Top Software Engineer Jobs in Toronto

Staff Software Engineer responsible for setting technical direction, leading complex initiatives, partnering with product and design, mentoring engineers, and owning reliability, performance, observability, and on-call operations. The role spans backend data models and asynchronous processing through frontend design systems and visualizations. Required experience includes 10+ years of full-stack software development, Ruby, PostgreSQL, React, TypeScript, scalable relational systems, and AI-assisted development practices.

Design and build real-time, highly concurrent software and cloud-native systems for an AI-powered emergency communications platform. Integrate and deploy LLMs, optimize voice and audio-processing pipelines, and support speech recognition, synthesis, detection, and filtering. Contribute to infrastructure, observability, security, scalability, and fault tolerance. Provide technical leadership through architecture decisions, code reviews, mentoring, and engineering best practices.

Designs and builds scalable, reliable, observable batch and streaming data pipelines and models. Partners with stakeholders on data integration, validates data quality, writes tests, participates in code reviews, documents solutions, troubleshoots production issues, and aligns technical work with business needs. The role requires strong programming, database, data modeling, governance, and Databricks knowledge, with preferred experience in Spark, AWS data services, CI/CD, testing, orchestration, and transformation frameworks.

Lead architecture and development of secure, high-scale Python and FastAPI payment infrastructure for AI-agent transactions. Design APIs for tokenization, mandates, authentication, attestation, and cryptogram workflows; own security, reliability, observability, testing, Kubernetes provisioning, and production operations. Drive technical initiatives, design reviews, and cross-functional collaboration with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.

Build and modernize the Nylas Dashboard and related full‑stack product surfaces. Own frontend shell, shared components, backend APIs, data models, permissions, and integrations. Implement AI-native and agent-facing experiences, optimize performance, improve onboarding and observability, and create reusable platform patterns while partnering with product, design, backend, and customer-facing teams.

Join Zip's Core Infrastructure team to design, build, and operate global multi-region architectures. Own infrastructure components such as Kubernetes, AI infra, observability, deployment pipelines, and cost optimization. Collaborate with engineering teams to ensure scalable, reliable systems and support Zip's product roadmap.

As a full-stack software engineer intern, you'll collaborate with senior engineers to write quality code, build AI-driven products, and improve engineering productivity.

Build and optimize backend services, APIs, databases, and high-performance compute models. Develop systems in C# and Java and optimized C++ simulation code using concurrency, synchronization, multiprocessing, and numerical methods. Design IPC mechanisms, profile performance-critical workloads, contribute to architecture and code reviews, mentor engineers, and support testing and CI/CD. Preferred experience includes parallel computing, scientific or geospatial modeling, cloud infrastructure, containers, observability, and high-throughput pipelines.

Build and maintain scalable financial data infrastructure, including ingestion, validation, normalization, and integrations. Develop systems that calculate portfolio performance metrics efficiently across high-volume datasets, improve reliability and observability, and support distributed processing. Create internal tools, dashboards, reusable schemas, asset data feeds, and self-service analytics capabilities. Collaborate cross-functionally to expand market-data coverage, support B2B integrations, and strengthen operational resilience.

The Staff Software Engineer, Backend for Capacity Modeling develops scalable backend systems, maintains capacity models, and collaborates on technical strategies while ensuring system availability and high-quality code delivery.

Lead technical direction for developer platform tooling: CI/CD, build systems, and AI coding agents. Design, build, and scale AI agents for coding, code review, testing, release automation, and incident response. Standardize tools, mentor engineers, drive cross-team technical projects, and represent the platform externally.

Lead design and implementation of scalable, secure solution architectures and high-level designs. Create ADRs/HLDs, participate in governance, evaluate technologies, collaborate with stakeholders, mentor teams, and ensure compliance with architectural and security standards.

Design and review scalable, secure solution architectures and high-level designs. Lead ADRs, governance reviews, and cloud-based solutions. Collaborate with stakeholders, mentor teams, and ensure alignment with architectural and security standards.

Lead design and delivery of scalable, secure Android solutions. Provide hands-on development, architecture, and technical strategy. Mentor engineers, influence architectural roadmaps, and collaborate with cross-functional teams to align technology with business goals.

Design and oversee scalable, secure solution architectures and create ADRs/HLDs. Lead governance reviews, maintain a technical/business capability catalog, evaluate new technologies, collaborate with stakeholders, and mentor teams to adopt architectural best practices and continuous improvement.

Build and maintain backend computation engines for solar and electrical design. Develop simulation and optimization capabilities for photovoltaic and battery systems, translate physical models into scalable software, shape computation infrastructure, and own services through production. The role includes technical feature leadership, architecture, testing, code reviews, mentoring, cross-functional collaboration, and on-call support.

Develop and maintain the Invoice Simple platform, including CI/CD pipelines, deployment processes, infrastructure automation, and production software. Partner with application teams to improve architecture, reliability, observability, and operational readiness. Design, implement, and ship features; investigate incidents; and prevent recurring issues through technical improvements. The role requires strong cloud, Kubernetes, distributed systems, database, TypeScript, and JavaScript expertise.

Build a vendor-agnostic agent platform and runtime primitives, implement evaluation, reliability, safety, and governance tooling, and develop data grounding, retrieval, and memory systems to support agentic workflows and model serving in production.

Design, implement, and maintain backend services and web applications on a Microsoft stack; build front-end features with React; write well-tested, secure code; collaborate with product and design; participate in code reviews and improve CI/CD/DevSecOps pipelines.

Build end-to-end features for an agentic AI media manager: design APIs, backend services, agent logic, data models, and customer-facing interfaces; use AI coding tools, test and operate production systems, work directly with customers, and iterate on agent reliability, guardrails, and human approval flows.

As a Staff Software Engineer, you will lead technical strategies, drive architectural decisions, mentor engineers, and develop consumer banking solutions using various technologies.

Lead and deliver your team's quarterly goals, guide engineers through ambiguous problems, and collaborate with product, design, and analytics. Identify and resolve technical, process, and operational issues, support availability and on-call, enforce code and design quality, and mentor team members to grow talent and maintain high engineering standards.

Sets technical direction for Helix’s Experience platform and broader engineering organization. Designs and implements distributed, full-stack genomic software systems focused on patient and provider experiences. Leads complex projects from scoping through production, advances AI-assisted engineering practices, establishes quality and delivery standards, mentors technical leaders, and drives cross-functional collaboration with product, design, research, scientific, and business teams.

Lead design and review of scalable, secure solution architectures and HLDs. Drive architectural governance, create ADRs, collaborate with stakeholders, mentor teams, and align technical capabilities with business objectives in a cloud-first environment.

Develop scalable web applications using React and Next.js, implement backend solutions in Python, maintain DevOps practices, and collaborate with AI/ML teams to deploy applications.