Top Software Engineer Jobs in Toronto

Design, build, test and maintain scalable Java/Spring Boot services. Collaborate with product and teams to define requirements, write clean code, implement RESTful APIs, use TDD, automate tasks, monitor performance, debug, review code, and ensure systems remain up-to-date and production-ready.

Design and deliver scalable backend services for Veeva Ostro's SaaS platform. Architect high-performance APIs, optimize application and database performance, collaborate cross-functionally to ship features, champion code quality and testing, evaluate backend technologies, and troubleshoot live system issues to maximize uptime.

Build production-grade AI workflows, automations, and voice AI agent systems for internal and customer-facing use. Ship code to production, work cross-functionally with founders and engineers, and design integrations, tooling, and infrastructure that scale company operations and customer experience.

Build production-grade AI workflows, automations, and agent systems to power recruiting, security/compliance automation, finance and onboarding tooling, CRM integrations, and growth automations. Work across product, engineering, and operations to design API-based integrations and LLM-powered systems using modern models and automation tools.

Join the Platform squad to build and maintain a Typescript-based serverless microservices platform on AWS. Improve cloud availability, security, CI/CD, public APIs, data pipelines, internal DevOps libraries, and developer tooling while collaborating across product and engineering teams.

Join the Billing squad to design and build a flexible billing engine, payment/tax integrations, rating and charging infrastructure, GraphQL APIs, and user interfaces within a serverless TypeScript microservices stack. Collaborate with product, QA, and design to deliver production-grade solutions for communications service providers.

Build end-to-end AI product features across frontend and backend: design LLM agent systems, streaming APIs (SSE), asynchronous AWS pipelines, document processing, and responsive React UIs. Collaborate with product, design, and core platform teams to iterate and ship production-ready, low-latency AI experiences.

Build and operate Valence's shared platform primitives (auth, routing, LLM gateway, deployment, observability, SLOs) to enable safe, scalable, and compliant delivery of AI-first products. Implement CI/CD gates, progressive delivery, rollback automation, security guardrails, region-aware routing, and developer-facing templates and tooling.

Design, build, and productionize LLM-based conversational and AI systems for enterprise coaching. Integrate structured and unstructured data, prototype end-to-end services, improve model behavior and observability, and collaborate with product and engineering to deploy scalable, reliable AI-driven coaching workflows.

Lead a high-impact engineering team, oversee feature delivery and platform scalability, and improve technical maturity through modernization and AI tools.

Lead modernization of large .NET monoliths into cloud-native microservices. Drive architecture, data-access patterns, observability, security, and performance. Mentor engineers, lead design and discovery, and support level-3 incidents while collaborating with cross-functional teams.

Design, build, and operate scalable, fault-tolerant microservices and APIs across an e-commerce platform. Own features end-to-end, lead technical design and architecture, reduce technical debt, troubleshoot production issues, and champion testing, CI/CD, security, and observability. Collaborate cross-functionally and use AI-assisted developer tools to accelerate delivery.

Design and implement system-level debugging, validation, and observability platforms. Build automated anomaly detection, visualization and analysis tools, and frameworks for failure classification and regression detection. Extend compilers, runtimes, and instrumentation for advanced profiling. Improve bring-up and low-level debug workflows, partner cross-functionally across hardware, firmware, compiler and runtime teams, lead high-impact initiatives, and support incident response and long-term corrective actions.

Design, develop, and maintain backend microservices for reporting, analytics, data export and data-driven features. Collaborate with product, data, and engineering teams, implement APIs for BI tools, ensure data quality/governance, participate in design reviews, mentor junior engineers, and support agile delivery.

Lead architecture and implementation of scalable analytics, reporting, and AI-driven data intelligence capabilities. Own end-to-end services, drive technical direction, mentor engineers, ensure operational excellence, and collaborate with product and design to deliver secure, high-performance, maintainable solutions using cloud-native and data-platform technologies.

Lead end-to-end development of scalable platform features, drive system design and architecture, mentor engineers, champion best practices and tooling, collaborate with Product and Design, and solve complex distributed systems challenges using modern technologies.

Lead design, build, and maintenance of User Domain and HRIS integration services handling millions of user records. Architect scalable, secure microservices, mentor engineers, own features end-to-end, collaborate cross-functionally, and improve performance, reliability, and tooling.

Lead technical projects for product scaling. Design and maintain APIs and services, ensuring reliability and user experience while collaborating with product teams.

Lead QA engineer responsible for defining QA strategy, test plans, and quality metrics. Drive test automation, mentor QA team, collaborate with developers on defects, prioritize bug fixes, and implement tools and processes to deliver validated enterprise releases.

Drive testing strategy, author and execute test cases, build and troubleshoot test automation, analyze results and root causes, collaborate with development, and maintain quality documentation and policies to deliver validated releases.

Build and operate foundational cloud infrastructure and developer tooling across Azure and AWS. Own observability, CI/CD, internal tooling, and platform reliability. Drive cost optimization, security and compliance (SOC 2, HIPAA/PHIPA), and improve developer experience with automation and shared libraries.

Design, build, and maintain scalable AI platform infrastructure and services. Develop RESTful APIs, implement CI/CD for model deployment, ensure observability and container security, use generative AI tools in development, collaborate across teams, apply TDD and monitoring to deliver reliable, high-performance AI-enabled software.

Lead design, development, and maintenance of Rust-based backend services and tools. Architect high-performance, scalable, observable systems, integrate AI-powered coding tools, mentor engineers, and drive technical vision and roadmap decisions across cross-functional teams.

Design and implement backend services and data pipelines to match business activities to context. Perform data-driven research, build scalable ML/LLM systems, write tests, create observability and runbooks, and collaborate across teams to deploy and operate production services.

Build and maintain end-to-end web applications powering sales and operations. Design tools for quoting, scheduling, and fulfillment, integrate AI into products, collaborate on UX, ship high-impact features, and contribute to architecture, deployment, and engineering culture.