Top Software Engineer Jobs in Toronto

Designs and scales distributed platform services, APIs, microservices, and React applications for healthcare technology platforms. Owns architecture, reliability, performance, testing, CI/CD, observability, infrastructure, and production support. Partners with product and clinical teams, mentors engineers, leads technical decisions, and uses AI-augmented development tools. Requires extensive software engineering experience with cloud-native systems, databases, REST APIs, frontend frameworks, and scalable SaaS platforms.

Architects and develops scalable Java and Spring Boot web applications, RESTful APIs, and database-backed systems. Leads software delivery, testing, code reviews, automation, troubleshooting, security remediation, telemetry, production incident response, and root-cause resolution. Collaborates with stakeholders and cross-functional teams while modernizing application stacks. The role also supports cloud-native architecture, CI/CD, container orchestration, and AI-augmented development.

Architects, develops, tests, and optimizes scalable Java-based web applications using Spring Boot microservices and modern frontend frameworks. Leads software delivery across the full lifecycle, including API design, technical specification refinement, automation, performance optimization, test-driven development, code reviews, and troubleshooting. Collaborates with internal teams and external partners to deliver maintainable solutions, improve engineering workflows, and uphold modern architecture and development standards. The role is remote in Canada and requires working Eastern Time hours.

Build backend services and APIs primarily in Python, with frontend contributions in React and TypeScript. Develop experimentation platforms, near-real-time data ingestion and processing, AI-powered workflows, partner integrations, RBAC, and other product capabilities. Collaborate with product managers, designers, data scientists, and senior engineers while delivering production-ready features across backend, frontend, pipelines, and infrastructure.

Build and maintain reliable data pipelines, integrations, APIs, and event-driven or batch processing systems. Transform data from advertising, commerce, and order management platforms while improving monitoring, data freshness, performance, security, and scalability. Partner with product, infrastructure, and data engineering teams to expand the integration platform and onboard new sources in a cloud-native, multi-tenant environment.

Design, build, test, and deploy full-stack applications using React/Next.js and Kotlin. Collaborate on architecture, contribute to component libraries, perform code reviews, mentor peers, troubleshoot production, and integrate AI-assisted tools and APIs.

Contribute to designing, training, testing, and deploying machine learning models and production pipelines. Collaborate with product managers, data scientists, and ML engineers to solve business problems, analyze data, communicate findings, and participate in code and specification reviews. The intern will apply research papers in working code, build efficient ML workflows, and develop high-quality software in a collaborative environment.

Backend software engineering intern responsible for owning projects, writing and improving code, testing for reliability, participating in code reviews, and supporting continuous integration and deployment. The role requires strong computer science fundamentals, database experience, real-time technology problem-solving, and potential mobile development experience. The internship is based in Toronto during Summer 2027 with a hybrid in-office schedule.

Software Engineer Intern working on full-stack, user-facing Lyft products. Responsibilities include developing and refactoring code, writing unit, integration, and load tests, participating in code reviews, and supporting continuous integration and deployment. Candidates should have web development experience with Python, JavaScript, React, TypeScript, databases, testing tools, browser technologies, and Git. The internship is based in Toronto during Summer 2027 on a hybrid schedule.

Lead full-stack engineering for card acquisition and onboarding across mobile, web, and backend. Define technical strategy, deliver quarterly goals, mentor engineers, ensure operational reliability (monitoring, on-call, CI/CD), collaborate with product/design/analytics, and drive quality, experimentation, and scalable backend systems.

Leads end-to-end solution design and delivery for complex enterprise software initiatives. Develops Java and Spring Boot applications, creates technical and functional designs, reviews code and deliverables, troubleshoots production issues, ensures quality and security standards, and mentors engineering teams. Collaborates with clients, architects, technology partners, and project teams while defining performance metrics, managing risks, and delivering solutions on schedule and within budget.

Design and build scalable backend systems, APIs, data models, event-driven services, experimentation platforms, and personalization systems. Partner with Product, Data Science, Analytics, and Design teams to support customer acquisition and engagement. Establish secure, observable, high-performance engineering practices, mentor junior engineers, and participate in monitoring, on-call, and operational support.

