Top Software Engineer Jobs in Toronto

Develop and enhance core banking applications through requirements analysis, coding, testing, debugging, documentation, deployment, and production support. Partner with business and technical stakeholders to deliver scalable solutions, improve processes, automate workflows, and enhance user experience. Participate in code reviews, technology roadmap discussions, continuous improvement initiatives, and an on-call rotation for troubleshooting critical production systems.

Build and scale backend systems for Knak’s AI-powered marketing automation platform. Develop Laravel APIs, Python and Node.js AI microservices, and scalable AWS infrastructure. Optimize MySQL databases, support observability and performance, maintain code quality through testing and reviews, collaborate cross-functionally, contribute to architecture decisions, and mentor engineers.

Develop and maintain AV automation tools and distributed test platforms to measure device audio/video quality. Build front-end and backend services, operationalize AV metric pipelines, and collaborate with internal teams and external vendors to validate device capabilities and roll out AV-related applications.

Build and maintain internal AI enablement tools, workflows, and guardrails to help engineers use coding agents and LLMs safely. Evaluate models, partner with teams to apply AI, track adoption and impact, and provide documentation, coaching, and advocacy to increase engineering velocity.

Own end-to-end full-stack features using Next.js/React, NestJS GraphQL, and .NET/C#. Design, deploy, and operate services on AWS/EKS via CI/CD. Use AI tools to accelerate development, collaborate with product and distributed teams, contribute to architecture, mentor engineers, and participate in on-call rotations to support production.

The role involves leading financial analysis for technology spend, designing data models, developing visualizations, and ensuring data quality, while collaborating with internal stakeholders across the company.

Lead design and delivery of scalable, secure solution architectures for Capital One's travel portal. Create ADRs and HLDs, participate in governance, maintain capability catalogs, evaluate new technologies, collaborate with stakeholders, mentor teams, and ensure solutions meet architectural and security standards in a regulated environment.

Lead full-stack design and development for Capital One's travel portal across front-end and back-end. Own architecture, apply HLD methodology, establish engineering best practices, mentor junior engineers, and improve developer experience while working through the SDLC on fault-tolerant, multi-platform systems.

Lead company-wide technical strategy for software quality and reliability. Drive cross-team initiatives, establish architecture and engineering standards, build shared platform capabilities (release safety, automated validation, observability), improve testability and resilience, define reliability metrics, lead multi-team programs, and mentor engineers to raise organizational reliability practices.

Lead end-to-end development and production ownership of AI-driven backend capabilities and LLM/voice agent workflows. Improve reliability, observability, security, and operational maturity while iterating quickly from customer feedback and scaling team delivery.

Build and maintain cloud-native microservices for Guidewire's P&C insurance platform using Java/Spring and AI-assisted development tools. Collaborate in agile teams, design APIs, ensure code quality with tests and CI/CD, and integrate AI patterns to improve product reliability and scalability.

Build and maintain highly scalable, low-latency microservices in Go to ingest, process, and manage user profile and audience data. Implement event-driven systems with Kafka, work with distributed stores (ScyllaDB, TiDB, Redis), optimize performance and memory, and collaborate with Product, ML, Data, and Infrastructure teams.

Develop and optimize distributed software systems for AI and HPC clusters, focusing on inter-node communication and scalable architectures.

Design, implement, and maintain TT-Fabric, a low-level high-performance networking library for large-scale AI clusters. Build scalable communication protocols, optimize synchronization and data movement for thousands of processors, integrate APIs with AI and hardware teams, and help define the distributed systems architecture to maximize hardware performance.

As a Software Engineer, you will design and implement scalable infrastructure systems for AI-powered security solutions, optimize performance, and improve deployment practices across cloud environments.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

Lead design and delivery of scalable backend features, mentor engineers, ensure operational excellence and system reliability, collaborate cross-functionally, and drive architecture and automation improvements.

Develop and optimize full-stack software and algorithms for robotic manufacturing systems. Design, implement, test, and integrate AI-driven software, run experiments to improve performance, participate in design and code reviews, and collaborate cross-functionally to deliver robust, scalable solutions.

The Software Developer will design optimization software, develop features, analyze algorithms, and collaborate with R&D teams to enhance product quality.

As a Software Engineer at Canonical, you will design, build, and ship software, improve packaging and distribution processes, and mentor colleagues while contributing to open source projects.

The Junior Ubuntu Software Engineer will design, build, and ship software, focusing on quality and resilience, while engaging with the open source community.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Design, build, and productionize LLM-powered systems (adaptive content, tutors, evaluators) and AI pipelines (RAG, embeddings, fine-tuning). Prototype and optimize models across modalities, define AI safety/evaluation/observability practices, and collaborate with product and engineering to measure learner outcomes and iterate.

Design and implement security and privacy features across Tailscale's codebase. Audit features for vulnerabilities, perform threat modeling and security analysis, drive mitigations to resolution, and spend significant time writing secure software (50%+ coding). Collaborate with engineering teams to promote secure coding and provide guidance and training.

Build, operate, and scale cloud-native backend services and APIs for a high-volume vehicle marketplace. Embed AI-driven capabilities into features, use AI tools to accelerate development, participate in on-call rotations, improve reliability, and collaborate with Product, Data, Infrastructure, and SRE teams to deliver production-ready systems.