Software Engineer (Data Platform) 11 applicants
Architect and maintain scalable data platform infrastructure and optimize analytic query engines. Collaborate with data teams to implement robust data management solutions and observability frameworks.
Remote Platform Engineer Jobs in Canada
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Architect and maintain scalable data platform infrastructure and optimize analytic query engines. Collaborate with data teams to implement robust data management solutions and observability frameworks.
Conduct browser security audits and execute security mitigations for the Search Engine Results Page (SERP). Manage application security scanning infrastructure and perform internal red-team operations to protect users across all products.
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.
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.
Own and operate secure, highly available multi-cloud infrastructure across AWS and GCP, including MongoDB Atlas, infrastructure as code, Kubernetes, CI/CD, security, and self-hosted open-source tools. Lead a team of three DevOps engineers, build observability and incident-response practices, and collaborate across engineering, product, and security teams.
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Design and lead the architectural evolution of a cloud-native geospatial analytics platform. Develop and optimize microservices while collaborating on analytical dashboards and GIS system integrations.
You will build real-time voice AI features and design LLM-powered systems to support emergency response workflows. You will own features across the full stack, including backend services, AI pipelines, and frontend interfaces.
The Senior Software Engineer will act as the primary engineering contact for production issues, triaging and resolving critical bugs within a large Django-based virtual care platform. They will also build internal tools, automation, and diagnostic capabilities to empower support and clinical operations teams while maintaining HIPAA compliance.
You will be responsible for end-to-end testing of platform features, including frontend, backend, and API integrations. Additionally, you will investigate defects, maintain test documentation, and collaborate with the automation team to improve quality processes.
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.
Build and scale a centralized authentication and authorization platform to ensure secure resource access across customer environments. Own the internal self-service platform for user and permission management while collaborating with cross-functional teams to improve developer experience.
Lead the design and operation of real-time voice AI systems to support 911 telecommunicators at scale. Set the technical strategy for the AI Agent Platform, mentoring engineers and owning critical backend and AI pipeline infrastructure.
Lead the technical architecture and hands-on development of a new real-time, collaborative web content platform. Partner with product and design teams to define engineering standards and build scalable backend services and visual editing interfaces.
The role involves building and maintaining a robust platform for frontend development, focusing on desktop screen capturing and analytics systems. The engineer will work closely with product and engineering teams to enhance compliance and QA processes.
The Senior Software Engineer will design, scale, and operate distributed services for Cresta’s voice ecosystem. Responsibilities include leading the development of backend microservices and collaborating with cross-functional teams to implement innovative features.
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Design, implement, and maintain CI/CD pipelines for AI and analytics solutions. Collaborate with AI Engineers and Solution Architects to develop platforms and operational frameworks.
The Principal Forward Deployed Engineer will serve as a technical authority and bridge between enterprise customers and internal engineering teams to optimize AI-native application development. Responsibilities include designing enterprise-grade APIs, establishing GitOps workflows, and architecting production-ready LLM and GPU-based infrastructure.
You will design and build a sophisticated agent execution framework and core platform APIs for the NeMo Helix AI system. This involves providing technical leadership, mentoring, and ensuring high performance and reliability across distributed systems and Kubernetes workflows.
You will collaborate with cross-functional teams to deliver software projects and support the product development lifecycle. Additionally, you will maintain system availability through monitoring, on-call efforts, and continuous improvement of team artifacts.
You will design and build scalable backend services, APIs, and platform infrastructure while owning systems from architecture through deployment. Additionally, you will collaborate with the AI team to operationalize experimental models and improve MLOps capabilities for production environments.
You will build and scale an AI platform that enables internal teams to autonomously create, monitor, and iterate on AI agents. This involves designing system architecture, integrating AI agents into internal business tools, and ensuring the safety and accuracy of automated operational tasks.
You will own and evolve production systems, backend services, and data platforms while ensuring the reliability of machine learning and operations research workflows. You will also collaborate with cross-functional teams to design scalable infrastructure and implement robust engineering practices.
Lead the design, implementation, rollout, and operation of secure, highly available authentication platform capabilities, including sign-in, account recovery, authentication factors, sessions, authorization, and identity federation. Collaborate across product, security, fraud, compliance, and engineering teams; guide technical decisions and quality standards; mentor engineers; and lead production issue resolution and reliability improvements.
You will own the end-to-end delivery of complex infrastructure projects and operate shared Elastic Cloud infrastructure using Infrastructure as Code. Additionally, you will participate in a 24/7 on-call rotation to resolve incidents and mentor less experienced engineers to improve team processes.
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You will design and build scalable backend systems, APIs, and data models to power growth, experimentation, and personalization. Additionally, you will collaborate with cross-functional teams and mentor junior engineers to uphold high engineering standards.
You will build and ship full-stack features for a real-time collaborative content platform while contributing to architectural decisions. You will work closely with product and design teams to translate requirements into high-quality, maintainable software.
Build and operate core platform capabilities for Affirm's data infrastructure, focusing on reliability, self-service automation, and data governance. Develop integrations and next-generation AI-native data tooling to support large-scale analytical use cases.
Design, build, and maintain scalable APIs and systems to handle global money movement requests. Collaborate with cross-functional teams to deliver innovative solutions while mentoring engineers and improving internal standards.
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