Top Software Engineer Jobs in Toronto

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 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 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.

Lead development of Luminai’s core platform, including shared frameworks, developer tooling, CI/CD, test infrastructure, observability, reliability, and IDE improvements. Architect high-performance backend systems, remove engineering bottlenecks, and establish secure defaults for authentication, authorization, and secrets management. Drive foundational technical initiatives and improve developer experience across the engineering organization.

Design, build, and maintain Luminai’s core platform infrastructure, backend services, shared libraries, internal APIs, and deployment systems. Lead projects that improve scalability, reliability, developer workflows, CI/CD, testing, and local development. Strengthen production systems through secure authentication, access controls, secrets management, code review, testing, and maintainable engineering practices.

Design, implement, and maintain scalable Java-based software solutions. Collaborate across the SDLC with stakeholders and development teams, integrate DevOps and CI/CD practices, support operational tasks, ensure security and performance, drive feature development, conduct code reviews, and stay current with emerging technologies.

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.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.

The role involves using AI tools to rapidly develop software, working across product and engineering teams, and owning software projects end-to-end.

This role requires shaping technical direction, leveraging AI tools for production systems, and making crucial decisions to align product intent with engineering realities.

Architect and build core distributed systems for high-throughput real-time and batch data ingestion, processing, and storage. Ensure fault-tolerance, scalability, and strong query performance for time-series and spatial data. Develop automated tooling for data quality and lineage, collaborate on reusable abstractions, and write production-ready code (Java/Python).

Build and maintain cloud-native services, APIs, and platform capabilities. Design, implement, test, and troubleshoot scalable SaaS/backend systems. Collaborate with product, UX, and engineering teams, participate in code reviews, agile delivery, and continuous learning.

Design, develop, and maintain core components of the Securities Finance and Collateral Management platform within an agile squad. Improve test automation and integration test coverage, promote TDD/BDD, participate in code reviews and mentoring, apply secure coding standards, and support platform reliability and regulatory security requirements.

Lead design and delivery of the integrations platform supporting 250+ integrations. Build APIs, integrations, tooling, and observability; engage customers; optimize performance and scalability; set architectural direction and best practices.

Lead design and implementation of a scalable data platform handling petabytes of telematics and time-series data. Build and optimize streaming and batch pipelines, design storage solutions, implement observability and data lineage, manage HA infrastructure, and write maintainable Java/Python code while shaping long-term architectural strategy.

The role involves building and optimizing big data pipelines, designing data architectures, collaborating with data scientists, and driving technical strategy for data processing infrastructure.

Design, build, and maintain scalable data pipelines and tenant-aware APIs to ingest and transform data from ad platforms, order systems, and real-time events. Ensure reliability, observability, and maintainability across event-driven and batch architectures, implement authentication flows, optimize data workflows in a cloud-native environment, and collaborate with product, infrastructure, and data teams to onboard new sources.

Build and scale core research infrastructure and agentic systems across backend, frontend, and model integrations. Own reliability, observability, and performance; ship research-proven features to production rapidly and develop shared tools and SDKs to accelerate Research, QA, and Engineering.

Lead design and delivery of self-service platform capabilities: provisioning, deployment, observability, and multi-region networking. Drive RFCs and cross-team alignment, build APIs (primarily in Go), implement Terraform/GitOps flows, improve EKS reliability and Grafana-based SLOs, and reduce operational toil via safe, auditable automation. Own on-call rotation and platform adoption outcomes.

As a Senior Software Engineer at Ayama, you will build and improve AI-based systems, design data pipelines, and develop full-stack product features. This role requires strong architectural judgment and hands-on experience with optimization problems and large-scale data processing.

As a Senior Software Engineer, you'll own product features, design scalable systems, mentor teammates, and ensure engineering excellence, focusing on real-time workflows for the Dialer team.

As a Senior Full Stack Software Engineer, you will own product features, design scalable systems, mentor teammates, and ensure coding excellence while collaborating with cross-functional teams.