Top Software Engineer Jobs in Toronto

The Software Engineer will work on high-throughput streaming systems, scaling infrastructure to manage billions of events, ensuring low-latency and high performance while delivering projects from start to finish with significant ownership.

The role involves rapid prototyping and architecting production LLM pipelines for AI in marketing workflows. Responsibilities include developing proofs of concept, making AI architecture decisions, building production data agents, and understanding user workflows for seamless AI experiences.

Develop and maintain the Keycard Agent SDK, ensuring compatibility with various languages and frameworks, while engaging with the developer community to enhance agent applications.

As a Software Engineer at Keycard, you'll design, develop, and implement identity and access infrastructures for dynamic, agent-native systems. You'll work on innovative projects that enhance developer experience and security, collaborating closely with a distributed team.

Join Canonical as a graduate software engineer to write high-quality code across the open source stack, work on Linux system-level and application projects, engage with communities, respond to customer issues, and develop security-aware software while collaborating remotely and attending biannual in-person team sprints.

The Staff Software Developer will lead design and implementation of features, mentor junior engineers, and create scalable geospatial solutions using the ArcGIS stack.

Design and implement MAC control-plane software for satellite point-to-point and point-to-multipoint links. Develop schedulers, admission-control, state machines, QoS, flow control, and link-adaptation logic. Define interfaces to PHY/modem/hardware, evaluate centralized vs. distributed architectures, build simulation and test capabilities, and lead development through hardware integration, qualification, and deployment.

Build and maintain a scalable document-processing platform supporting AI products and customer-facing applications. Design client-facing REST APIs using an API-first approach, develop cloud-native services with C# and .NET, and work with AI/ML and LLM technologies. Provide technical leadership through mentoring, code reviews, and architectural decisions while collaborating with engineers, product managers, scientists, and legal experts. Participate in testing, monitoring, incident management, and on-call rotations.

Design, build, and deploy production-grade legal AI solutions by translating legal user needs into robust software. Collaborate with AI engineers, apply prompt/LLM evaluation, use DevOps and Infrastructure-as-Code, practice TDD, mentor junior engineers, lead agile projects, and deliver end-to-end solutions for law firms and legal departments.

Design, develop, test, deploy, and support enterprise mainframe applications and batch processing solutions. Troubleshoot production incidents, perform root cause analysis, participate in code reviews, and follow enterprise SDLC, release, and control standards. Drive continuous improvement, automation, and modernization while collaborating with engineering, operations, and business stakeholders.

Design, develop, and maintain scalable full-stack features for SOTI XSight using C#, .NET, TypeScript, and Angular. Drive architecture, integrate analytics/AI, mentor developers, troubleshoot complex issues, and collaborate with stakeholders to deliver high-quality, cloud-ready solutions.

Develop, test, debug, and maintain complex full-stack software components. Analyze system and coding needs, translate requirements into technical specifications, design solutions, write unit and integration tests, support regression testing, and resolve application issues. Review code and designs, provide level-one production support, and guide project team members to deliver high-quality software on schedule. GenAI development experience is an asset.

Design, develop, and deploy Java and Spring Boot backend applications using MongoDB. Build and integrate AI agents with Google ADK and apply prompt engineering techniques to large language model solutions. Support feasibility studies, estimation, planning, testing, implementation, security, compliance, and business-user operations. Serve as an application development subject matter expert while managing projects independently and advising senior stakeholders.

Design, develop, test, and productionize scalable AI features for mobile and IoT device management products. Integrate advanced models, optimize performance and reliability, investigate defects, write automated tests, and contribute across the software development lifecycle. Provide technical guidance, architecture expertise, code reviews, and leadership in C# and .NET while collaborating with multidisciplinary product teams.

Design and develop software to automate bare-metal configuration, orchestration, scheduling, and job placement for large wafer-scale clusters. Build upgrade/patch workflows, monitoring, HA failure handling, visualization and alerting, and user/admin tools. Ensure on-premise and cloud deployment support and develop tests and debugging tools for distributed systems.

Build, productionize, and optimize a GPU-based inference stack combining GPU prefill with Cerebras decode. Implement and operate model-serving APIs, vLLM/PyTorch/ROCm runtimes, deployment and reliability practices, performance profiling and optimization, cross-layer debugging, numerical validation, and benchmarking/infrastructure for production inference at scale.

Design, build, test, and ship software improving service availability, scalability, latency, and efficiency. Automate operational work, define SLOs, implement observability, troubleshoot production systems across applications, Linux, and networks, lead postmortems, plan capacity and costs, document systems, and participate in shared-infrastructure incident response.

Analyze and reverse-engineer legacy Java code and backend services supporting capital markets platforms. Identify dependencies, data flows, and modernization needs; redesign and migrate functionality to the current architecture; troubleshoot undocumented systems; collaborate with front-office technology, developers, and business stakeholders; preserve business functionality during migration; and support legacy infrastructure decommissioning.

Defines and evolves the long-term technical roadmap, sets architecture and engineering standards, guides AI adoption in development workflows, prioritizes technical debt, strengthens CI/CD and quality practices, leads design reviews, develops senior technical talent, and supports hiring. The role requires strategic leadership alongside hands-on technical execution across scalable SaaS systems.

The Software Engineer in Platform Operations will design and implement core Infrastructure-as-Code solutions, manage cloud infrastructure services, and collaborate with software teams to enhance developer experience.

As a Full Stack Software Engineer at Doxel, you will design and develop full-stack applications, collaborating cross-functionally to optimize user experiences and facilitate data processing for construction projects.

Build and scale backend systems for Lyft’s Recommendations team, including pipelines and services that use rider context and signals to surface relevant offers. Responsibilities include system design, coding, code reviews, on-call support, project delivery, engineering best practices, mentoring, and promoting AI-assisted development. The role requires Python and Go, cloud platforms, distributed systems, databases, and strong collaboration skills, with bonus experience in ML serving, recommendation systems, feature stores, or experimentation.

Develop and maintain backend services and data pipelines to support AI/ML and GenAI workflows. Build and consume secure, scalable APIs, work with microservices on Kubernetes, collaborate on design and code review, and grow applied ML skills under senior mentorship.

Build and maintain full-stack features for customer and internal web apps, design backend APIs for onboarding and transactions, integrate third-party services, implement OAuth2 authentication, operate in a microservices AWS environment, ensure security, performance, observability, participate in code reviews and architecture, and write technical documentation.

Senior hands-on full-stack engineer who leads architecture, drives cross-team technical roadmaps, implements scalable Django/React systems, improves CI/CD and testing practices, mentors engineers, and partners with product, clinical, and executive stakeholders to translate business needs into durable technical solutions.