As of November 7, 2026, Jobsy lists 19 principal engineer jobs in Toronto, ON. The most active employers are Qualus, AECOM and Microchip - Canada. Skills often requested: leadership, communication skills, python and coaching.
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8+ YOECandidates need 8+ years of software engineering, 6+ years on Android, and 4+ years in a technical leadership role. Deep expertise in Android framework, AOSP, Binder/AIDL, Kotlin and Jetpack Compose is required.
10+ YOECandidates need 10+ years of hands-on software engineering experience building scalable web solutions, plus AI and GenAI skills such as RAG and prompt engineering. Required skills include TypeScript, Node.js, Python, a modern UI framework, and cloud platforms (AWS, Azure or GCP), with an advanced degree in a related field.
10+ YOECandidates need 10+ years of hands-on engineering experience building scalable web solutions, plus skills in modern UI frameworks, TypeScript, Node.js and Python. Experience with agentic AI platforms, LLM integration and cloud platforms (AWS, Azure or GCP) is also required.
Electric Power Engineers: Electric Power Engineers (EPE) is a global advisory and engineering firm advancing grid reliability, resilience, flexibility, and affordability.
5+ YOECandidates need 5+ years as a power systems engineer on generation and transmission interconnection, with ERCOT interconnection knowledge and PSCAD and PSS/E modeling experience. Strong written and verbal communication and a client-focused approach are also required.
8+ YOECandidates need 8+ years building Kubernetes platforms in enterprise settings and 5+ years each with Terraform and cloud services on GCP and Azure. They also need CI/CD and GitOps experience, scripting skills, and knowledge of cybersecurity and compliance.
10+ YOEScribd, Inc. needs a candidate with 10+ years of software engineering experience, including Staff or Principal level work. Candidates need hands-on experience shipping agentic developer tooling, depth in agent runtimes and evals, and significant time in developer experience, platform or infrastructure engineering.
Software development, Power engineering, Leadership, CI/CD, Coaching, Mental health
12+ YOEAutodesk needs candidates with 12+ years of software engineering experience and proven technical leadership. They must have deep expertise in AWS, Kubernetes, Terraform, CI/CD and cloud security, and must know at least one of Python, Java, TypeScript or Go. Production AI-enabled platform experience with LLM APIs and RAG is also required.
Matrix Global: With extensive experience in trading, logistics and commodity financing, the Matrix Global team improves how the industry transacts and develops…
Candidates need prior senior technical leadership experience such as Principal Engineer or Solution Architect. They also need strong Java or Scala development skills, Azure Data Lake Storage and Databricks experience, and hands-on work with Kafka or MQ messaging.
Java, Scala, Python, Azure Data Lake Storage, Databricks, Apache Kafka
Candidates need prior Principal or Senior Principal level technical scope and deep experience with high-throughput, low-latency distributed backend systems. They must also show strong influence across teams and the ability to explain complex ideas to both engineers and executives.
- Significant experience leading multiple Software Engineering and/or ML Engineering teams; - Experience building and operating complex, production-grade systems at scale; - Strong modern engineering and cloud experience
Oracle Java, Python, React, AWS, Microsoft Azure, ML
12+ YOECandidates need 12+ years of software and platform engineering experience, including building systems that span teams in regulated environments. Applied AI depth, experience with patient or clinician-facing technology, and the ability to lead without positional authority are required.
15+ YOECandidates need a bachelor's degree in engineering, a professional designation or eligibility for registration, and 15+ years delivering complex infrastructure projects. Experience as a design manager or engineering lead and leading multidisciplinary teams is required.
15+ YOE5+ MgmtMcCain Foods needs a candidate with a Bachelor's or Master's in engineering, data science or computer science, 15+ years in manufacturing analytics or automation, and 5+ years in senior leadership. Candidates need deep expertise in MES, SCADA, PLCs, cloud data platforms, AI/ML, and strong executive communication skills.
Candidates need several years of shipping production software, strong full stack skills in TypeScript, Node.js, React, SQL and APIs, and hands-on experience building agentic AI systems. They must use AI coding tools daily and build evaluation and guardrail systems that keep AI output trustworthy.
15+ YOECandidates need 15+ years in enterprise networking with senior principal-level authority over global architecture. They must have expert BGP and OSPF knowledge, strong Python for network automation, network-as-code and telemetry experience, and a real applied-AI pilot with measurable value.
5+ YOECandidates need a Master's or PhD in electrical engineering and at least 5 years of analog and mixed-signal circuit experience. Microchip Technology prefers experience with ADCs, DACs, filters, PLLs, DLLs and high-speed I/Os, plus scripting in SKILL, Python, Perl or Tcl.
Homebase: Brands That Matter Winner 2024 - Fast Company
12+ YOECandidates need 12+ years of software engineering experience with distributed systems and legacy modernization, strong domain-driven design, API and event-driven architecture skills, and the ability to influence without authority. Ruby/Rails experience and payroll or workforce management knowledge are assets, along with daily use of AI tools.
Payroll, Scheduling, Human resource management, Leadership, Problem solving, Test automation
15+ YOECandidates need 15+ years of hands-on experience shipping autonomy components on real vehicles, deep expertise in perception, prediction or planning, and strong C++ and Python skills. Experience with deep learning, ROS or ROS 2, and on-vehicle real-time systems is also required.
Candidates need to have set technical strategy over two to three years and led a large, high-traffic system across teams. They need deep experience with high-throughput, resilient distributed and data-heavy systems, a sense of where AI and LLMs fit, and a record of growing senior engineers.