Top Software Engineer Jobs in Toronto

Develop and maintain open-source client code and backend services focused on networking features. Design, test, document, and optimize distributed networking components, improve scalability and stability, support observability and incident response, handle customer escalations, and apply security-first engineering practices. Collaborate asynchronously with engineers, product managers, and UX/UI designers throughout the product lifecycle.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

Coordinate application and infrastructure releases across environments, maintain CI/CD workflows, troubleshoot pipeline and deployment failures, assess environment readiness, and support production incidents. The role uses Azure, Terraform, monitoring, logging, tracing, and automation to improve release reliability. Responsibilities also include change governance, documentation, security controls, platform upgrades, Kubernetes delivery practices, stakeholder coordination, and continuous improvement of deployment processes.

Develop and optimize high-performance features for SideFX’s 2D and 3D software products, including Houdini and Houdini Engine plug-ins. Maintain the glTF importer and exporter, support PDG, HAPI, games tools, and multiple hardware platforms, and debug product issues. The role requires modern C++ and Python development, strong 3D graphics knowledge, software quality and performance focus, independent problem-solving, and effective collaboration.

Design, develop, and enhance enterprise digital platforms using Adobe Experience Manager. Build custom components, scalable integrations, authoring experiences, and full-stack solutions with Java and modern frontend technologies. Apply expertise in AEM Sites, Sling Models, OSGi, Headless AEM, GraphQL, performance, security, CI/CD, and cloud delivery while promoting engineering best practices.

Build and ship end-to-end features for Dover's marketplace and ATS. Propose product ideas, implement designs, launch, iterate in production, and collaborate closely with a small engineering team to move quickly and maintain high quality.

Build and operate reliable distributed services and media-processing infrastructure for capturing, ingesting, and processing meeting audio, video, metadata, and real-time events. Develop observability and operational tooling, investigate complex production issues, own systems through rollout and iteration, integrate with third-party platforms, and use AI coding agents to improve engineering workflows.

Develop and maintain software and platform capabilities for data connectivity and transformation across Power BI, Microsoft Fabric, Excel, and related products. Responsibilities include building connectors, SDKs, developer tools, and automation; collaborating with engineering and product teams; improving quality, performance, telemetry, and maintainability; and participating in design, coding, testing, deployment, troubleshooting, and support throughout the software development lifecycle.

Build and maintain developer tools, SDKs, CLI, MCP interfaces, integrations, and supporting backend services. Collaborate on API contracts, compatibility, testing, releases, documentation, and shared tooling. Support developers through GitHub issues and pull requests while designing reliable systems with authentication, retries, idempotency, rate limits, monitoring, and error recovery.

The role involves optimizing hardware support within a software stack for AI model deployment, collaborating with teams and hardware vendors to enhance performance and portability across platforms.

Lead technical strategy and execution for foundational Trust and Safety backend systems supporting consumer risk and credit reporting. Design and operate highly available distributed systems, improve reliability, monitoring, testing, and on-call processes, and guide cross-functional initiatives. Establish engineering standards, conduct technical planning, mentor engineers, communicate architectural decisions, and drive system quality, scalability, and sustainability across teams.

Develop and maintain a modern operational reporting portal using Java, Angular, REST APIs, SQL, relational databases, and Microsoft Azure. Responsibilities include building accessible front-end components, backend services, API integrations, database logic migration, automated testing, CI/CD deployment, documentation, and knowledge transfer. The role requires modernizing legacy reporting functionality into scalable enterprise applications while supporting performance, security, maintainability, and Agile delivery practices.

Participate in a 15-week full-time software engineering internship in Vancouver, Burnaby, or Richmond. Build and ship product features, contribute code to Atlassian products, apply data structures and algorithms, and learn full-lifecycle development through mentorship and collaboration with senior engineers. Work may involve cloud initiatives and AI-driven features.

