Top Tech Jobs & Startup Jobs in Toronto

Build and maintain full-stack web applications and backend services using React, TypeScript, Java, and Spring Boot. Develop accessible, responsive interfaces, reusable components, REST API integrations, and microservices. Collaborate with cross-functional teams, optimize performance, troubleshoot incidents, support security and testing practices, and contribute to cloud-native platforms, CI/CD, Agile delivery, and AI-powered conversational experiences.

Build, test, operate, and maintain scalable backend services, APIs, and microservices. Collaborate with product managers, architects, data engineers, and cross-functional teams to deliver secure cloud-native solutions. Develop integrations, work with databases, caching, messaging, and distributed systems, and troubleshoot production issues. Contribute to monitoring, observability, performance optimization, code reviews, CI/CD, automation, Agile delivery, and continuous engineering improvement.

Build and maintain full-stack web applications and backend services for PUMA’s global digital ecosystem. Develop React and TypeScript interfaces, Java and Spring Boot APIs, microservices, and AI-powered conversational experiences. Collaborate with product, design, architecture, data, and engineering teams; optimize performance, accessibility, security, observability, and reliability; troubleshoot production issues; contribute to technical design and engineering standards; and mentor junior engineers.

Design, build, and operate scalable backend systems, APIs, microservices, and distributed services. Lead technical implementations, improve performance, reliability, security, observability, and operational excellence, and collaborate with product, architecture, data, and engineering teams. Contribute to cloud-native and event-driven architectures, production support, incident management, technical reviews, automation, and continuous improvement. Mentor engineers through code reviews and technical guidance while delivering secure, high-performing business and consumer-facing applications.

Design, develop, and operate scalable backend APIs, microservices, and distributed systems. Build cloud-native, event-driven, data-intensive applications using databases, caching, messaging, search, and observability technologies. Lead technical design, improve performance and reliability, participate in architecture reviews, support production incidents, mentor engineers, and collaborate with product, architecture, data, and engineering teams.

Build and operate production-grade LLM applications, agentic workflows, RAG and retrieval pipelines, AI memory architectures, and evaluation harnesses. Deploy and monitor AI services using cloud infrastructure, containers, APIs, and MLOps platforms. Configure AI gateways, manage model routing and costs, secure integrations, and optimize serving architectures. Collaborate with product, engineering, SRE, security, and software teams to deliver scalable AI capabilities.

Designs, builds, and operates scalable backend payment services for omnichannel commerce. Responsibilities include payment authorization, capture, refunds, tokenization, fraud prevention, gateway and enterprise-system integrations, observability, performance optimization, resilience, PCI-compliant architecture, and operational readiness. The role contributes to technical architecture, mentors engineers, reviews code, supports roadmap delivery, and uses AI-assisted development tools to improve quality and productivity.

Build and operate scalable Java-based microservices powering omnichannel basket, cart, pricing, promotions, checkout, order submission, and fulfillment experiences. Responsibilities include technical design, development, testing, performance optimization, caching, observability, reliability, monitoring, distributed tracing, and operational readiness. The role also involves supporting guest checkout, saved carts, multi-shipment orders, click-and-collect, real-time inventory, and AI-assisted engineering practices.

Designs, builds, and operates scalable backend services for basket, cart, pricing, promotions, and checkout across omnichannel commerce platforms. Integrates SFCC with order, inventory, ERP, customer, product, and fulfillment systems. Leads technical design, architecture decisions, observability, performance, reliability, code reviews, engineering standards, and mentoring. Develops resilient, low-latency services supporting complex checkout journeys and uses AI-assisted tools to improve delivery and code quality.

Build and maintain automated quality engineering solutions for payment, checkout, and transaction-processing platforms. Create functional, API, integration, contract, regression, performance, and end-to-end tests covering payment workflows, fraud controls, tax, promotions, reconciliation, and omnichannel experiences. Collaborate with product and engineering teams on quality strategy, test automation, compliance, observability, and production validation. Validate transaction integrity, security, scalability, device compatibility, and cross-browser performance.