Top Software Engineer Jobs in Toronto

As a Full Stack Software Engineer at EverPro, you will design, build, and maintain components, collaborate within an agile team, and ensure software quality through testing and feedback.

Lead Android-first development of growth experiments and features, using AI-native workflows to design, implement, instrument, and analyze A/B tests. Ship performant, reliable Android experiences at scale, mentor teammates, participate in on-call, and codify AI-native engineering playbooks for broader adoption.

Lead design and delivery of SRS platform capabilities for managed databases at scale: schema automation, CDC/event streaming, fleet operations, monitoring, capacity and load optimization, tooling, runbooks, migrations, and cross-team technical alignment and mentoring.

Design and build authentication, authorization, and audit platform services (RBAC/ReBAC, token issuance, session handling), implement SAML/SCIM/OIDC/OAuth2/MFA flows, ship SDKs and APIs, operate distributed systems at scale, build audit telemetry, and support migrations and on-call production reliability.

Develop and maintain scalable APIs, microservices, and distributed systems for Autodesk's data infrastructure, ensuring high-availability and efficiency in complex environments. Collaborate with cross-functional teams to turn business needs into effective systems and mentor junior engineers.

Design and implement infrastructure solutions for reliable, scalable data-intensive systems, optimize PostgreSQL databases, and enforce Infrastructure as Code best practices.

The Senior Software Engineer will design, build, and implement features for Centari's platform, using React and Go. This role involves full lifecycle project engagement, collaboration with team members, and dealing with LLM technologies.

As a Senior Backend Software Engineer, you'll design and build core AI technology, write code, interact with customers, and lead projects at Centari.

Design and develop platform capabilities, optimize performance, and improve deployment processes. Collaborate on engineering quality and foster an innovative culture.

As a Senior Software Engineer, you'll build a core platform for agent-native operations, focusing on design, reliability, and safety in AI systems while collaborating with cross-functional teams to implement impactful workflows.

The SDET will design and maintain automated testing frameworks, collaborate with teams to define testing strategies, write automated tests, and mentor junior team members.

The Senior Software Engineer will enhance customer experiences, solve coding challenges, and design solutions using C# in a cloud environment, participating in agile processes and following SDLC practices.

Design and build scalable ETL data pipelines and RESTful APIs/microservices. Improve performance, monitor and troubleshoot data flows, ensure data security/compliance, write tests, and collaborate cross-functionally.

Lead architecture and development of an internal agentic AI research platform and automation systems. Build scalable, reliable pipelines, SDKs, APIs, and developer-facing tools; enforce engineering standards, mentor engineers, and partner with researchers to translate needs into production-ready developer tools and services.

Design and implement scalable ETL/data pipelines using Python and Airflow; collaborate with technical and non-technical stakeholders to define requirements; build internal tools; mentor and lead small engineering pods; ensure reliable integration architecture and database schema/performance optimization; explore and apply AI technologies to enhance the platform.

Design, build, and deploy complex distributed microservices and cloud-based systems. Implement RESTful APIs, third-party integrations using SDKs, and manage package release cycles (CI/CD). Work with AWS/GCP, NoSQL (MongoDB/Elasticsearch) and SQL databases while providing technical leadership and strong cross-team communication.

Design, build, and deploy complex distributed systems and third-party integrations. Lead microservices development, implement RESTful APIs, work with cloud infrastructure (AWS/GCP), CI/CD, and both NoSQL and SQL datastores.

Design, build, and operate core control plane systems that manage customer identity, placement, replication, and lifecycle across a multi-cell distributed architecture. Improve reliability, scalability, observability, and provide infrastructure primitives and APIs. Partner with teams, respond to incidents, and ensure safe global platform operation.

Lead design and implementation of production AI/LLM systems and scalable FastAPI backends, implement embedding-based semantic search with PostgreSQL/pgvector, build WebSocket real-time collaboration, own GCP/Kubernetes infrastructure (KEDA, Terraform), and mentor engineers while driving architectural decisions and feature rollouts.

As a Senior Software Engineer, you'll build the core infrastructure for AI agents using Redis, write Go code, and shape product direction while operating with high autonomy.

Responsible for designing and maintaining build and release pipelines for autonomous driving software, optimizing development workflows, and collaborating with teams.

As a Junior Software Engineer, you will develop full stack features for an AI-powered web application, integrating AI models and collaborating with senior engineers. Responsibilities include building backend services and creating user experiences while participating in design discussions and code reviews.

As a Senior Software Engineer, you will design and implement backend components for a distributed vector database, optimize performance, and collaborate on real-time analytics systems.

Design and deliver scalable software applications focused on preconstruction bidding and risk management, leveraging AI for enhanced decision-making and collaboration with cross-functional teams.

The Senior Software Engineer will develop and enhance ClickHouse's Python connector and SDK ecosystem, focusing on integration with orchestration and transformation tools, while engaging with the open-source community and driving AI/ML integration strategies.