Provides expert technical support for Android framework and core OS issues on Zebra mobile computing products. Debugs AOSP source code, NFC stacks, Host Card Emulation, secure elements, and RFID HALs; collaborates with customers and hardware, firmware, software, and product teams. Develops AI-driven diagnostic and workflow automation tools, documents solutions, and mentors support engineers.

Leads development of scalable platform capabilities, infrastructure, tooling, and ML frameworks. Drives the full software development lifecycle, applies cloud-native architecture, conducts system design reviews, builds AI-driven applications, mentors engineers, and collaborates with stakeholders to deliver reliable, data-informed technical solutions.

Build and maintain scalable full-stack software for an enterprise governance platform. Design system architecture, deliver production AI capabilities such as RAG, vector search, LLM integrations, and agents, and ensure application quality, security, and reliability. Collaborate with product, design, and engineering teams, improve development processes, evaluate emerging technologies, and mentor colleagues in modern engineering and AI-assisted development practices.

Develop and maintain user-facing web applications using Next.js, optimize performance and scalability, implement responsive interfaces, and ensure UI/UX designs are technically feasible. Collaborate with backend developers and designers, write clean documented code, troubleshoot issues, and conduct performance testing. The role requires strong autonomy, communication, and effective remote collaboration.

Build and deliver interactive playable ads and creative units using HTML5, JavaScript, Canvas, and 2D/3D frameworks. Implement gameplay, animations, responsive layouts, asset pipelines, analytics instrumentation, and performance optimizations across supported devices. Own projects from technical kickoff through production delivery, conduct self-QA, resolve issues, and improve development workflows while meeting deadlines.

Build scalable, low-latency backend APIs, event-driven services, integration layers, and microservices supporting personalization and recommendation experiences. Partner with AI/ML and data engineers to deploy models, expose AI services, and develop React applications. Improve security, observability, reliability, performance, scalability, and operational efficiency while using AI-assisted engineering tools to enhance delivery and code quality.

Build and operate scalable full-stack software and AI-powered products for IoT-driven physical operations. Responsibilities include defining technical strategy, developing backend services, APIs, frontend and potentially mobile features, transforming AI capabilities into customer products, partnering across functions, leading complex projects, mentoring engineers, and improving engineering standards.

Build core MongoDB distributed database infrastructure focused on data partitioning, data movement, dynamic scaling, cluster elasticity, workload execution, and performance. Design reliable distributed protocols, solve complex scalability problems, review code, participate in architecture decisions, lead feature development, and mentor engineers. The role requires production-quality C++ development and strong expertise in distributed systems, computer architecture, performance, networking, observability, and resiliency.

Build and operate scalable, low-latency backend services, APIs, event-driven systems, integrations, and frontend applications supporting membership, loyalty, rewards, and consumer engagement. Configure and integrate Antavo with commerce, CRM, CDP, marketing, and data platforms. Apply secure, observable, resilient engineering practices, troubleshoot production issues, and optimize performance. The role requires strong Java and Spring Boot expertise, plus working knowledge of React, Node.js, Kafka, and SQL/NoSQL databases.

Build and own backend services, web applications, REST APIs, webhooks, and enterprise integrations. Lead customer integrations from scoping through launch, improve the operator dashboard, and maintain production reliability through monitoring, incident response, and root-cause analysis. Collaborate with product, success, and customer engineering teams while contributing to code reviews, technical design, mentoring, security, and AI-assisted development.

Build scalable, low-latency backend APIs, event-driven services, model-serving layers, and integrations supporting real-time and batch personalization and recommendation experiences. Design reliable, secure, observable distributed systems using Java and Spring Boot, optimize performance and operational efficiency, and integrate LLM and AI services into production applications. Collaborate with engineering leadership and use AI-assisted development tools to improve delivery and code quality.

Designs and executes functional, integration, API, automated, exploratory, and end-to-end tests for personalization, recommendation, experimentation, and consumer intelligence capabilities. Builds test suites, validates AI-driven outputs and consumer journeys, manages test data, performs cross-browser testing, partners with engineering and product teams, and improves automation coverage, regression efficiency, and defect detection.