Build and operate ingestion and reconciliation pipelines that match card-network and partner reports against internal transactions. Develop reporting products, produce standardized journals for accounting, support tax and regulatory filing systems, handle sensitive PII for compliance, debug production issues, and collaborate with finance, product, and data teams to automate and scale reconciliation and reporting.

Design, build, test, and maintain enterprise integrations and automations across procurement, finance, and supply chain systems using MuleSoft and Zip iPaaS. Develop Python tools, write and optimize SQL, collaborate with stakeholders, ensure scalability and security, monitor production integrations, and contribute to documentation and DevOps practices.

Design, build, and operate a unified data platform: ingesting, processing, and exposing large volumes of data. Develop scalable ingestion pipelines, storage layers, observability, SLIs/SLOs, multi-tenant models, and metadata/ governance to enable secure cross-product data access and migrations from legacy systems.

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.

Build and own backend services for tokenized equities, including issuance, custody, settlement, smart contract integrations, chain indexers, and DEX trade flows. Connect traditional brokerage and ledger systems with on-chain infrastructure while ensuring correctness, auditability, scalability, and risk reduction. Collaborate with product, compliance, client, and platform teams to deliver financial technology solutions.

Develop and maintain backend software for Lyft’s claims technology platform. Own features from product specifications through development, deployment, and maintenance; write tested, maintainable code; participate in code reviews; design scalable team-owned components; document technical designs; and collaborate with stakeholders and insurance partners to improve claims operations and reduce risk and costs.

Build and maintain full-stack software across frontend and backend systems. Develop APIs, backend services, integrations, and user-facing features; write tested code; debug production issues; and work with databases, AWS, microservices, and CI/CD. Collaborate with Product, Design, and engineering teams, contribute to code reviews, and improve reliability, performance, security, and user experience. Take ownership of work from development through production while continuously learning and using AI tools to improve engineering practices.

Build, evaluate, and deploy agentic AI systems that automate insurance operations. Own full-stack features and core product areas from design through production, shape architecture and tooling decisions, collaborate with customers and forward-deployed engineers, lead technical initiatives, establish engineering practices, mentor engineers, and contribute to product strategy.

Design, implement, verify, and maintain safety-related embedded C/C++ firmware for vehicle control ECUs. Responsibilities include real-time software, CAN and J1939 communications, diagnostics, I/O control, hardware-in-the-loop testing, CI/CD automation, embedded Linux connectivity, formal requirements traceability, code reviews, and field commissioning. The role requires extensive microcontroller, hardware debugging, safety coding standards, and vehicle network experience.

Lead the architecture, design, and development of secure, cloud-ready software platforms and configuration tools for transmission and distribution systems. Integrate IEC 61850 workflows, utility systems, protection and control devices, and grid automation capabilities. Guide cross-functional architecture, software lifecycle management, cybersecurity, technology roadmaps, customer engagements, and engineering teams. Promote reusable platforms, AI-assisted engineering, interoperability, and technical innovation through mentoring, publications, patents, and industry participation.

Build and ship full-stack web and mobile experiences across Affirm’s consumer products. Responsibilities include breaking projects into tasks, collaborating with product, design, and analytics teams, developing scalable APIs, writing tested and extensible code, monitoring service metrics, supporting on-call operations, debugging, conducting code reviews, and participating in team development and interviews.

Develop and maintain automated tests for complex software products, assess test coverage, perform functional, integration, regression, system, and release testing, and troubleshoot failures across products, environments, and CI/CD pipelines. Partner with software engineers on defect reproduction and root-cause analysis, improve test reliability, maintain testing infrastructure, and provide technical feedback on software quality and release readiness.

Designs and operates scalable cloud infrastructure and CI/CD pipelines across AWS and Azure. Builds Infrastructure-as-Code with Terraform and CloudFormation, manages Docker and Kubernetes environments, and improves security, reliability, observability, disaster recovery, and deployment efficiency. Partners with engineering, architecture, product, and operations teams on cloud-native platforms, distributed systems, automation, incident response, and long-term platform strategy.