Top Software Engineer Jobs in Toronto

As a DevOps Engineer, you will design, develop, and deploy scalable SaaS solutions, automate infrastructure tasks, and collaborate on CI/CD enhancements.

As an AI-Driven Full Stack Engineer, you'll design and implement features for an AI-powered web application, working across the stack and integrating AI models to transform insurance processes.

The role focuses on optimizing coding practices and collaboration within the engineering team, improving internal tooling, and communicating between teams and leadership.

Design, implement, test, and maintain TypeScript-based frontend (React) and backend services. Build and operate APIs and cloud infrastructure (IaC), participate in on-call incident response, write automated tests, perform code reviews, mentor junior engineers, and collaborate with product, design, and security teams to deliver scalable security features.

Develop, review, and maintain full-stack .NET web applications across the FacilityOS platform. Participate in code reviews, use static analysis tools, troubleshoot staging/production issues, collaborate with engineering and project managers, and research platform improvements.

Lead design and build of a real-time observability and root-cause analysis system for high-density GPU fabrics. Collect, reduce, correlate telemetry from switches, hosts, NICs, GPUs, and services; model topology and ownership; separate fabric faults from host/driver/RDMA/scheduler issues; and produce operator workflows for triage and remediation.

Build AI-native, full-stack features end-to-end using Go, React, and TypeScript. Invent developer-facing interfaces for autonomous pipelines, prioritize reliability, observability, and operate distributed services using Honeycomb, Datadog, and Rollbar.

Design, build, and iterate on fullstack systems for AI agents. Collaborate with teams to enhance UX and contribute to internal best practices while engaging in research related to AI technologies.

Develop and maintain client software systems, design user-friendly interfaces, communicate technical issues, conduct testing, and document processes.

Design and develop software solutions for order management and catalog applications, perform requirement analysis, programming, and unit testing.

The Intermediate Software Engineer will collaborate with a Scrum team to develop features, write scalable code, participate in code reviews, and utilize AI tools while focusing on customer needs.

Provide technical leadership and architecture direction for enterprise SaaS platforms and distributed systems. Lead cross-team initiatives, drive scalability, reliability, security, observability, and platform modernization. Influence technical strategy, run architecture and design reviews, reduce technical debt, and mentor senior engineering staff.

The role involves designing, developing, and maintaining full-stack applications on AWS, implementing backend services and APIs, building user interfaces, and applying secure coding practices.

Join Sync as a Software Developer to design and deploy full stack applications, focusing on cloud integration, microservices, and security in an agile environment.

You will develop high-performance quantum software components, build benchmarking tools, and lead best practices in software development processes.

Develop high-performance software for optimizing quantum hardware. Responsibilities include authoring libraries, enhancing communication protocols, benchmarking, and ensuring software quality.

Develop and maintain JIT and AOT hybrid compilation pipelines for PennyLane, focusing on algorithm implementation, R&D for hardware platforms, and software quality.

You will develop and expand pennylane.ai, collaborate with teams, maintain high code standards, and architect scalable frontend systems.

As a Software Engineer, you will create tools and pipelines for AI development, manage data solutions for ML teams, and ensure high-quality code.

Design, build, and operate Kubernetes cluster management tooling and developer-facing workflows. Deliver compute capabilities (jobs, cron, deployments, EFS, right-sizing), automate toil, improve observability and incident response, and partner with Security/Reliability teams. Apply AI tooling to improve infrastructure automation and developer productivity.

Design and build a next-generation reliability platform for production systems, lead delivery of quarterly goals, collaborate across product/design/analytics, support operations and on-call, set code and design standards, mentor engineers, and integrate AI/LLM-assisted tooling to improve service health and debugging.

Lead and deliver backend batch infrastructure work: own quarterly goals, design and build reliable scalable compute for batch workloads, collaborate with product and stakeholders, run ops/on-call, set code/design standards, mentor engineers, and drive platform reliability and performance.

Build and own end-to-end backend systems for forecasting and agentic LLM research: design, deploy, monitor, debug, and harden features and pipelines (benchmarks, agents, production services). Prototype quickly, work with LLM APIs and coding agents, and collaborate with researchers to improve evaluation and forecasting tools.

Company culture-oriented posting with no role-specific responsibilities listed. Position title suggests a senior software architect/developer role, but no technical duties, stack, or deliverables are provided.

Lead backend engineering for cloud-native, event-driven data pipelines and customer integrations (especially EHRs). Evolve core data models and APIs, improve scalability and reliability, mentor engineers, define best practices, and drive end-to-end testing and AWS-based solutions.