Top Software Engineer Jobs in Toronto

Build and scale AI-enabled developer experience, CI/CD, deployment safeguards, observability, and automated response systems. The role focuses on making software delivery autonomous, safe, reliable, and easier for engineering teams to adopt. Responsibilities include architecting enterprise-scale platforms, orchestrating AI agents, reducing technical debt and operational toil, partnering with product engineering teams, and establishing AI-native SDLC workflows. The engineer will also provide technical leadership and turn emerging AI capabilities into production-ready internal platforms.

Build and improve test infrastructure, automation frameworks, CI/CD pipelines, and end-to-end testing strategies. Lead quality initiatives, develop AI-augmented testing solutions, monitor test environments, support incident resolution, and use quality and performance metrics to improve software reliability. Collaborate with Infrastructure, SRE, engineering leaders, and product teams in an agile environment to expand test coverage and enable safe, efficient delivery.

Build and operate database and storage platform software, including services, APIs, developer tools, migrations, and lifecycle automation. Solve database scaling, performance, reliability, and availability problems across distributed systems, cloud infrastructure, and backend services. Partner with engineering teams on schemas and queries, lead technical projects, modernize platforms, participate in incident response, and use AI-assisted tools in development.

Lead technical strategy and architecture for a backend search team building highly available distributed systems, recommendations, and discovery experiences. Partner with product, design, and analytics; establish engineering standards, operational processes, monitoring, testing, and on-call practices. Drive major technical initiatives, mentor engineers, communicate technical direction, and support scalable consumer and merchant experiences.

Build and operate database and storage platform software, including services, APIs, and developer tools for provisioning, migrations, upgrades, and lifecycle management. Solve scaling, performance, reliability, and data correctness challenges across databases, distributed systems, cloud infrastructure, and networking. Partner with engineering teams on schemas and platform adoption, lead technical projects through rollout, participate in on-call response, and use AI-assisted tools in development.

Architect, build, and operate large-scale relational and distributed SQL database infrastructure. Responsibilities include control-plane automation, provisioning, failover, backups, upgrades, zero-downtime migrations, Kubernetes networking, connection proxy optimization, reliability monitoring, capacity planning, and on-call support. The role also involves technical leadership, roadmap ownership, code quality standards, mentoring, and cross-functional collaboration.

Design and scale distributed backend microservices for restaurant reservations, guest management, payments, floor management, and table operations. Build integrations, POS synchronization, entitlement and usage-metering services, and asynchronous workflows. Ensure reliability through observability, automated testing, schema design, latency optimization, and resilient distributed systems. Collaborate with global engineering, product, mobile, web, and UX teams while mentoring engineers and leading technical design reviews.

Lead the design, scalability, reliability, and optimization of continuous integration systems, build pipelines, automated testing, monitoring, and deployment workflows. Improve developer productivity through tooling, automation, fast feedback cycles, and CI/CD best practices. Partner across engineering, shape the CI infrastructure strategy, mentor engineers, and align platform capabilities with company goals.

Build and deliver backend features, APIs, and system integrations for enterprise lending and credit platforms. Develop clean, testable code, debug issues, participate in Agile ceremonies and code reviews, and ensure reliability, performance, and security. Collaborate within a cross-functional POD while taking ownership of assigned work from design through production and continuously improving systems and team practices.

Build end-to-end software for an automated wire-harness factory: instant quoting, data models for harnesses, production/MES systems, integrations with machines and test equipment, and data pipelines to keep quoting, production, inventory, and procurement in sync. Ship full-stack features, work with production and customers, and own quality and reliability.

Design, build, test, and maintain production-quality applications and services using NestJS and/or Spring. Work with event-driven architectures and Kafka, use AI-assisted development tools, write maintainable code, collaborate with engineering and product stakeholders, participate in code reviews and troubleshooting, and contribute to technical decisions and continuous improvement.

Develop and support complex full-stack financial applications using Java, Spring Boot, React, databases, and REST APIs. Lead technical design, coding, testing, releases, incident resolution, security, resiliency, and disaster recovery activities. Provide technical guidance, troubleshoot complex issues, review code, coach team members, collaborate with business and technology partners, and ensure solutions meet performance, quality, governance, and regulatory requirements.

