Top Software Engineer Jobs in Toronto

Build and operate platform security services for Auth0 using Python, Node.js, or Golang. Design scalable security data pipelines, resilient microservices, cloud integrations, and platform security controls. Apply secure coding practices, manage service permissions, participate in technical design and code reviews, and maintain high engineering standards across AWS or Azure containerized environments.

Develop and maintain secure, reliable, high-performance web and desktop applications, cloud services, APIs, microservices, and production systems. Collaborate with product managers, architects, and Scrum teams to deliver iterative enhancements. Contribute to software architecture, testing, monitoring, incident response, documentation, and on-call support. Use AI-assisted development tools to improve productivity and code quality.

Lead architecture, development, modernization, security, and production operations for Okta’s large-scale Integration Network platform. Design APIs, data models, integration frameworks, and distributed systems while managing ambiguous, cross-team initiatives. Drive technical decisions, observability, vulnerability remediation, incident follow-up, and AI-assisted engineering practices. Mentor engineers and influence technical direction across product, architecture, and engineering teams.

Build the Identity Security Fabric for AI agents by designing scalable backend services, authorization policy engines, delegated identity validation, MCP and OAuth integrations, and comprehensive audit logging. Shape technical strategy, improve reliability and AI-native development practices, partner with product and design, and mentor engineers. The role requires expertise in distributed systems, secure enterprise software, authentication, authorization, and Java or another type-safe language.

Develop and maintain full-stack applications and backend services for the Threat Intelligence team using Python, TypeScript, React, and Go. Manage PostgreSQL databases, AWS infrastructure, CI/CD, observability, monitoring, reliability, and operational automation. Collaborate with engineering and threat intelligence stakeholders to deliver actionable intelligence capabilities.

Lead full-stack development of growth, sales, and product tooling, experimentation infrastructure, and AI- and LLM-powered workflows. Partner with cross-functional teams to translate business needs into scalable technical solutions, drive greenfield projects, shape roadmaps, and improve system architecture. The role includes technical leadership, design reviews, mentorship, and collaboration in a hybrid office environment.

Leads the architecture, development, delivery, and production support of scalable full-stack web applications across web, commerce, and marketing platforms. Provides technical leadership across teams, drives system design and quality practices, improves performance and observability, resolves complex integration issues, mentors developers, and influences engineering standards without direct authority.

Leads the architecture and development of SAP ABAP integrations between SAP ECC, S/4HANA, and compliance products. Responsibilities include guiding development teams, designing scalable solutions, maintaining coding standards, adopting SAP technologies and AI-assisted development practices, collaborating with global teams and SAP, supporting go-to-market activities, and engaging customers. The role requires deep SAP ABAP, integration, web services, enhancement, clean-core, and leadership expertise.

Owns the architecture, development, testing, deployment, and monitoring of scalable Okta Identity Governance features. Designs distributed systems and enterprise SaaS capabilities with strong reliability, performance, security, and multi-tenancy requirements. Collaborates across engineering, product, design, QA, and SRE teams; resolves customer issues, delivers production-ready code, and drives technical alignment across stakeholders.

Develop and maintain Okta’s enterprise access governance platform at scale. Own features end to end, including architecture, implementation, testing, deployment, monitoring, bug fixes, and customer issues. Design reliable, secure, scalable distributed systems using microservices, event-driven architectures, APIs, and data modeling. Collaborate with product, design, QA, and site reliability teams while influencing technical decisions across stakeholders.

Lead architecture and high-risk technical work across interconnected systems. Drive ambiguous cross-team initiatives from problem definition through measurable outcomes, connect technical decisions to customer and business priorities, establish engineering standards and tooling, influence teams without formal authority, and coach engineers into greater ownership. The role contributes to technical direction for fintech products and improves reliability, security, maintainability, delivery, and operational effectiveness across Engineering.

Build and own full-stack banking product features from design through deployment and monitoring. Manage production systems, infrastructure, scalability, reliability, and performance. Collaborate with Product, Design, and engineering teams, mentor junior engineers, improve code quality and development processes, and influence technical direction. The role uses TypeScript, React, Node.js, AWS, Terraform, and related cloud and development tools.

