Toronto On Remote devops engineer Jobs – 124 Openings This Week

Full Stack Data Engineer (Analytics + ETL + Reporting)
Manulife —Toronto, ON
- $86,100–$136,100 a year
- Full-time
- Azure
- Computer Science
- DevOps
- Disability insurance
- Dental care
Senior Data Engineer
Alpaca —Toronto, ON
- On call
- Remote
- DevOps
- SQL
- APIs
Quick apply
11h
Full Stack .NET Architect - GenAI Experience (Canada - Remote)
Avanade —Toronto, ON
- $131,000–$156,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Software Analyst (SWAT), Senior
Hitachi Rail —Toronto, ON
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Computer science
- Microsoft Excel
- Designated paid holidays
- Dental care
Software Analyst (SWAT), Senior
Hitachi —Toronto, ON
- Full-time
- Microsoft Powerpoint
- Computer science
- Microsoft Excel
- Designated paid holidays
- Dental care
Manager, Data Platform and Analytics Engineering
Lifemark Health Group —North York, ON
- $90,000–$130,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- Leadership
Quick apply
13d
Associate Principal - Program & Project Management
LTM —Mississauga, ON
- $120,000–$125,000 a year
- DevOps
- Databases
- Product management
- Disability insurance
- Dental care
Quick apply
Software Architect
Knowledgehook Inc —Toronto, ON
- $190,000–$220,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
- Dental care
- Paid time off
Quick apply
12d
Full Stack Developer
Turbovets Inc. —Greater Toronto Area, ON
- $140,000–$170,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
- Dental care
- Paid time off
Quick apply
3d
L3 Data Management (GCP)
TELUS —Toronto, ON
- $70,000–$120,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Senior Unified Engineer
Royal Bank of Canada —Toronto, ON
- Full-time
- DevOps
- Java
- Agile
Director of Engineering
Intuition Machines, Inc. —Toronto, ON
- Contract
- Remote
- DevOps
- Machine learning
- Python
- Flexible schedule
Quick apply
Senior Web Developer
Imagine Communications —Toronto, ON
- Full-time
- Computer Science
- DevOps
- Engineering
- Dental care
- Employee assistance program
VP, Product
Platform.sh —Toronto, ON
- Immediate opening
- Remote
- DevOps
- Leadership
- Paid time off
Quick apply
Manager, Software Engineering
Emburse —Toronto, ON
- Full-time
- Computer Science
- DevOps
- Java
5d
Technical Product Manager, Applied AI
Clariti Cloud Inc. —Toronto, ON
- Part-time
- Remote
- DevOps
- Product management
- Travel
Quick apply
10d
Senior Java Developer
CGI —Toronto, ON
- $95,000–$145,000 a year
- Full-time
- Oracle
- DevOps
- Engineering
Quick apply
Senior Cloud Architect, Delivery (GenAI)
DoiT —Toronto, ON
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
5h
Lead, CRM Developer
Condominium Authority of Ontario —Toronto, ON
- $125,000–$140,000 a year
- Full-time
- Hybrid work
- CRM software
- Azure
- Computer Science
- Dental care
- Vision care
Quick apply
3d

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Manager, Data Platform and Analytics Engineering
Lifemark Health Group —North York, ON
Provide hands-on technical guidance across Azure data services, data lake design, orchestration, transformation frameworks, and data pipeline development.
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Senior Web Developer
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Volunteer in your community and we will pay for that too. Partner with product management and development engineers to translate monitoring/management workflows…

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Full Stack Data Engineer (Analytics + ETL + Reporting)

Manulife -
Toronto, ON

Apply Now

Job details

Full-time
$86,100–$136,100 a year

Qualifications

CI/CD
SFTP
Crystal Reports
Power BI
Azure
Computer Science
Software Engineering
Financial auditing
XML
Full-stack development
DevOps
Engineering
SSRS
Git
Tableau
SQL
Bachelor's
REST
APIs
JSON
Kafka
Metadata
Informatica
Communication skills
Data warehouse
Control-M
Analytics

