Top Software Engineer Jobs in Toronto

Leads technical direction for Everand’s backend platform, including architecture, reliability, observability, CI/CD, databases, queues, and scalable distributed systems. Partners with product, design, analytics, web, mobile, and ML teams to deliver personalized reading and listening experiences. Mentors engineers, drives architecture reviews and modernization efforts, improves technical quality, and owns platform health, performance, cost, and resilience.

Architect and develop scalable Python backend systems for financial risk and intelligence platforms. Apply Generative AI, prompt engineering, token optimization, and RAG to analyze multimodal financial communications and derive trading and risk insights. Build resilient APIs on Kubernetes, research emerging LLM technologies, and collaborate with quantitative, product, risk, and compliance teams. Responsibilities include testing, code reviews, CI/CD, system documentation, and production deployment at global enterprise scale.

Verify and validate embedded software for airworthy flight control systems. Responsibilities include reviewing software architecture and requirements, conducting source code analysis, and performing unit, software integration, and hardware/software integration testing under DO-178C guidelines. The role also supports software release activities and process improvements.

Design, build, and deploy production-grade legal AI solutions by translating legal user needs into robust software. Collaborate with AI engineers, apply prompt/LLM evaluation, use DevOps and Infrastructure-as-Code, practice TDD, mentor junior engineers, lead agile projects, and deliver end-to-end solutions for law firms and legal departments.

Build and operate low-latency, reliable platform infrastructure for AI model evaluation, including APIs, AI gateways, streaming systems, serving layers, observability, authentication, rate limiting, usage metering, and audit logging. Integrate multiple LLM providers, handle failures and response normalization, support enterprise requirements, and contribute across backend evaluation and leaderboard platforms. This hands-on role requires strong Go expertise and experience with distributed systems or developer-facing infrastructure.

Build and modernize scalable enterprise data platform services, including AI-assisted automation, self-service workflows, and Apache Iceberg adoption. Develop Python and AWS platform tooling, improve reliability, support incident response, troubleshoot distributed data systems, and perform root-cause analysis. Partner with globally distributed engineering teams to improve data producer and consumer experiences, operational stability, and developer productivity.

Owns VM and fleet test strategy, hypervisor validation, performance quality gates, and systems-level testing for an IaaS platform. Designs reproducible bare-metal-like environments, develops automated benchmarks and regression gates, validates SLOs and deployment safety, and builds test harnesses in Go, Python, and Perl. The role requires deep expertise in KVM/QEMU/libvirt, Linux internals, x86 and ARM architectures, performance analysis, statistical testing, and CI/CD tooling.

Build and lead the technical strategy for CircleCI Server, an on-premises CI/CD platform. Develop Kubernetes infrastructure, Helm-based deployment, release automation, testing tools, observability, and diagnostics using OpenTelemetry. Improve installation, upgrades, reliability, and operations across customer environments, including air-gapped deployments. Partner with Product, Engineering, Support, Customer Engineering, and customers while mentoring engineers and making architecture decisions across systems and teams.

Build and operate CircleCI’s data query platform, including ClickHouse storage, event-driven ingestion, Temporal workflows, APIs, indexing, caching, and tiered storage. Design schemas, optimize high-volume queries, improve reliability and observability, and lead architectural decisions. The role requires strong backend engineering, distributed systems expertise, AI-native practices, and technical leadership across production data systems.

Build and operate infrastructure security platforms centered on workload identity, service-to-service authentication, authorization, and short-lived credentials. Replace static secrets with identity-based systems, develop identity-authenticated proxies and APIs, and unify authorization policy management. Partner with platform and application teams to drive adoption, migrate legacy systems, and ensure reliable production infrastructure with strong developer experience.

Owns end-to-end test strategy, designs scalable backend and UI automation frameworks, integrates automated testing into CI/CD pipelines, performs exploratory testing, and advocates for testability and reliability across engineering and product. The role requires strong programming, Kubernetes and distributed-systems knowledge, debugging ability, and cross-functional ownership in a fast-moving startup.

Develop scalable server applications and complex software modules using C# and .NET. Profile and optimize performance, maintain code quality, research unfamiliar codebases, and contribute to architecture and technical decisions. Collaborate through code reviews and design discussions in an Agile Scrum environment, provide implementation leadership, solve ambiguous problems, and deliver high-quality solutions meeting functional, quality, and performance requirements.

