Top Full Stack Developer Jobs in Toronto

Develop and maintain cloud-based IoT applications for manufacturing. Design secure, scalable full-stack solutions, APIs, data integrations and pipelines. Collaborate with architects, product owners, developers, and stakeholders; follow DevOps and agile practices; mentor team members and troubleshoot production issues.

Design and develop Large Language Model-based applications within Pharma R&D, focusing on client collaboration and technical excellence while ensuring production readiness and performance optimization.

Join the Cloud Data Ingestion & Transformation team to design, build, and operate scalable data ingestion and transformation systems. Own end-to-end features (primarily back-end with front-end delivery), process very high data volumes, drive architectural decisions, and improve platform reliability and customer data integrations.

Lead design and delivery of scalable, secure solution architectures across cloud-based systems. Create ADRs and HLDs, participate in governance, collaborate with stakeholders, mentor teams, and ensure alignment with architectural and security standards.

Design, prototype, and deliver production-grade agentic AI applications and cloud-native systems. Build multi-provider agent architectures, orchestration, retrieval/RAG, observability, and scalable microservice or serverless integrations while advising clients and guiding adoption of AI-native development practices.

The Full-Stack Developer will design, develop, and maintain integrations, APIs, and applications for MaintainX, focusing on high-quality, reliable code and collaboration with teams.

Contribute to design, development, testing, and implementation of enterprise applications. Build and integrate web applications (Java, Angular/React), implement REST/Kafka integrations, optimize performance and reliability, apply security best practices, support users, coach junior analysts, and assist cloud migration efforts.

Design, develop, and implement scalable eCommerce solutions using Commercetools across the full stack. Build and integrate front-end applications and APIs, collaborate with product, design, and engineering teams, and deliver high-quality, performant digital commerce experiences while working Eastern Time hours.

Senior individual-contributor full-stack engineer who architects and implements AI-augmented, cloud-ready, scalable financial applications. Leads architecture, champions SDD/TDD/BDD/DDD, integrates AI tools into the SDLC, mentors engineers, and optimizes Oracle and MongoDB interactions for performance and resilience.

The role involves solving complex technical problems as a full-stack engineer, optimizing front-end performance, and collaborating closely with designers to enhance user experiences. Responsibilities include code and design reviews, documentation, and a strong emphasis on accessibility and using AI tools to improve workflows.

The Full Stack Engineer will design, build, and maintain scalable web applications, impact customer onboarding and integrations, write and review code, and support technical improvements.

Build and own user-facing web experiences with a front-end focus using React, Next.js, and TypeScript. Work across the full stack (Node.js/NestJS), design and integrate REST APIs, collaborate with product and design, run growth experiments, ensure accessibility/performance, write tests, support production through on-call rotations, and contribute to payments and banking integrations.

Build and maintain production React/Redux front-ends and Java Spring Boot back-ends; use agentic AI tools across the SDLC for specs, coding, testing, reviews, and debugging; create APIs, integrations, automated tests, ensure production readiness, observability, security, and take ownership through release and production verification.

Join a small team to improve a tech product aimed at upskilling users in MENA, working with JavaScript and Node.js in a collaborative remote environment.

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.

Contribute to application systems analysis and development across design, construction, testing, implementation, and support. Perform feasibility studies, estimates, risk assessment, recommend security measures, consult with stakeholders, coach junior staff, and ensure compliance with policies and standards.

Design, build, and deploy AI-enabled enterprise systems utilizing Laravel, Java, and JavaScript, while ensuring SR &ED compliance and meeting strict deadlines.

Develop and enhance IAM features, optimize IAM systems, collaborate with teams, deliver maintainable code, and support ongoing improvements.

Design and build scalable full stack applications, integrate AI-driven workflows, develop REST APIs, and mentor junior engineers while ensuring high engineering standards and system reliability.

Lead design, implementation, and operation of full-stack, customer-facing web experiences (Browse, Navigate, Preview). Drive architecture, tradeoffs, observability, testing, and on-call readiness. Partner with Product, Design, Data, Infrastructure, and platform teams, use approved AI tools responsibly, and own multi-phase rollouts, measurement, and cross-team alignment.

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.

Lead and deliver AI-native full‑stack engineering projects from prototype to production. Collaborate with PM, design, and analytics, mentor engineers, define technical plans, ensure operational reliability, and drive quality, code review standards, and on-call support for rapid, experiment-driven product development.

Lead end-to-end design and delivery of high-performance, interactive FinTech analytics and reporting platforms. Build Angular/React frontends and Java/Spring Boot low-latency microservices, optimize ETL and Starburst (Trino) queries, create MCP servers to connect LLMs/AI agents to enterprise data, and implement Aspose-based document generation. Mentor engineers and validate AI-generated code with CIB domain expertise.

Build and deploy production-grade AI features and backend services for generative AI, LLM integrations, conversational AI, and retrieval-augmented systems. Collaborate with product, research, and data teams, contribute to design and code reviews, implement evaluation pipelines, monitor production quality, and mentor junior engineers.

Build and lead design, implementation, and production deployment of Generative AI and LLM-powered systems. Own backend services, model integration, RAG/agent architectures, evaluation pipelines, monitoring, and reusable GenAI platform components while mentoring engineers and partnering with cross-functional teams.