Top Software Engineer Jobs in Toronto

Design, build, and operate CIAM backend services for registration, authentication, authorization, and account lifecycle. Implement OAuth/OIDC/SAML/SCIM, develop APIs in Python/Kotlin, integrate identity platforms, automate deployments with IaC and CI/CD, and ensure secure, reliable, high-scale identity operations.

Design, build, and operate scalable cloud-native platform services for phone numbers and KYC compliance. Own end-to-end feature delivery, technical specifications, APIs, microservices, tooling, reliability, security, and incident remediation. Use AI-assisted development to accelerate coding and testing, collaborate with product and engineering stakeholders, mentor junior engineers, and contribute to platform modernization, operational excellence, and regulatory solutions.

Build the enterprise platform for an AI creative product, including workspaces, permissions, SSO, audit logs, usage-based billing, invoicing, payment integrations, and security foundations. Develop backend services, APIs, and polished React/Next.js administrative interfaces for multi-tenant customers. Collaborate with founders, sales, and customers to define and ship enterprise features while taking increasing ownership of platform surfaces.

Contribute to modernization and technical-debt reduction efforts, implement and test features, participate in code reviews, follow CI/CD and Agile practices, and collaborate with senior engineers while learning cloud and security practices.

Lead complex customer engagements from discovery through production delivery by architecting, building, and deploying AI solutions. Write and review production code, guide senior engineers, make architecture and deployment decisions, and translate customer-specific learnings into scalable CoCounsel product capabilities. The role requires hands-on expertise in generative AI, LLM systems, enterprise integrations, distributed systems, cloud architecture, security, reliability, and production operations, along with strong technical leadership and customer communication.

Build and own AlphaSense’s AI-powered Microsoft Excel plugin for financial professionals. Design performant desktop integrations with Excel’s object model, calculation engine, and event system; connect local workflows to cloud AI through REST and WebSocket APIs; support enterprise deployment, authentication, offline scenarios, and multiple Excel versions. Optimize memory, performance, error recovery, and stability while establishing testing and deployment best practices and mentoring engineers.

Designs, builds, and deploys production-grade AI applications and services for enterprise customers. Responsibilities include customer discovery, AI architecture, software development, APIs, integrations, deployment, observability, evaluation, MLOps/LLMOps, security, governance, and production support. The role also develops reusable frameworks, participates in design reviews, mentors engineers, and leads solutions across the full lifecycle from problem discovery through deployment.

Build and maintain production-grade AI agents that investigate, reason over, and act on high-cardinality observability data in Honeycomb Canvas. Own agent development from prototype through production, including evaluation frameworks, performance, reliability, memory, spatial awareness, and full-stack integration. Extend Canvas, the MCP server, and Canvas Skills while applying product judgment to define future agent capabilities.

Design and implement high-quality storage and query infrastructure for billions of events. Independently scope and deliver complex projects, improve performance and reliability, support production systems through on-call rotations, and reduce operational toil. Collaborate with Product Management and engineering teams, mentor peers, debug critical issues, define KPIs and SLOs, and drive foundational technical improvements across the organization.

Develop full-stack features for an AI-powered insurance application using Python, React, Redux, PostgreSQL, and AWS. Integrate AI models and APIs for document processing, data extraction, and recommendations; build scalable backend services and intuitive user interfaces; and contribute to architecture, code reviews, releases, and cross-team engineering initiatives.

Lead full-stack development of AI-powered applications using Python, React, Redux, PostgreSQL, and AWS. Define architecture for AI/ML systems, research emerging technologies, and ensure security, scalability, and observability. Partner with cross-functional teams on technical strategy, mentor engineers, support release planning, and resolve ambiguous system-wide challenges while delivering innovative production AI solutions.

Design, build, and scale an agentic voice AI framework for banking customers. Develop LLM guardrails, grounding, policy enforcement, evaluation, tool-calling, and runtime architecture. Optimize real-time voice latency, maintain production reliability, reduce configuration friction, and collaborate with distributed product and engineering teams. The role also requires strong technical judgment, proactive ownership, AI-assisted development, and leadership through direction-setting, unblocking, and mentorship.