Set technical strategy for backend identity decisioning systems, lead major engineering initiatives, and ensure highly available operations. Partner with product, design, and analytics teams; establish coding, architecture, monitoring, testing, and on-call standards; communicate technical decisions; and mentor engineers. Build and scale distributed systems supporting KYC, user lifecycle management, and identity decisions across international markets.

Design, develop, test, integrate, maintain, and support complex enterprise web applications throughout the software development lifecycle. Work with C#, .NET, Angular, TypeScript, SQL Server, and related Microsoft technologies across multiple client projects. Contribute to architecture, technical decisions, documentation, quality standards, and problem solving while collaborating with distributed teams and maintaining strong client relationships.

Build and operate applied AI systems, including LLM integrations, agentic workflows, data pipelines, evaluation frameworks, MCP tools, APIs, and governed content-serving layers. The role emphasizes production reliability, provenance, security, cost and latency management, regression detection, and human-reviewed AI outputs. Responsibilities include cloud deployment, structured content modeling, telemetry, governance, mentoring, and collaboration on AI standards. Strong Python, TypeScript, AWS, API, data pipeline, and production LLM experience are required.

Build and operate production applied AI systems, including LLM integrations, agentic workflows, data pipelines, evaluation frameworks, APIs, MCP tools, and governed content-serving layers. Develop reliable extraction and classification agents, model evaluation harnesses, telemetry, and structured data pipelines. Ensure security, privacy, provenance, reliability, latency, and cost controls while mentoring engineers and contributing to AI governance and standards.

Design, develop, debug, and test cloud-connected firmware features (C/C++ and Go). Support and scale IoT device fleet, build observability and rollout metrics, triage customer/QA issues, and collaborate cross-functionally to deliver production-ready firmware.

Design, develop, deploy, and lead enterprise Generative AI applications using LLMs, RAG, AI agents, cloud-native architectures, APIs, and microservices. Translate business requirements into secure, scalable solutions; establish reusable AI patterns, governance, and engineering standards; and guide initiatives from concept through implementation. Provide technical leadership, mentor developers, evaluate emerging technologies, optimize performance and cost, and ensure responsible AI, security, privacy, and regulatory compliance.

Build and maintain secure, scalable APIs and infrastructure for an AI-powered fintech platform. Develop features across the stack, integrate third-party APIs, deploy infrastructure with Terraform, apply compliance and security practices, and support customers as a technical point of contact. The role involves close collaboration with the CTO in a greenfield, early-stage startup environment.

Leads the design, development, integration, deployment, and support of Salesforce Loyalty Management solutions. Builds scalable capabilities across Salesforce clouds, integrates enterprise systems through APIs and middleware, develops architecture and operational documentation, ensures security and performance standards, troubleshoots complex issues, supports CI/CD and DevOps processes, and mentors engineering teams. Collaborates with stakeholders and architects to define requirements, recommend solutions, manage releases, and deliver reliable applications.

Leads the end-to-end design, development, integration, deployment, and support of Salesforce Loyalty Management solutions. Designs scalable Salesforce architectures, mentors engineering teams, manages APIs and enterprise integrations, ensures security and governance standards, resolves complex technical issues, and drives performance, reliability, DevOps automation, CI/CD, release management, and operational excellence.

Develop and support complex full-stack applications using Java, Spring Boot, React, TypeScript, Node.js, databases, and REST APIs. Provide technical leadership, troubleshoot incidents, address security and accessibility defects, support Azure migration, testing, releases, disaster recovery, and application governance. Collaborate with technology partners and delivery teams to define requirements, improve quality, document architecture, manage risks, and deliver reliable solutions while coaching team members.

Build and operate backend systems supporting post-transaction card account accuracy, issue resolution, and customer communications. Break down projects, deliver work in phases, collaborate with product and cross-functional teams, monitor system metrics, support availability and on-call operations, and contribute to code reviews and interviews. The role requires backend development experience, distributed systems knowledge, and proficiency in Python or Kotlin, AWS, MySQL, and Kubernetes.

The role involves designing and developing core features for the Linux sensor in CrowdStrike's security platform, collaborating with teams across the company, and maintaining software quality for cross-platform delivery.

Designs, builds, tests, and maintains full-stack mobile and backend solutions using React Native, TypeScript, Node.js, and NestJS. Contributes to system architecture, API design, scalability, performance, observability, and CI/CD. Develops Azure- and Redis-integrated services, participates in technical reviews, addresses technical debt, and mentors engineers through code reviews and knowledge sharing while partnering with product and design teams.