Top Software Engineer Jobs in Toronto

Design, build, and scale Sentry's billing infrastructure and usage-tracking pipeline to process massive event volumes with low latency and financial-grade accuracy. Create flexible pricing primitives, address distributed data consistency (delays, retroactive pricing, reconciliation), and collaborate with product, finance, and BizOps to ensure revenue correctness and enable new pricing models.

As a Senior iOS SDK Engineer, you will lead the development of Sentry's iOS SDK, innovating features and designing APIs while leveraging advanced Apple technologies and ensuring robust architecture for high scalability.

Lead design and implementation of Sentry's Events Analytics Platform, improving search and storage performance at petabyte scale. Architect and automate scalable services, make trade-offs, review code, collaborate with Product and Engineering, and improve maintainability and developer experience.

Build and scale back-end systems and real-time bidirectional EHR integrations; grow data processing and storage from terabytes to petabytes; own end-to-end cross-functional projects; improve core systems and DevOps for 100x growth; partner with product and engineering leadership to set technical direction.

Lead architecture and hands-on implementation of a cloud-native, multi-tenant SASE control plane and orchestration for globally distributed gateways. Design scalable, resilient multi-region systems, define multi-tenancy models and APIs, partner with data-plane teams, establish CI/CD and IaC standards, mentor engineers, and optimize platform cost and operational efficiency.

The Senior Software Developer will develop innovative software solutions, mentor a team, optimize code, and ensure high-quality deliverables within a collaborative environment.

The Senior Software Developer will design and implement complex features, ensure code quality, mentor engineers, and improve development processes and systems performance.

As a Senior Backend Software Engineer, you'll enhance the AI-driven contract management platform by collaborating with teams, optimizing code, and ensuring platform performance through API development and monitoring strategies.

As a Senior Software Engineer at Trader Corporation, you'll modernize systems for fraud detection and risk analysis, drive architectural decisions, and mentor other engineers, impacting the automotive ecosystem across Canada.

The Principal Engineer will design scalable backend services and APIs, optimize performance, and improve developer experience while collaborating with AI/ML experts and legal specialists.

As a Lead Software Engineer, you will design AI-driven backend systems for accounting, integrating LLMs, ensuring performance and security, and collaborating with teams on AI solutions.

As a Staff Software Engineer, you'll design scalable backend services, oversee architecture decisions, optimize performance, and enhance CI/CD processes while collaborating with teams.

The Staff Software Engineer will lead the design and implementation of the ingestion and indexing pipeline for a search platform, ensuring operational health and scalability while leveraging distributed systems and AI technology.

Design and implement scalable, low-latency backend systems for Lyft Pricing. Lead multi-person projects, write maintainable and tested code, mentor teammates, participate in incident response, and collaborate with Product and Science on pricing solutions.

Lead development of web tools for autonomous driving, mentor engineers, and collaborate on technical architecture, focusing on responsive applications and cloud infrastructure.

The Sr. Software Engineer will develop AI compiler technologies, optimizing models for Tenstorrent hardware, and engage in collaborative problem-solving with a focus on open-source contributions.

Drive architecture and implementation of an internal AI/agent platform: design agent runtimes and SDKs, define eval-driven release gates, safety, telemetry, and AuthX, partner with product teams to integrate reusable capabilities, set standards for prompt management and observability, write and ship production code, and mentor engineers.

Build and maintain scalable search, notification, and audit-logging backend services. Design and implement MCP tools, optimize performance and reliability, write well-tested Go code, collaborate on product requirements, mentor junior engineers, participate in on-call rotation, and contribute to platform architecture and roadmap.

Lead architecture and development of a centralized IAM platform: design authentication/authorization, governance, RBAC/ABAC, multi-tenant support, APIs and integrations, drive platform adoption, ensure security and compliance, and mentor engineers.

Lead architecture, design, and implementation of post-trade applications across full stack. Partner with trading and operations to deliver, deploy, and support high-quality, observable production systems; mentor engineers and participate in on-call rotations.

Lead design, implementation, and ownership of enterprise-grade identity governance features. Build scalable, secure distributed systems, ship production-quality code, triage customer issues, and collaborate with product, QA, and SRE to ensure reliability and performance.

Design and build high-performance, scalable Angular front-end web applications. Implement UI interactions, client-side architecture, consume REST APIs, perform prototyping, code reviews, unit testing, and apply secure, cloud-native and CI/CD practices. Collaborate cross-functionally and contribute to both visual and server-side integration.

Develop and enhance robust software solutions, improve software stability, manage technical debt, and collaborate in an agile environment.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

We are seeking a product-minded backend engineer to work on our Customer Studio product, focusing on data performance, analytics, audience syncing, and generative AI. The role requires strong architecture, scalability considerations, and product engagement.