Lead quality engineering for membership and loyalty capabilities, designing and executing functional, integration, API, contract, automation, and end-to-end tests. Build reliable test suites, validate loyalty points and personalized recommendations, manage test data, ensure cross-browser and cross-device quality, define testing strategies, and improve coverage using AI-assisted tools. Collaborate with engineering and product teams throughout the software development lifecycle while leading quality engineers in the loyalty and personalization area.

As a Staff Software Engineer on the Cash App Banking team, you will lead technical strategy, collaborate on decisions, manage large features, and mentor other engineers to enhance their skills in creating innovative banking solutions.

Lead automated testing strategy and execution for cloud-based, microservice-oriented systems. Design reusable test frameworks, plans, cases, and data-driven automated tests across on-premises and cloud environments. Execute regression, smoke, sanity, and operational validation suites; troubleshoot defects; review coverage; and support releases. Provide technical guidance, mentoring, code reviews, stakeholder collaboration, and technology education while applying Java, Selenium, API testing, Spring Boot, databases, CI/CD, and Agile practices.

Build and ship full-stack conversational AI features, integrating speech recognition, text-to-speech, and large language models into reliable production systems. Improve latency, reliability, cost, developer experience, and platform foundations at enterprise scale. Collaborate with product and machine learning teams, own initiatives end to end, incorporate production feedback, and support customer-facing engineering work.

Develop and maintain manual and automated integration, functional, load, and performance tests for cloud APIs and identity services. Build Python automation frameworks, improve CI/CD infrastructure, review automation code, and partner with globally distributed engineering teams. Ensure Akamai cloud systems meet specifications for resilience, security, scalability, and release readiness. Troubleshoot Kubernetes applications and contribute to deployment planning.

Develop and maintain manual and automated integration, functional, load, and performance tests for cloud APIs and identity management services. Build Python automation frameworks, contribute to CI/CD infrastructure, review automation code, and validate system resilience, security, scalability, and specifications. Collaborate with globally distributed developers, SDET engineers, architects, and program managers while supporting release readiness and deployment decisions.

Build and maintain Ripple’s multi-region platform infrastructure, release pipelines, and lifecycle services. Develop platform features for compute, authentication, service discovery, observability, and redundancy. Create automation, monitoring, and instrumentation tooling; support secure, reliable deployments across cloud providers; contribute to CI/CD, infrastructure-as-code, and GitOps practices; and collaborate with product engineers while mentoring junior team members.

Develop and support scalable Java and Spring Boot backend microservices powering omnichannel inventory availability, order promising, allocation, fulfilment, and post-purchase experiences. Build event-driven processing with Kafka, integrate OMS, WMS, ERP, commerce, and fulfilment platforms, and ensure services are secure, observable, reliable, and performant. Own features from design through production, write tested code, participate in reviews, troubleshoot production issues, and improve operational efficiency.

Designs, automates, and executes functional, integration, API, contract, regression, concurrency, and performance tests for inventory, order promising, sourcing, and fulfillment platforms. Investigates defects, validates fixes, maintains regression coverage, integrates quality tests into CI/CD pipelines, and supports release readiness. The role collaborates with product and engineering teams to validate distributed commerce systems, integrations, business rules, data consistency, scalability, resilience, and consumer-impacting workflows.

Design, build, and operate secure, resilient distributed systems for secrets and key management across Cloudflare's global network. Re-architect and strengthen internal PKI and machine/workload identity, support and run services (including on-call), and consult with teams to ensure secure system design and usage.

Build and own core components of an LLM-powered agent platform: orchestration, tool integrations, APIs, knowledge/memory infrastructure, trust & safety, and evaluation tooling. Partner with Operations to translate workflows into agent capabilities, mentor teammates, and ship production-ready, scalable AI-native systems.

Design and maintain scalable backend, full-stack, and AWS data infrastructure supporting millions of daily events and hundreds of integrations. Set technical direction for data pipelines, lead architecture and planning, troubleshoot production issues, collaborate across teams, manage work in Jira, research improvements, and mentor engineers. The role owns initiatives end to end while developing reliable, cost-efficient serverless systems using Node.js, TypeScript, React, and AWS services.

Lead full-stack development across mature React/TypeScript web, React Native mobile, and NestJS API applications. Set architecture and technical direction, own features from design through production monitoring, improve stability, performance, and UX, and mentor engineers. Design REST APIs, troubleshoot across UI, API, and database layers, establish scalable engineering practices, review code, and integrate AI tools into development workflows.