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Technical Assistant Engineer Jobs in Ontario (NOW HIRING)

Zafin

Technical Consultant I

Toronto, ON · On-site

Integration Architecture & Engineering * Design end-to-end integration solutions leveraging APIs ... Support performance tuning, scalability, availability, and resiliency initiatives. * Assist clients ...

WSP

Technical Manager, Construction Interface

Ottawa, ON · On-site

CA$177K - CA$234K/yr

Collaborate closely with the CM's MEC Manager and Design Assist partners to ensure constructability ... Professional Engineer (P.Eng.) or Architect preferred; constructionbased certifications an asset.

Teledyne

Technical Leader (II)

Waterloo, ON · On-site

CA$76K - CA$102K/yr

Suggest improvements to engineering workflows * Engage with internal stakeholders to clarify ... to assist in the Screening, Assessing and Selecting of candidates for this role Salary Range: $76 ...

Scotiabank

Senior Technical Analyst

Toronto, ON · On-site

You will also assist in implementing tools, documenting processes, and supporting monitoring ... Analyze and troubleshoot system issues, coordinating resolution with engineering teams * Follow ...

KPMG

Manager, ServiceNow Technical Lead

Toronto, ON · On-site

What you will do As a Technical Lead in our ServiceNow practice, you will use your strong business ... * Assist in client ServiceNow architecture design. * Coach and support a team of junior developers.

KPMG

Manager, ServiceNow Technical Lead

Ottawa, ON · On-site

What you will do As a Technical Lead in our ServiceNow practice, you will use your strong business ... * Assist in client ServiceNow architecture design. * Coach and support a team of junior developers.

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All JobsTechnical Engineer JobsTechnical Assistant Engineer JobsTechnical Assistant Engineer Jobs in Ontario

Technical Assistant Engineer information

See Ontario salary details

$10

$29

$62

How much do technical assistant engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for technical assistant engineer in Ontario is $29.22, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $35.58 per hour, depending on experience, location, and employer.

What does a technical assistant engineer do?

A Technical Assistant Engineer supports senior engineers and project teams by assisting with technical tasks such as preparing reports, conducting tests, troubleshooting equipment, and maintaining project documentation. They often help with data collection, analysis, and ensuring that engineering projects run smoothly and efficiently. Their role bridges the gap between technical staff and management, making sure that day-to-day technical operations are well-coordinated.

What are some typical daily tasks for a technical assistant engineer, and how do they support senior engineers?

Technical Assistant Engineers often handle a mix of hands-on technical tasks and administrative support. Their daily responsibilities may include preparing and updating engineering documents, assisting with equipment setup and maintenance, and collecting or analyzing technical data. They frequently collaborate with senior engineers by organizing project materials, participating in site visits, and troubleshooting minor issues. This support helps ensure projects run smoothly and allows Technical Assistant Engineers to learn practical skills while building relationships with senior team members.

What are the key skills and qualifications needed to thrive as a technical assistant engineer, and why are they important?

To thrive as a Technical Assistant Engineer, you need a solid background in engineering principles, problem-solving, and relevant technical education, often supported by a diploma or bachelor's degree in engineering or a related field. Familiarity with CAD software, diagnostic tools, and project management systems is typically required, along with any industry-specific certifications. Strong organizational skills, attention to detail, and effective communication are valuable soft skills for this role. These competencies are essential for supporting engineering teams, ensuring project accuracy, and facilitating efficient technical operations.

What is the difference between Technical Assistant Engineer vs Mechanical Engineer?

AspectTechnical Assistant EngineerMechanical Engineer
Required CredentialsDiploma or Bachelor's in Engineering, certifications often preferredBachelor's or higher in Mechanical Engineering, professional licensure optional
Work EnvironmentAssists senior engineers in design, testing, and maintenance tasks, often in labs or on-siteDesign, analysis, and development of mechanical systems, primarily office and manufacturing settings
Employer & Industry UsageUsed in construction, manufacturing, and engineering firms for support rolesCommon in manufacturing, automotive, aerospace, and energy sectors

The Technical Assistant Engineer typically supports senior engineers with technical tasks and requires relevant diplomas or certifications. Mechanical Engineers are responsible for designing and analyzing mechanical systems, often holding a bachelor's degree. Both roles are integral in engineering projects but differ mainly in scope and responsibilities.

What cities in Ontario are hiring for Technical Assistant Engineer jobs?

Cities in Ontario with the most Technical Assistant Engineer job openings:

Technical Assistant Engineer jobs near you
Infographic showing various Technical Assistant Engineer job openings in Ontario as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $60,785 per year, or $29.2 per hour.

Technical Consultant I

Toronto, ON • On-site

Zafin
See more jobs at Zafinexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Act as the primary technical consultant for SaaS onboarding and implementation projects.

  • Design and implement scalable, secure, and resilient integration architectures across cloud and hybrid environments.

  • Leverage AI-assisted development and productivity tools to accelerate solution delivery, troubleshooting, documentation, and testing activities.

Job description

What is the Opportunity?

Reporting to the Director, Technical Consulting, the Technical Consultant I will work across multiple client-facing projects to enable SaaS onboarding and successful client adoption of Zafin solutions. You will leverage modern cloud, integration, automation, and AI technologies to accelerate project delivery, improve onboarding experiences, and drive operational excellence.