Lead the design and delivery of SaaS products powered by data, ML, and AI, collaborating across backend, systems, and cloud infrastructure. Drive architecture evolution, ensure operability and performance, and mentor engineering teams.

Sets technical direction for APIs that provide governed access to legal content for AI agents. Owns API architecture, retrieval and search design, MCP integrations, evaluation frameworks, reliability, observability, security, and platform governance. Leads cross-team architecture decisions, mentors engineers, manages operational responsibilities, and establishes AI-assisted, spec-driven development practices for a multi-team internal platform.

Design, develop, refactor, and migrate legacy ASP.NET and backend applications using Python and C#. Build microservices, containerize with Docker/Kubernetes (EKS), deploy to AWS, ensure application security, and optimize SQL database performance while collaborating with cross-functional teams.

Design, build, deploy, and optimize scalable, high-performance data platform components supporting analytics and machine learning. Responsibilities include distributed streaming infrastructure, API and system design, code and design reviews, performance tuning, production debugging, cross-functional collaboration, and mentoring engineers. The role works with technologies such as Kinesis, Flink, Elasticsearch, Snowflake, and distributed cloud systems.

Build and optimize distributed Lance dataset operations, high-performance indices, table formats, and data encodings in Rust. Develop integrations with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems. Improve internal data processing infrastructure, contribute to open-source communities, and promote Lance through technical conferences. The role requires deep distributed systems expertise and extensive experience with high-performance databases, big data, or AI training systems.

Build and maintain premium mobile features, subscription and in-app purchase flows, paywalls, pricing experiences, and advertising functionality for Life360’s consumer app. Own feature quality, performance, reliability, experimentation, and incident response at 100M+ user scale. Collaborate with product, design, data science, and analytics teams; use AI coding agents extensively; contribute to architecture and code reviews; mentor engineers; and help evolve AI-native engineering practices.

Develop performant, standards-compliant Firefox layout and rendering code focused on Asynchronous Pan and Zoom. Responsibilities include designing algorithms and interaction techniques, debugging and optimizing multithreaded code, reviewing contributions, testing bugs, and collaborating on long-term platform development across Android, Windows, Linux, and macOS.

Develop and manage mission-critical infrastructure services for Akamai’s cloud lab platform. Build deployment stacks for test datacenters, design observability and monitoring solutions, improve deployment and configuration performance, and collaborate with engineering, architecture, and site reliability teams. The role requires strong Infrastructure as Code, Python, REST API, container orchestration, development-environment tooling, and relational database experience.

Develop and manage mission-critical infrastructure services for cloud development and testing. Build Python backend services, APIs, automation, virtual machine environments, reservation systems, reporting tools, and resilient test frameworks. Improve reliability, scalability, deployment performance, and observability across physical and virtual infrastructure. Provide technical leadership and mentorship while collaborating with global Development and SRE teams.

Build and operate production-grade AI agents that automate workflows across internal teams. Design agent architectures with LangGraph and Amazon Bedrock AgentCore, integrate internal systems and third-party tools, and develop evaluation, observability, and guardrail frameworks. Partner with nontechnical teams to identify workflows, own solutions from prototype through production, measure impact, and drive adoption through documentation and training.

Build and operate platform security services for Auth0 using Python, Node.js, or Golang. Develop security automation, secure Kubernetes and containerized workloads, implement runtime security and network controls, remediate dependency vulnerabilities, and maintain high-quality production code. The role also involves technical design, code reviews, CI/CD architecture, cloud-native security, and collaboration with engineering teams on vulnerability remediation.

Architect and develop production-grade business systems across Salesforce, NetSuite, and integrated enterprise platforms. Build quoting, subscription, and entitlement engines; create automation pipelines and API integrations; establish architecture, security, documentation, and code-review standards; and translate commercial policies into scalable technical solutions. The role partners with Finance, Sales Operations, Customer Success, and product stakeholders while maintaining system reliability, auditability, observability, and production readiness.

Lead the architecture, development, and scaling of data pipelines and infrastructure for a customer-facing Data Lake platform. Build ETL and ingestion systems using GCP, Debezium, Pub/Sub, Dataflow, BigQuery, Python, Golang, and SQL. Establish engineering standards, deliver strategic projects, mentor engineers, influence cross-functional technical decisions, optimize data services, and shape the platform roadmap.