2

Entry Level Google Data Center Engineer Jobs in Toronto, ON

AI/ML Engineer - Remote

Toronto, ON · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock . * Build robust ETL and data pipelines ...

Cloud/AI Platform Engineer

Toronto, ON · On-site

CA$70K - CA$150K/yr

New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... Collaborate with software engineers, data scientists, and product teams to operationalize AI ...

As part of HDR's Building Engineering Services Group, you'll help design the critical ... Data Centre, Semiconductor, Healthcare, Laboratory or Sports facilities experience * Experience and ...

No About Us TP is a worldwide leader in client experience management and contact center business ... Work hands-on with Google Cloud products to demonstrate and prototype integrations in Partner ...

No About Us TP is a worldwide leader in client experience management and contact center business ... Work hands-on with Google Cloud products to demonstrate and prototype integrations in Partner ...

Our stack Python and SQL Google Cloud Platform BigQuery and modern data tooling PyTorch, HuggingFace and classical ML frameworks MLflow and Kubeflow FastAPI and containerized deployment Azure DevOps ...

Technical Solutions Engineer

Toronto, ON · On-site

CA$70K - CA$80K/yr

... support center in Slovenia to extend our support coverage across time zones. What will you do ... Pull data from our databases, analyze it, and turn it into clear insights and solutions for ...

As a Data Engineer Intern, you'll gain hands-on experience building and supporting the data systems ... Familiarity with cloud environments (e.g., AWS, Azure, or Google Cloud) * Understanding of large ...

This individual may also delegate basic and fundamental tasks to entry-level engineers and designers.  Responsibilities * Works under the direction of a more experienced engineer to execute design ...

Showing results 41-60

Entry Level Google Data Center Engineer information

What does an entry level Google data center engineer do?

An Entry Level Google Data Center Engineer is responsible for supporting the operation, maintenance, and troubleshooting of Google's data center infrastructure. Their tasks typically include monitoring systems, assisting with hardware installations and repairs, performing routine inspections, and responding to technical issues under the guidance of senior engineers. This role is crucial in ensuring that Google’s massive network of servers and associated hardware run smoothly and efficiently, providing reliable service for users worldwide. Entry level engineers also follow strict protocols to maintain security and data integrity within the facility.

What are the key skills and qualifications needed to thrive as an entry level Google data center engineer?

To thrive as an Entry Level Google Data Center Engineer, you need a solid understanding of computer hardware, networking fundamentals, and basic troubleshooting skills, typically supported by a degree in IT, computer science, or a related field. Familiarity with data center infrastructure management tools, Linux/Unix systems, and certifications like CompTIA A+ or Network+ are often valuable. Strong analytical thinking, attention to detail, and effective teamwork help you excel in maintaining uptime and working safely in high-stakes environments. These skills ensure the reliability, efficiency, and security of critical data center operations.

What are the common challenges faced by entry level Google data center engineers during their first year on the job?

As an Entry Level Google Data Center Engineer, you may encounter challenges such as adapting to the fast-paced and highly secure environment, learning to troubleshoot hardware and networking issues efficiently, and mastering Google’s unique infrastructure tools and protocols. Collaborating with experienced engineers and other cross-functional teams is essential, and you’ll need to quickly become comfortable following strict operational processes. Over time, these challenges become valuable learning opportunities that help you build strong foundational skills and prepare for more advanced responsibilities.

What is the difference between Entry Level Google Data Center Engineer vs Entry Level Data Center Technician?

AspectEntry Level Google Data Center EngineerEntry Level Data Center Technician
Required CredentialsTypically a bachelor's degree in computer science, engineering, or related field; certifications like CompTIA A+ or Network+ are commonHigh school diploma or equivalent; certifications like CompTIA A+ are often preferred
Work EnvironmentDesign, maintain, and optimize data center infrastructure; involves troubleshooting hardware and network issuesInstall, maintain, and repair hardware and cabling; perform routine equipment checks
Employer & Industry UsageGoogle and large tech companies; focus on cloud infrastructure and data center operationsData centers across various industries; focus on hardware support and maintenance

While both roles support data center operations, the Entry Level Google Data Center Engineer typically involves more technical design and troubleshooting, requiring a degree and specialized certifications. The Entry Level Data Center Technician focuses on hardware installation and maintenance, often with less formal education but essential for day-to-day data center functionality.

What are the most commonly searched types of Google Data Center Engineer jobs in Toronto, ON?

The most popular types of Google Data Center Engineer jobs in Toronto, ON are:

What are popular job titles related to Entry Level Google Data Center Engineer jobs in Toronto, ON?

For Entry Level Google Data Center Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Google Data Center Engineer jobs in Toronto, ON look for?

The top searched job categories for Entry Level Google Data Center Engineer jobs in Toronto, ON are:

2027 Winter Co-op Mechatronic Infrastructure Diagnostic Systems

General Motors

Markham, ON • Hybrid

Full-time

Posted 6 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 309 frontline employees who took The Breakroom Quiz

7.3

Company rating compared to similar companies: 7.3 out of 10

Automakers average

Based on 6,336 frontline employees who took The Breakroom Quiz


Job description

Job Description

Vacancy Status:

This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)

AI Disclosure:

As part of the application process, Artificial Intelligence will be used in the hiring process for this role.

