Top Engineering Jobs in Toronto

Provide process engineering support for Atmospheric Plasma Spray (APS) operations: develop and optimize APS and related processes, run trials, analyze data, support APQP, lead root-cause analysis and continuous improvement, train staff, and ensure compliance with quality and EHS standards.

Lead multiple engineering teams delivering applied AI solutions: own architecture, remove blockers, ensure scalable quality deliveries, coach engineers, champion Responsible AI practices, coordinate with clients and stakeholders, and support hiring and resource planning.

Build and maintain backend features for Agent Observability across the GitLab monolith and AI gateway. Design and implement GraphQL/REST APIs, improve automated tests (RSpec), collaborate cross-functionally, troubleshoot production issues on Tier 2 on-call, and help shape responsible AI integration and platform architecture.

The Senior IT Business Analyst will collaborate with various teams for project scoping, manage documentation, participate in agile processes, and communicate project progress. Key responsibilities include defining requirements for AI product development and facilitating agile ceremonies.

Lead a 12-person engineering team building and operating Magical's AI-native automation platform for healthcare. Own architecture, reliability, security, observability, incident response, hiring, and cross-functional delivery. Translate ambiguous product and customer problems into technical plans, improve platform scalability and deployability, and develop engineers while ensuring healthcare compliance and enterprise readiness.

Eight-month intern role supporting portfolio engineering and capital markets software. Responsibilities include improving proprietary investment strategy code, developing tools for algorithmic trading and portfolio management, analyzing and attributing profit and loss, working with financial datasets, and optimizing portfolio infrastructure. The role offers exposure to equities, fixed income, currencies, commodities, quantitative research, back-testing, execution, risk analysis, reporting, and performance attribution.

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.

As a Software Engineer - AI, you will design, develop, and deploy AI solutions for legal applications, working with clients and technical teams to enhance legal workflows and improve AI outputs.

Provide SRE expertise for Contact Centre application platforms: automate deployments, monitor and troubleshoot production systems, lead incident response and post-mortems, define observability and SLOs, participate in on-call rotation, and drive continuous improvement and AIOps automation to improve reliability and operational intelligence.

Develop, automate, and execute functional, system integration, and acceptance test cases and scripts. Translate business requirements into test plans, identify and report variances, use test tools to automate and run tests, and coordinate testing activities and deliverables with stakeholders following defined methodologies.

Lead detection, investigation, and mitigation of customer-targeted social engineering threats (phishing, smishing, vishing, impersonation). Perform digital risk protection, threat actor analysis, complex reporting, playbook and control development, and cross-functional coordination with Fraud, Cyber Security, Legal, Brand Protection, and external partners to reduce customer exposure and strengthen defenses.

Lead analysis and response to social engineering and phishing threats, perform malware triage for email-delivered threats, recommend control improvements, produce threat reporting, develop policies and playbooks, and participate in cross-functional security initiatives.

Turner & Townsend seeks expressions of interest from Indigenous Peoples in Canada for various roles across project management, engineering, and sustainability.

Design, build, and maintain scalable AI agents and enterprise-grade ELT/ETL pipelines using Python, PySpark, Databricks, and microservices. Deploy and integrate LLMs and agentic AI (Google ADK, Devin.AI, MCP), ensure data quality, security, and CI/CD-driven cloud-native operations, and drive data federation and Data Mesh solutions.

Leads Software Engineering, QA, Quality Engineering, and Systems Administration for a cloud-based SaaS platform. Translates technology and product strategy into execution, drives AI-enabled engineering and automation, improves software quality, reliability, architecture, delivery metrics, and operational processes. Oversees budgets, vendors, infrastructure, security, compliance, workforce planning, talent development, and organizational scaling while partnering with executives and cross-functional teams.

Leads and develops engineering teams supporting a global finance technology modernization program. Responsibilities include people management, technical coaching, stakeholder partnership, architectural alignment, engineering governance, DevSecOps and agile adoption, product health, operational excellence, roadmap strategy, and escalation management. The role requires leadership across SaaS and on-premises implementations, ERP expertise, cloud knowledge, source control, continuous integration, and delivery of complex business solutions.

Leads the factory engineering strategy, capital investment program, asset reliability, utilities optimization, sustainability initiatives, and technical capability development. Oversees end-to-end capital project delivery, engineering governance, safety, quality, compliance, contractor and supplier partnerships, and continuous improvement using UMS, TPM, Lean, and root-cause methodologies. Coaches engineering teams and collaborates with Operations, Quality, Supply Chain, Finance, and Global Engineering to improve manufacturing performance, reduce losses, and meet cost, schedule, safety, and quality objectives.

Lead delivery, technical strategy, engineering processes, cross-functional collaboration, and people management for the Accounts engineering team. Build and scale a high-performing team through hiring, coaching, and performance management while shipping high-quality fintech products. Partner with Product, Design, and leadership to align technical execution with customer and business needs, manage tradeoffs, and improve predictable delivery.

Lead and grow the Authentication Services engineering team to design, build, operate, and scale cloud-native authentication and identity verification services. Drive roadmaps, deliverables, technical vision, cross-functional collaboration, hiring, coaching, and production reliability for secure sign-in and identity workflows.

Manage a cross-functional engineering team building GitLab Duo Chat's AI-powered features. Define requirements with product and UX, contribute to architecture for scalable agentic AI, drive delivery and roadmap execution, improve testing, observability, performance, and coach engineers to foster an inclusive, high-performing team.

Leads end-to-end quality engineering and testing activities, including test planning, case design, automation, defect management, compliance, reporting, and risk assessment. Coordinates internal and external testing teams, mentors testers, integrates automation with DevOps tools, and collaborates with stakeholders, developers, project managers, and vendors. Requires strong banking applications, mainframe or Hyperion Essbase, data warehouse and ETL testing, advanced Excel, and automation experience.

Develop and test embedded software for satellite onboard systems, payloads, IoT modules, and ground equipment. Responsibilities include Embedded Linux, firmware, drivers, documentation, code and design reviews, and collaboration with electrical, digital design, and operations teams. The intern will use C/C++, OpenEmbedded/Yocto, FreeRTOS, Git, and embedded development practices while contributing to system architecture and leveraging AI-assisted engineering tools.

Software Engineering Intern contributing to the compiler, runtime, simulation, and developer tooling stack for OLIX’s next-generation accelerator. Responsibilities include owning scoped projects, writing production C/C++ code, optimizing performance through scheduling and tiling, improving simulation fidelity, collaborating with compiler and hardware teams, and communicating measurement-based results. The role requires systems fundamentals, compiler or systems software depth, and familiarity with low-level programming or ML framework internals.

Develops engineered HVAC, fire pump, hydronic, and integrated plant package solutions; reviews specifications and RFQs; prepares technical proposals and cost estimates; supports customers and sales teams; coordinates with engineering, manufacturing, service, and project management; maintains proposal documentation and CRM records; and improves estimating processes, standards, and operational performance.

Lead end-to-end delivery of Databricks-based enterprise data platform programs. Drive cross-functional teams (data engineering, data science, DevOps, BI), define architecture standards, manage roadmaps, risks, KPIs, and stakeholder reporting. Oversee Delta Lake, medallion architecture, ETL/ELT and streaming pipelines, platform optimization, governance, security, and Agile/SAFe delivery.