Top Engineering Jobs in Toronto

Manage and grow multiple engineering teams (35 direct reports), hire additional engineers, coach ICs to own large projects, contribute to code and debugging, and lead department/company-wide initiatives to improve reviews, hiring, and developer experience while scaling engineering culture.

Manage a team of 10 engineers, oversee backend architecture, drive design and optimization, mentor team members, and ensure high-performance platforms.

Lead and build a secure, highly available internal platform by writing code and IaC, closing infrastructure gaps, defining LLM strategy and guardrails, mentoring engineering managers and ICs, partnering with leadership and recruiting to scale internal tooling, and ensuring security, performance, and reliability across internal workflows.

Lead and manage a Data Engineering team: hire, mentor, and evaluate associates; oversee vendors; define and implement data warehouse architecture, ETL/data pipelines, and database systems; use Microsoft SQL Server and GCP services (BigQuery, Dataproc, Cloud Data Fusion); collaborate with cross-functional stakeholders and report area progress to executive leadership.

Lead SOC engineering and detection capability strategy, owning SIEM and monitoring architecture, data pipelines, and detection engineering. Provide technical leadership during incidents, validate and tune detections, support adversary emulation exercises, and drive continuous improvement, automation, and platform modernization across security operations.

Design, develop, and maintain data engineering solutions across the SDLC using Python (primary) and Scala (secondary). Build distributed data pipelines on Hadoop/Spark ecosystems, extend data processing platforms (Spark SQL, Hive, Starburst), manage CI/CD, and deploy on Kubernetes/OpenShift. Collaborate with stakeholders in Agile teams and ensure maintainable, reusable code.

Manage and coach an EngOps Applications team responsible for infrastructure and operational health. Own planning, delivery, reliability, incident response, technical oversight, runbooks, and cross-team accountability for production systems.

Nine- to ten-week summer internship for undergraduate or graduate students in Engineering. Participants attend orientation and training, and work on real engineering projects across software, low-latency infrastructure, cybersecurity, big data, and machine learning alongside firm engineers.

Lead design and operationalization of a Silent-Ops production support model, driving automation, predictive monitoring, self-healing/Agentic AI, and governance to improve reliability, reduce toil, prevent incidents, and align operations with enterprise objectives. Provide cross-functional leadership, stakeholder engagement, and continuous improvement of production environments.

Manage operations, service delivery, budgets, client relationships, health & safety, emergency preparedness, and projects for a portfolio of facilities. Lead teams, ensure KPI compliance, optimize processes, manage vendors, and support HVAC technical requirements.

Support project managers on rail and transit infrastructure projects across planning, design, procurement, construction delivery and contract administration. Assist with schedules, budgets, risk registers, project controls, stakeholder coordination, procurement support, reporting, and proposal preparation while gaining experience across the full project lifecycle.

Lead platform engineering across product teams and ARTs to design scalable architecture, drive reusable components, AI adoption, and automation. Provide technical leadership for platform assets, coordinate offshore delivery, prioritize security and performance initiatives, and manage people and financial/feature tracking.

Lead and mentor an ML engineering team to design, build, and ship LLM/GenAI and agentic systems (retrieval, tool use, orchestration, RAG). Collaborate with MLOps, product, and data science, review code, evaluate models, preprocess complex unstructured data, and deliver scalable, reliable AI features for a SaaS product in an agile environment.

Lead and build a platform engineering team that delivers developer experience: CI/CD, deployment automation, observability, test infrastructure, and AI-assisted tooling. Own roadmap, metrics (DORA/DevEx), hiring and coaching, partner cross-functionally to drive continuous deployment, quality, and incident management, and ship high-leverage platform capabilities for product engineering squads.

Lead the software engineering division focusing on infrastructure, resiliency, and compliance. Oversee the SDLC, mentor teams, manage cloud and hybrid environments, and ensure system stability and security within regulatory frameworks. Drive AI integration and foster a high-performing, inclusive team culture.

Lead the engineering team for a search platform at Thomson Reuters, focusing on building, operating, and evolving the infrastructure while managing a team of software engineers and aligning efforts with business priorities.

Lead and grow the hardware test engineering team to deliver test infrastructure, procedures, automation, and evidence packages for satellite hardware. Oversee validation, qualification, production test strategy, reliability campaigns, cross-functional alignment, and scalable processes while coaching engineers and advancing test automation, data systems, and facility capability.

Lead the API engineering team to build and maintain highly available backend services for Pinterest clients. Provide technical direction, architect solutions with stakeholders, manage priorities and delivery, mentor engineers, ensure production readiness, and hire to grow the team.

As Engineering Manager for Sales Planning, you will lead a distributed team to develop tools for sales organization planning, partnering with Product and Design while ensuring quality execution and team growth.

Lead the Rainmaker Ad Server engineering domain, owning strategy, architecture, and delivery for low-latency, high-throughput ad decisioning and serving systems. Drive cross-functional partnerships, technical roadmap, reliability, incident response, team development, and platform modernization to optimize monetization and operational excellence.

Lead transformation of Commercial Banking technology support into an SRE-driven, automated reliability model. Own L2/L3 support, major incident management, observability, AIOps, and automation to reduce toil and improve MTTR and availability. Define operating model, governance, and cross-functional RACI; drive cloud and on‑prem modernization. Build and mentor high-performing SRE and support teams and lead large-scale reliability initiatives.

Lead quality improvement and root cause analysis in coating/manufacturing, maintain PFMEA and control plans, implement digital quality systems, perform capability studies (Cp/Cpk/Pp/Ppk), ensure compliance to QMS and ISO/IATF standards, support audits, supplier and customer quality, and provide hands-on production troubleshooting.

Develop, implement, troubleshoot, and optimize non-destructive testing (NDT) systems across manufacturing. Evaluate inspection technologies, support equipment selection and validation, analyze inspection data to identify root causes and trends, create standardized work instructions, and drive continuous improvement alongside production and engineering teams.

Lead product and process development activities including APQP, prototype builds, validation, PFMEAs, capacity studies, and production transfers. Support troubleshooting, continuous improvement, quality planning, and ensure compliance with IATF 16949 and ISO 14001.

Strategic HR Business Partner for Product Engineering reporting to the Chief People Officer. Lead a small HRBP team to design and execute talent, workforce planning, organizational design, change management, and succession strategies for a large global engineering organization. Use analytics and Workday to inform decisions, partner with senior leaders, support talent acquisition, improve organizational effectiveness, and link people planning to financial performance. Represent company externally and foster an inclusive, high-performance engineering culture.