499 Software Engineer jobs in Canada available for remote work from home. Apply for positions such as AI First iOS Software Engineer (Remote), Sr. Software Engineer (C# .NET), Senior Software Engineer, Canvas Core and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will build, evolve, and scale digital marketplace mobile experiences using modern SwiftUI and AI-assisted development tools. The role involves collaborating with product, design, and engineering teams to ship high-quality features while maintaining operational health.
You will be responsible for constructing and maintaining high-value core system components while leading technical discussions on software architecture and testing. The role involves collaborating with cross-functional teams to enhance core offerings and ensure high performance and quality standards.
You will design, build, and improve the Canvas platform to ensure the Mural editor remains reliable, high-performing, and intuitive. You will also partner with cross-functional teams to deliver scalable technical solutions and mentor engineers to raise the bar for platform quality.
You will lead the technical architecture of the Data Platform team to enhance data ingestion, curation, and retention services. Additionally, you will build infrastructure to support machine learning and LLM-driven insights while mentoring engineers and driving continuous improvement.
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.
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You will lead the technical direction for the static analysis engine, defining architecture for program modeling and AI-assisted tooling. You will also act as the directly responsible individual for high-scope initiatives, mentoring engineers and ensuring the trustworthiness of agent-generated code.
You will design and ship security analyzers that combine deterministic analysis with AI-driven reasoning to detect vulnerabilities. Additionally, you will act as the directly responsible individual for team initiatives, mentoring engineers and maintaining high standards for code quality and performance.
You will build and maintain data and measurement foundations that connect consumer acquisition activity to downstream outcomes like conversion and GMV. Additionally, you will lead engineering efforts through ambiguity, ensuring operational reliability and high-quality standards across marketing and data ecosystems.
You will lead the architecture and reliability of high-traffic consumer web experiences while managing marketing technology integrations and measurement systems. Additionally, you will collaborate with cross-functional teams to deliver quarterly goals and improve the technical quality of the platform.
The Staff Engineer will lead the design, scalability, and reliability of build and deployment pipelines to ensure efficient software delivery. They will also mentor team members and collaborate across engineering to improve developer productivity and CI/CD standards.
You will own the end-to-end technical direction for the Session Replay product, driving the evolution of backend architecture and data systems. Additionally, you will lead the design of investigation workflows and collaborate across teams to build cohesive cross-product experiences.
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 collaborate with cross-functional teams to deliver fullstack projects across mobile and web platforms while ensuring system availability. Additionally, you will participate in the product development lifecycle, providing technical expertise and supporting team growth through mentorship and code reviews.
You will define and build the platform for deploying and operating services while owning the strategy for service identity, discovery, and communication. Additionally, you will partner with engineering teams to create a compliant, self-service infrastructure that improves operational safety and developer productivity.
You will design, develop, and launch backend systems and APIs while collaborating with product management and design teams. Additionally, you will support the operations and availability of team artifacts through monitoring and on-call efforts.
Lead cross-functional initiatives to build and maintain fraud decisioning systems while mentoring engineering staff. Drive technical strategy by designing scalable solutions and ensuring high-quality code standards across the organization.
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The role involves designing, implementing, and maintaining scalable Salesforce solutions including CPQ, Billing, and various cloud modules. You will also be responsible for developing integrations between Salesforce and enterprise systems while ensuring optimal performance and data integrity.
The engineer will own and contribute to the migration data platform and build environment provisioning automation for new customers. They will also support sandbox and simulation services to enable customer integration testing and validate setups.
Design and implement experiments within browser engine subsystems to improve performance and correctness. Investigate internal data structures and execution behavior while prototyping new engine capabilities.
You will guide the technical direction and implementation of large-scale product features while collaborating with product, design, and engineering teams. Additionally, you will mentor teammates, improve engineering excellence, and ensure the delivery of secure, reliable, and maintainable code.
You will design and implement robust distributed services to ensure high availability and disaster recovery for critical financial infrastructure. Additionally, you will mentor technical leaders and contribute to the overall engineering strategy and culture at Stripe.
You will design, build, and operate large-scale distributed systems for internet-wide security scanning and data collection. Additionally, you will provide technical leadership, mentor engineers, and collaborate with cross-functional teams to evolve the scanning platform architecture.
You will work within a product engineering pod to ship features using an agentic workflow, directing coding agents to implement specs while ensuring high quality and performance. You are responsible for the end-to-end outcome of your features, including correctness, security, and the user experience for government staff.
You will partner with engineering leadership to define the AI-enablement roadmap and build tools, workflows, and practices to enhance developer productivity. Additionally, you will establish safety guardrails for AI-generated code and measure the impact of AI tooling on engineering velocity and quality.
Provide hands-on technical leadership across multiple teams to solve complex technical challenges and drive architectural decisions. Partner with engineering managers and product teams to improve engineering effectiveness, system scalability, and delivery speed.
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You will build and scale cache services using Redis and Valkey while automating infrastructure operations and managing cluster migrations. Additionally, you will partner with client teams on caching strategies and maintain high availability for mission-critical financial data systems.
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 improve high-traffic consumer web experiences while contributing to experimentation, instrumentation, and marketing integrations. You will also collaborate with cross-functional teams to deliver projects and support the availability and operations of team artifacts.
You will design, build, and maintain scalable software solutions while integrating AI and data science capabilities into production workflows. Additionally, you will lead technical projects, define engineering standards, and mentor team members to ensure high-quality, reliable system performance.
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