499 Software Engineer jobs in Canada available for remote work from home. Apply for positions such as Senior Software Engineer, Senior Software Engineer (L3), Staff/Software Software Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will lead the technical strategy and end-to-end system design for high-availability services within the card loan platform. Additionally, you will collaborate with cross-functional teams and mentor junior engineers to ensure system health and scalability.
You will drive the technical design, execution, and operational health of platform services while leveraging AI-driven development workflows. Additionally, you will mentor junior engineers and own end-to-end feature delivery for critical compliance and phone number systems.
Design and architect scalable, reusable software across the full stack while leading technical initiatives from proposal through delivery. Set technical standards, mentor other engineers, and partner with leadership to define technical priorities.
Architect and build a production-grade Excel plugin that integrates AI-driven market intelligence into financial workflows. You will mentor the team on desktop development best practices while ensuring high performance and stability across various Office environments.
You will build and maintain full-stack features to improve search engine visibility and develop modular email systems for CRM campaigns. This role involves collaborating with product and marketing teams to translate growth requirements into scalable, testable customer experiences.
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Design and deliver production-grade AI agents that investigate, reason, and act on live observability data within the Canvas workspace. Own the full lifecycle of agent development, from initial prototyping to maintaining performance under production traffic.
You will design, build, and maintain backend systems and APIs in Go while contributing to full-stack product features using React and TypeScript. Additionally, you will provide technical leadership, mentor team members, and ensure the reliability of AI observability infrastructure in production.
You will design and implement high-performance storage and query infrastructure to support Honeycomb's observability platform. Additionally, you will own the end-to-end lifecycle of these systems, including production support, on-call rotations, and cross-functional collaboration.
Design, build, and maintain the core agentic voice AI framework, including conversation orchestration and runtime architecture. Optimize the real-time voice pipeline for latency while implementing robust guardrails and policy enforcement for banking compliance.
You will design and develop full-stack features for an AI-powered web application while integrating AI models into production environments. Additionally, you will build scalable cloud architectures and implement robust data pipelines to support AI model training and inference.
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 design and scale data infrastructure while collaborating with cross-functional teams to deliver event-driven architecture solutions. Additionally, you will support system operations, monitor performance metrics, and participate in on-call efforts to ensure service availability.
You will design and implement features for the Marketplace platform, focusing on maintenance shop connections, service scheduling, and payment processing. You will collaborate with cross-functional teams to deliver high-quality, maintainable code while participating in architectural planning and code reviews.
You will build and operate the control plane for large-scale distributed SQL databases, automating provisioning, failover, and upgrades. Additionally, you will design reliability-focused schema migrations and own the networking stack connecting services to storage on Kubernetes.
You will design and build scalable financial infrastructure products while collaborating with cross-functional teams to solve complex technical challenges. Additionally, you will mentor junior engineers and debug critical production issues across the stack.
You will integrate new blockchains and decentralized exchanges into the Coinbase app while designing smart contracts for advanced trading primitives. Additionally, you will scale real-time data pipelines and optimize the trading stack to ensure millisecond-latency processing.
You will design, build, and operate scalable software for real-time traffic signal optimization while leveraging AI-first workflows. You are expected to take ownership of complex, ambiguous problems and partner with cross-functional teams to deliver reliable production outcomes.
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The Staff Software Engineer will design and maintain scalable backend systems and data infrastructure to support high-volume real-time events. They will also provide technical leadership, mentor team members, and collaborate cross-functionally to drive architecture decisions.
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 design, build, and operate production-grade LLM pipelines and agentic workflows that integrate evidence bases with knowledge graphs. This role involves managing the full lifecycle of AI systems, including evaluation, monitoring, and technical direction for safety-critical enterprise applications.
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.
You will define the technical strategy for the Identity team and collaborate with cross-functional partners to deliver business-impacting projects. Additionally, you will ensure system availability and operational excellence while fostering a culture of high-quality engineering standards.
You will own the end-to-end architecture and roadmap for search and recommendation systems, including retrieval, ranking, and relevance quality. You will also define quality metrics, manage production search clusters, and collaborate with product and ML teams to optimize discovery surfaces.
Design and build high-quality Android growth and monetization experiments while leveraging AI-native workflows to iterate rapidly. Partner with cross-functional teams to translate hypotheses into shippable features and maintain high performance standards across the app.
Guide technical direction and implementation of large-scale product features, collaborating with product, design, and engineering teams to shape strategy and improve the user journey. Deliver secure, reliable, well-tested software; resolve team inefficiencies and complex issues; and mentor engineers while promoting engineering excellence.
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Build and operate Go-based registries, APIs, and artifact-serving services, improving their security, reliability, scalability, and performance. Deliver features from design through testing and rollout, contribute to production operations and incident resolution, and collaborate across engineering and product teams.
Lead the technical roadmap and architecture for Ads Manager’s frontend, building and scaling React interfaces for campaign creation, management, reporting, and optimization. Improve shared components, performance, accessibility, observability, security, and developer practices while partnering across teams and mentoring engineers.
Evaluate AI-generated coding interactions to assess the quality of reasoning, explanations, and engineering judgment. Provide clear, opinionated written feedback and video walkthroughs to help define high-quality AI-assisted development standards.
Design, build, and ship end-to-end features across the stack in a scalable, distributed cloud environment. Implement robust backend microservices and responsive user interfaces while maintaining platform reliability.
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