Top Software Engineer Jobs in Toronto

Build and maintain full-stack web applications using Vue.js/Nuxt 3, TypeScript, Node.js, and AWS. Implement SSR, reusable components, Node APIs and integrations with headless CMS and third-party platforms. Contribute to AI-enabled marketing workflows, performance, accessibility, SEO, testing, monitoring, and troubleshoot across browsers, APIs, CMS, and cloud infrastructure. Participate in code reviews, documentation, and cross-functional planning.

Lead architecture and implementation of a unified, cloud-native data feed platform. Design scalable ingestion, transformation, and delivery pipelines; establish DataOps, governance, monitoring, CI/CD, and performance best practices; mentor engineers and influence cross-team technical strategy.

Build and maintain Python-based, cloud-native data pipelines and file delivery systems on AWS. Design scalable delivery for CSV/Parquet/JSON via S3, SFTP, and data marketplaces. Implement data quality, monitoring, CI/CD, and migrate legacy feeds to cloud architecture. Contribute to web-based monitoring/configuration, documentation, reviews, and production support.

Design, develop, deploy, and operate secure, scalable backend services. Drive technical initiatives, contribute to architecture, troubleshoot production issues, participate in on-call, and promote observability, CI/CD, and secure engineering practices while mentoring peers.

The Software Engineer will design and deliver software solutions for research workflows, ensure system scalability, and collaborate with cross-functional teams.

Design and deliver software solutions, ensuring system scalability and reliability, while collaborating with various stakeholders to enhance data analysis and research workflows.

The Software Engineer is responsible for designing and delivering software solutions, ensuring system scalability, and contributing to technical vision and best practices.

Design, implement, test, deploy, and refine integrations and internal tools to simplify IXL setup for schools and districts. Implement data exchange methods and standards, develop prototypes with product and partners, work in an agile environment, and help shape a next-generation integration platform.

Lead frontend technical strategy and deliver high-impact web, iOS, and Android features using React and TypeScript. Drive cross-team initiatives, modernize web code and design systems, build tooling (codemods, AI agent skills), ensure operational reliability (monitoring, on-call, playbooks), and mentor engineers while collaborating with product, design, and analytics.

Design, build, and maintain RESTful APIs (Oracle ADF BC REST and Jersey), implement database-level support (SQL/PLSQL), write secure reusable code, improve API tools/processes, produce documentation, perform code reviews, and troubleshoot/solve problems.

Design, build, and maintain internal automation tools and integrations to automate employee lifecycle, identity and access management, and enterprise application workflows. Troubleshoot systems, support deployments and monitoring, write clean code, and maintain documentation, runbooks, and architecture diagrams.

The Full Stack Software Engineer will develop and deliver ML-powered applications, working with cloud services, APIs, and modern front-end frameworks while actively participating in technical design and collaboration within a project pod.

Develop and maintain WPF-based enterprise software for medical device systems. Collaborate on requirements and design, implement features, write unit tests, perform integration testing, fix defects, maintain CI, document work, and support peers.

Design, implement, and scale production ML components and data pipelines using robust software engineering practices. Collaborate with customers and product teams to generalize use cases into platform features, deploy ML models to production, and maintain infrastructure (Kubernetes, Airflow, Terraform) and data services (BigQuery). Mentor teammates, write well-tested type-hinted code, and support successful customer implementations.

Build and optimize an ultrafast full‑stack application that processes massive real‑time and batch data to generate analytics, reports, and automated decisioning. Improve query performance and cost, work on distributed systems and microservices, and deliver excellent front‑end user experiences at scale.

Lead design and delivery of reliability projects for Coinbase's platform: secure service configuration and secrets management, improve canary-based deployments, partner with core services to increase scalability and reduce incidents, drive reliability best practices, and participate in on-call rotations.

Lead cross-organizational technical strategy and execution for core sharing and collaboration systems. Architect and implement foundational frontend/backend and platform solutions at massive scale, drive AI/LLM adoption, mentor engineering leaders, resolve systemic bottlenecks, and remain hands-on in critical design, prototyping, and code contributions.

As a Senior Software Engineer, you will design and build a new lifecycle orchestrator service, mentor engineers, and drive technical strategies while improving engineering standards and processes.

As a Product Engineer at Bree, you will build full-stack features using a TypeScript/Node serverless stack and React Native, focusing on delivering value quickly and iteratively. You’ll collaborate closely with design and product teams to enhance customer outcomes while managing engineering tradeoffs effectively.

Develop and test software solutions, troubleshoot software issues, and design distributed systems using various programming languages and technologies.

The Software Engineer will design and build secure and scalable backend services, APIs, and integrations, collaborating with cross-functional teams to deliver impactful solutions.

As a Software Engineer in ML Infrastructure, you will develop scalable data pipelines, enhance data discovery, and collaborate with teams on data organization and ML features.

The role involves developing and managing infrastructure for distributed LLM inference systems, ensuring performance and usability, debugging complex systems, and collaborating with performance engineers.

As a Software Engineer, you'll build and maintain Baseten's core product, design APIs, implement features, fix issues, and collaborate with teams.

Design and implement RDMA/InfiniBand networking primitives for distributed GPU inference, optimize communication for Disaggregated KV Cache and WideEP, enable sub-10s model startup, validate hardware performance on H100/H200/B200/B300/GB300 clusters, build observability tools, and optimize or author communication kernels (NCCL/NVSHMEM/UCX).