Full job description

Manulife / John Hancock is seeking a highly skilled Full‑Stack Data Engineer (Analytics + ETL + Reporting) with expertise in turning curated data into actionable insights, automated feeds, and enterprise‑grade reports with hands-on experience on Informatica/ADF, data warehousing and data model design to join our Insurance Licensing & Compensation engineering team. The successful candidate will design, develop, enhance, and turning curated data into actionable insights, automated feeds, and enterprise‑grade reports. As a Full‑Stack Data Engineer – Reporting, Extracts & Feeds, you will work downstream of our established Gold Layer, transforming business‑ready data into reports, extracts, and secure feeds consumed across Finance, Distribution, Operations, and other enterprise functions.

Work Arrangement: Hybrid from nearest office (3 days in Office, 2 days from Home); Remote working arrangement is not available.

Position Responsibilities:

Build automated data extracts and feeds from curated Gold Layer models.
Develop formatted operational and regulatory reports (Power BI, Tableau, SAC, SSRS, Crystal Reports).
Design and maintain ETL/ELT pipelines using ADF, Informatica or similar tools.
Create reliable outbound data delivery via SFTP, APIs, or managed file transfer platforms.
Implement data validation, reconciliation checks, and robust quality controls.
Maintain clear lineage from Gold Layer to downstream outputs with audit readiness.
Optimize extraction logic for performance and scalability.
Build and manage scheduling, monitoring, and alerting for production pipelines.
Work closely with Finance, Actuarial, Operations, and business partners to gather and translate reporting needs.
Document feeds, mappings, data definitions, and technical specifications.

Required Qualifications:

Bachelor’s degree in computer science, Software Engineering, or a related field (or equivalent experience)
4+ years’ experience in data engineering, BI engineering, or analytics engineering.
Advanced SQL skills and strong understanding of 3NF and analytic modeling.
Hands‑on experience with ETL/ELT platforms (Informatica, ADF or similar).
Practical experience building formatted reports (Power BI/Tableau/SAC/SSRS/Crystal Reports).
Ability to generate and automate file‑based outputs (CSV, TSV, XML, JSON etc.).
Experience delivering feeds via SFTP, MFT, or API frameworks.
Strong data quality, validation, and reconciliation skills.
Good understanding of data warehousing and data model design
Familiarity with scheduling/orchestration tools (ADF, Airflow, Control‑M, Autosys).
Strong communication skills and ability to work cross‑functionally with business teams.

Preferred Qualifications:

Exposure to cloud platforms (Azure preferred).
Experience with Git, CI/CD pipelines, and DevOps practices.
Familiarity with API gateways, REST APIs, and event‑driven patterns (Kafka/Event Hub).
Understanding of metadata management and data governance frameworks.
Background in insurance, or financial systems would be an asset.

When you join our team:

We’ll empower you to learn and grow the career you want.
We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
As part of our global team, we’ll support you in shaping the future you want to see.

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html .

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [email protected] .

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$86,100.00 CAD - $136,100.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact [email protected] for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact [email protected] for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement .

Apply Now

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remote devops engineer jobs in toronto on

Full Stack Data Engineer (Analytics + ETL + Reporting)

Senior Data Engineer

Full Stack .NET Architect - GenAI Experience (Canada - Remote)

Software Analyst (SWAT), Senior

Software Analyst (SWAT), Senior

Manager, Data Platform and Analytics Engineering

Associate Principal - Program & Project Management

Software Architect

Full Stack Developer

L3 Data Management (GCP)

Senior Unified Engineer

Director of Engineering

Senior Web Developer

VP, Product

Manager, Software Engineering

Technical Product Manager, Applied AI

Senior Java Developer

Senior Cloud Architect, Delivery (GenAI)

Lead, CRM Developer

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