Work Arrangement:

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Centre (MEC) three times per week at minimum, or other frequency dictated by the business.

The Role:

GM's Mechatronic Infrastructure Diagnostic System team is offering you an opportunity to rapidly develop your technical and leadership skills to become tomorrow's most sought-after Diagnostic Professional.
We are seeking a motivated co-op student to support a digital modernization initiative focused on migrating diagnostic content, data, and collaboration solutions from Microsoft-based platforms to new platforms such as Google Workspace, Confluence, Jira, GitHub, etc...

What You'll Do

In this role, you will help convert Microsoft products into structured GitHub files, Markdown files, Confluence pages, and Goolgle Workspace equivalents. You will redevelop SharePoint websites using Google-based solutions and migrate SharePoint lists into appropriate destinations. You will use develop or use AI agents as a critical part of the migration workflow to accelerate analysis, transformation, documentation, and quality checks while applying sound judgment and validating all AI-generated results. This is an opportunity to gain practical experience in data transformation, information architecture, cloud collaboration platforms, automation, and responsible use of AI. Additional work initiatives will include innovating new test automation tools/scripts, automatically extract and link data from repositories, updating visualization boards, and more. Success will be measured by how much you bolster and improve the overall health of the enterprise diagnostic ecosystem.

Key Responsibilities:

  • Analyze existing Microsoft Workspace files, SharePoint websites, and SharePoint lists to understand their structure, content, relationships, and business purpose.

  • Define and apply mapping rules between Microsoft Workspace products and their Google Workspace equivalents.

  • Reproduce Microsoft-based documents, spreadsheets, presentations, forms, and collaboration content in Google Workspace where appropriate.

  • Redevelop SharePoint websites as equivalent Google-based sites while preserving usability, navigation, key content, and business requirements.

  • Convert SharePoint lists into suitable approved solutions such as Github, Jira, or other.

  • Identify content, fields, links, permissions, workflows, and dependencies that may require special handling during migration.

  • Develop repeatable processes, templates, scripts, AI-assisted workflows, or other automation to reduce manual conversion effort and improve consistency.

  • Ensure new data is accurate, consistent, and maintainable.

  • Use approved AI tools to assist with content analysis, field mapping, YAML generation, site and list conversion, documentation, and migration-quality reviews.

  • Validate migrated content through structured comparisons, data checks, usability reviews, and stakeholder feedback, including verification of AI-assisted outputs.

  • Document conversion procedures, assumptions, mapping decisions, known limitations, and recommended follow-up actions.

  • Collaborate with technical teams, business stakeholders, and subject-matter experts to clarify requirements and resolve migration issues.

  • Follow GitHub version-control practices, including branching, pull requests, reviews, and clear commit documentation.

Required Qualifications:

  • Currently pursuing a Bachelor's degree in Computer Engineering or Computer Science, Mechatronics, Robotics, Data Science, Data Engineering, Data Analytics, Applied Science, Mechanical Engineering or equivalent

  • Eligible to work full time hours, 40 hours a week for a term of 4 months (consecutive semesters) starting January 2027

  • Strong experience with Git and GitHub, including repositories, branches, commits, and pull requests

  • Strong experience with Microsoft Excel and Google Sheets, including tables, filters, formulas, VBA, Macros, and data organization.

  • Strong demonstrated experience with Python, Jira, Confluence, Markdown

Preferred Skills:

  • Basic understanding of YAML, JSON, XML, or another structured data format.

  • Previous co-op or internship experience using AI tools as part of daily work, such as for research, data transformation, coding, documentation, analysis, or workflow automation.

  • Previous experience creating AI agents, including RAGs.

  • Ability to write clear prompts, evaluate AI-generated results, identify errors or unsupported assumptions, and apply human review before using outputs.

  • Ability to understand existing information structures and translate them into clear, maintainable designs.

  • Strong written and verbal communication skills.

  • Ability to work independently, manage priorities, and ask effective questions when requirements are unclear.

  • Demonstrated excellence in oral and written communication skills.

  • Ability to ask questions, seek clarification, and challenge norms to rapidly overcome challenges.

  • Creative talent and effective use of drawing tools to create images, graphs, charts, etc., to convey messages.

NOTE- YOU MUST BE ENROLLED IN A CO-OP PROGRAM AND MEET THE PROGRAM'S ELIGIBILITY REQUIREMENTS. ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA.

The monthly salary range for this role is $4,264.00 to $4784.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Sponsorship:PLEASE ONLY APPLY IF YOU DO NOT NEED SPONSORSHIP TO WORK IN CANADA NOW OR IN THE FUTURE. WE ARE UNABLE TO CONSIDER CANDIDATES WHO REQUIRE SPONSORSHIP

Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.

For more information about GM Canada, visit our website atwww.gm.ca/careers


General Motors of Canada values diversity and is an equal opportunity employer

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


Working at General Motors


What General Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


General Motors logo

About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908