines and infrastructure on AWS platforms. It also involves monitoring system performance, managing incidents, and supporting security hardening and performance testing.
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The role focuses on managing and automating deployment pipelines and infrastructure on AWS platforms. It involves monitoring system performance, managing incidents, and collaborating with teams to improve overall system reliability.
The Platform Infrastructure Engineer will build and manage core infrastructure services on a cloud-native platform using Kubernetes and VMs across GCP and AWS. They will also implement observability solutions, automate infrastructure provisioning, and participate in a 24x7 on-call rotation.
You will design, build, and operate backend services for real-time collaborative editing, game publishing, and content delivery. Additionally, you will own systems end-to-end, including deployment, monitoring, and scaling in a cloud-native environment.
Design and build an events-first observability foundation, including high-throughput ingest and query pipelines. Develop instrumentation libraries and SDKs to standardize telemetry across the organization while integrating AI agents into production investigation.
Design, build, and maintain backend systems and APIs for the Wikidata Query Service to ensure scalability and reliability. Monitor production systems, resolve operational bottlenecks, and contribute to deployment automation and CI/CD workflows.
Design and maintain backend systems and APIs for the Wikidata Query Service to ensure high scalability and reliability. Collaborate with SRE and product teams to monitor production systems and implement automation for data pipelines.
Own the mobile platform and distribution system to reliably ship thousands of branded restaurant apps across iOS and Android. Focus on improving developer experience, strengthening release automation, and increasing distribution reliability at scale.
Develop and optimize GraphQL APIs, gRPC endpoints, and SQL queries to power the Sportsbook marketplace. Design and deliver new features end-to-end while mentoring other engineers and managing production stability.
Lead the Power BI and Power Platform Global CoE forums while designing and building end-to-end low-code solutions. Mentor team members and collaborate with stakeholders to improve the reliability, efficiency, and performance of enterprise applications.
Drive the adoption of Power Platform and Copilot Studio by guiding the design of AI agents and business solutions. Train global teams on development best practices and collaborate with architects to create standardized integration patterns.
Architect and build scalable backend systems for agent assist integrations and authentication frameworks. Ensure high availability and security for real-time conversation systems within complex enterprise ecosystems.
Design, build, and operate scalable infrastructure for ingesting and processing petabytes of data into a lakehouse. Develop internal libraries and tooling to improve the reliability and observability of the Spark and Databricks-based data platform.
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Design and operate scalable systems that transform high volumes of identity data from third-party integrations into product primitives. Establish observability, SLOs, and technical vision for a world-class data infrastructure to support engineering and AI teams.
Lead the development of the internal Developer Platform, focusing on monorepo CI/CD, shared build infrastructure, and an Agentic AI platform. The role involves eliminating developer toil and scaling change-throughput substrates beyond traditional PR-based workflows.
Design, deploy, and maintain VM and Kubernetes infrastructure across GCP and AWS environments. Build and manage Infrastructure as Code using Terraform and implement comprehensive observability solutions.
Responsibilities include building and operating internal platform services and APIs in Go for provisioning, quotas, and cost insights, while also codifying infrastructure using Terraform and GitOps practices. The role involves defining SLOs, participating in incident response, and standardizing safe delivery patterns like testing gates and canaries.
You will build and ship features for the North AI workspace platform and develop autonomous agents that interact with sensitive enterprise data. This role involves leading end-to-end deployment of North in private cloud and on-premises environments.
You will own and evolve the full-stack rendering pipeline for Yelp's search pages, spanning server-side Python services and client-side React/TypeScript packages. Additionally, you will design and maintain component registration frameworks and GraphQL APIs to support feature teams across the platform.
You will define technical strategy for platform architecture and AI-enabled engineering while leading cross-functional initiatives. Additionally, you will contribute to the reliability and scalability of a high-traffic consumer platform through hands-on implementation and technical coaching.
Design, develop, and deploy machine learning models to power real-time inventory understanding and shelf stocking dynamics. Collaborate cross-functionally to build and evolve the core infrastructure of the Digital Twin Platform.
Lead the operational excellence, reliability, and support of enterprise AI and data platforms including MLOps and automation. Partner with cross-functional teams to ensure the stability, scalability, and governance of AI/ML solutions and Generative AI services.
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You will architect, build, and maintain model serving infrastructure and real-time data pipelines to support the company's detection engine. Additionally, you will collaborate with machine learning and data science teams to scale services and improve feature development workflows.
You will design and build a next-generation reliability platform while leading engineers through technical ambiguity and project delivery. You will also foster a culture of quality by setting design standards and supporting the operational health of production systems.
The role involves operating, designing, prototyping, and testing various database solutions including SQL Server, Aurora, and MySQL. You will also be responsible for documenting work and recommending improvements to existing database systems.
The role involves operating, designing, and prototyping database solutions across various product lines. Responsibilities include implementing new database systems, performing testing, and documenting all technical work.
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