You will serve as the technical lead for SaaS onboarding initiatives, acting as a trusted advisor to clients and internal stakeholders. You will help define and implement scalable integration architectures, champion best practices across cloud platforms, and leverage AI-powered tools to improve solution design, documentation, testing, troubleshooting, and delivery outcomes.

As a thought leader in integration and emerging AI-enabled delivery practices, you will collaborate with senior client technical leaders, product teams, and delivery organizations to ensure successful project execution from initiation through go-live and beyond.

You will also contribute to product enhancements, develop automation and performance testing capabilities, and identify opportunities to apply AI and intelligent automation to improve delivery efficiency and client outcomes.

What Will You Do?Client Delivery & Solution Consulting
  • Act as the primary technical consultant for SaaS onboarding and implementation projects.
  • Design and implement scalable, secure, and resilient integration architectures across cloud and hybrid environments.
  • Partner with customers and system integrators to define integration landscapes, technical requirements, and implementation roadmaps.
  • Translate complex technical and business requirements into actionable solution designs and delivery plans.
  • Present solution approaches to client technical leadership and drive alignment across stakeholders.
  • Develop a deep understanding of client business objectives and recommend innovative solutions that accelerate value realization.
AI-Enabled Delivery & Automation
  • Leverage AI-assisted development and productivity tools to accelerate solution delivery, troubleshooting, documentation, and testing activities.
  • Identify opportunities to automate onboarding, integration validation, deployment, monitoring, and support processes using AI and intelligent automation.
  • Utilize AI-powered analysis tools to improve root cause investigation, performance optimization, and operational efficiency.
  • Contribute to the adoption of AI best practices within consulting and delivery teams.
  • Evaluate emerging AI technologies and recommend practical applications that improve client and delivery outcomes.
Integration Architecture & Engineering
  • Design end-to-end integration solutions leveraging APIs, event-driven architectures, messaging frameworks, and cloud-native integration services.
  • Define logical sequencing and execution plans for SaaS onboarding activities.
  • Collaborate with Product Engineering teams to implement recommended integration strategies and product enhancements.
  • Support cloud infrastructure, platform services, and system components required for successful integration.
  • Develop scripts, utilities, and automation frameworks to improve implementation quality and performance testing.
  • Contribute hands-on development using Java, Spring Boot, Docker, Kubernetes, PostgreSQL, and related technologies.
Continuous Improvement
  • Improve onboarding experiences through enhanced processes, reusable assets, documentation, and automation.
  • Identify recurring delivery challenges and recommend scalable solutions.
  • Act as the voice of the customer internally to influence product, process, and documentation improvements.
  • Mentor team members on integration best practices, cloud technologies, and AI-enabled delivery approaches.
Incident & Operational Support
  • Lead the identification, isolation, resolution, and communication of technical issues within client environments.
  • Support performance tuning, scalability, availability, and resiliency initiatives.
  • Assist clients in establishing monitoring, observability, and operational best practices.
What Do I Need to Succeed?Must HaveIntegration & Architecture
  • Experience delivering at least one end-to-end SaaS implementation project.
  • Experience designing scalable end-to-end integration architectures.
  • Strong knowledge of application, data, and cloud integration patterns.
  • Deep understanding of API-first architectures and API-based integrations.
  • Strong understanding of network protocols, security architectures, and integration technologies.
  • Knowledge of integration frameworks commonly used by SaaS applications.
  • Experience creating architecture and solution designs using modeling tools.
Cloud & Platform Technologies
  • Strong working knowledge of Azure, AWS, and/or GCP cloud platforms and integration services.
  • Experience with Kubernetes, Docker, PostgreSQL, and distributed application architectures.
  • Experience with clustering, scalability, and high-availability configurations.
  • Microsoft Azure Fundamentals certification or equivalent cloud knowledge.
Development & Delivery
  • 5+ years of application and data integration experience.
  • Hands-on development experience with:
    • Java
    • Spring Boot
    • Docker
    • Kubernetes
    • PostgreSQL
  • Strong problem-solving and analytical skills.
  • Ability to communicate complex technical concepts to technical and non-technical stakeholders.
  • Self-starter with an ownership mindset and passion for continuous improvement.
  • Experience working in Agile delivery environments.
AI & Automation
  • Experience using AI-assisted development, testing, documentation, or productivity tools (e.g., GitHub Copilot, ChatGPT, Claude, Cursor, or similar).
  • Understanding of AI/LLM capabilities, limitations, and practical applications within software delivery and consulting.
  • Ability to identify opportunities for intelligent automation and AI-enabled process improvements.
  • Familiarity with AI governance, security, and responsible AI principles.
Education
  • Degree in Computer Science, Engineering, or equivalent practical experience.
Nice to Have
  • Experience with AI-powered software development and DevOps workflows.
  • Exposure to Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or enterprise AI platforms.
  • Experience building integrations involving AI services and APIs.
  • Automation testing experience (JUnit or similar frameworks).
  • Application development experience in large enterprise IT environments.
  • Experience with Test-Driven Development (TDD) and Behavior-Driven Development (BDD).
  • Experience with observability and monitoring platforms.
  • Cloud certifications (Azure, AWS, or GCP).
  • Experience working in financial services or enterprise SaaS environments.

Additional Job Details

  • Expected Salary Range: $60,000 - $65,000
  • Vacancy Status: Open Position to be filled
  • Mode of Work: Hybrid
  • Use of AI: Zafin may use Artificial Intelligence (AI) and/or other forms of automated technology to screen and/or assess applicants for this position. Zafin will not utilize AI for conducting interviews and/or making hiring decisions. 

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