Build and deploy secure, reusable LLM infrastructure across its lifecycle; lead emerging-technology research and proof-of-concepts; enable engineering teams with AI tooling and guidance; advise product teams on technical decisions; and improve code quality, performance, processes, and long-term technical strategy.

Design, build, and operate scalable data ingestion, replication, and lakehouse infrastructure to move petabytes of data into a Delta Lake on S3. Improve reliability, observability, security, and developer experience for Spark/Databricks processing. Develop internal libraries and tooling (Go/Python), collaborate with cross-functional teams, and help shape long-term data platform and AI-ready infrastructure.

Build and maintain scalable, reliable ML data platform systems to support dataset generation, model training, analytics, monitoring, and large-scale inference. Collaborate with ML, software, and infrastructure engineers to design cost-efficient data lake and training infrastructure using vendor and open-source tools to enable next-generation ML models.

Build and maintain backend systems for money movement and card ledger features. Design, develop, and launch scalable APIs and services (Python or Kotlin) using AWS, MySQL, and Kubernetes. Collaborate with product, design, data science, and cross-functional teams, support operations and on-call, create and monitor metrics, participate in code reviews and hiring, and deliver well-tested, extensible solutions.

Lead backend and AI orchestration systems for CoCounsel Audit: design and operate scalable, low-latency AI workflows, integrate LLMs and retrieval systems, mentor engineers, set platform strategy, and ensure reliability, observability, and auditability at production scale.

Build and maintain large-scale automated testing frameworks, libraries, infrastructure, and test suites for enterprise SaaS applications, APIs, services, and distributed systems. Integrate automation with CI/CD pipelines, leverage AI coding tools, troubleshoot application and production issues, analyze codebases, and expand test coverage. Collaborate with engineering, DevOps, product, and QA teams to improve reliability, observability, performance, and maintainability.

Build and iterate full-stack systems powering AI agents, from user-facing experiences through orchestration and deployment. Research agent orchestration, prompting, and model alignment approaches; collaborate with Product, Design, and Engineering to improve usability; document findings, share technical learnings, and participate in reviews and technical discussions.

Build and iterate on full-stack systems powering autonomous AI agents, from user-facing experiences through orchestration and deployment. Research agent orchestration, prompting, and model alignment approaches; collaborate with Product, Design, and Engineering to improve usability for nontechnical users; document findings, share knowledge, and participate in reviews and technical discussions.

Own full-stack product features from technical scoping through deployment and post-launch iteration. Design schemas, APIs, and business logic; build user-facing applications across frontend, backend, and databases; collaborate with ML researchers, product, design, and engineering; incorporate user feedback; and improve development, testing, and deployment practices.

Build full-stack features across a Next.js frontend and FastAPI backend, implement responsive React UIs, integrate AI-powered workflows and streaming responses, consume auto-generated OpenAPI clients, write tests and optimize performance, and collaborate on code reviews and product design.

Build and scale secure automated patching infrastructure for open-source vulnerabilities. Develop Rust and Unix-based CLI tools, package-manager integrations, APIs, testing tools, and developer-facing remediation workflows. Debug ecosystem-specific issues, contribute to JavaScript, React, and TypeScript frontends, and collaborate with security researchers to deliver certified packages and high-quality patches at scale.

Owns quality for enterprise identity governance features from design through production. Responsibilities include creating test plans, automating API, integration, end-to-end, and UI testing, building performance and reliability tests, validating data integrity, integrating deterministic CI release gates, troubleshooting distributed systems, reviewing code, addressing production issues, and partnering with engineering, product, design, SRE, and customer teams.

Design, build, deploy, and optimize high-performance distributed data platform services supporting analytics and machine learning. Responsibilities include developing scalable streaming infrastructure, participating in design and code reviews, tuning performance, debugging production issues, collaborating cross-functionally, and mentoring engineers. The role requires expertise in distributed computing, messaging, data processing, cloud technologies, software engineering principles, and reliability practices.