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Weekend Remote Devops Jobs in Toronto, ON (NOW HIRING)

25-026 DevOps Engineer

Toronto, ON · Remote

CA$80 - CA$100/hr

MP4 Hourly Rate: $80 - 100/hour Duration: 10 Months Hours of work: 35 Location: 700 University Avenue, Toronto (100% Remote) Job Overview We are seeking a skilled DevOps Engineer to support our data ...

As a Senior Developer, DevOps on our Platform Engineering team, you'll play a critical role in ... Salary range: $120,000 to $160,00 CAD * Remote-first flexibility to work where you work best, with ...

We are seeking a highly skilled Mainframe DevOps Expert to join our team for an exciting short-term project. Key Responsibilities: As a Curriculum Development Specialist, your primary responsibility ...

DevOps Analyst

Toronto, ON · Remote

CA$75K - CA$130K/yr

... s, cloud operations, DevOps, or managed services environment - we value depth of hands-on ... Remote monitoring and log automation tools Nice to have: * Experience with airlines or related ...

Position: DevOps / SRE / Cloud Engineer (Coding Agent Experience) Type: Contract Compensation: $85 ... Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex ...

Position: DevOps / SRE / Cloud Engineer (Coding Agent Experience) Type: Contract Compensation: $85 ... Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex ...

25-183 - Kubernetes Engineer

Oshawa, ON · On-site +1

$60 - $85/hr

CHQ (Hybrid - 3 Days Remote) Job Overview Design and implement cloud-native infrastructure using ... Automate infrastructure provisioning and configuration using DevOps tools such as Azure DevOps (ADO ...

To do that we are eager to add a highly skilled DevOps / SRE Engineer Engineer to our incredible ... However, we will consider remote applicants +/- 3 hours from eastern time zone. Why work here * We ...

To do that we are eager to add a highly skilled DevOps / SRE Engineer Engineer to our incredible ... However, we will consider remote applicants +/- 3 hours from eastern time zone. Why work here * We ...

Developer, Dev-Ops Engineering

Mississauga, ON · Remote

CA$109K - CA$164K/yr

Role Summary The DevOps Engineer (Mid-Level) plays a hands-on role in building and operating SCIA ... Remote first / work from home culture * Flexible vacation to help you rest, recharge, and connect ...

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate ... Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations.

GraphQL Playground, Postman, Github * DevOps: AWS, Heroku, Vercel (we love Vercel!!!!) and Digital Ocean (we love DO!!!!) * Design: Sketch, Figma, Adobe Suite Apply to join a team of senior ...

Contract Duration: 1 year (starting late May) Fully Remote (Canada) Must haves: * Strong hands-on ... Familiarity with GitHub, GitHub Actions, Azure DevOps, or similar CI/CD tools * Experience working ...

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Infographic showing various Weekend Remote Devops job openings in Toronto, ON as of July 2026, with employment types broken down into 30% Full Time, 44% Part Time, and 26% Contract. Highlights an 100% Remote job distribution.

25-026 DevOps Engineer

Morson Talent

Toronto, ON • Remote

CA$80 - CA$100/hr

Other

Re-posted 13 days ago


Job description

Job Description Number of Vacancies: 1 Level: MP4 Hourly Rate: $80 - 100/hour Duration: 10 Months Hours of work: 35 Location: 700 University Avenue, Toronto (100% Remote) Job Overview We are seeking a skilled DevOps Engineer to support our data analytics developers in deploying, maintaining, and troubleshooting data pipelines within our Azure-based Data Lake environment. This role will be responsible for managing Cl/CD pipelines, ensuring seamless code deployment from development to UAT and production, and establishing best practices for DevOps in our data engineering and analytics functions, specifically, we are standing up a Centre of Advanced Analytics and need dedicated expertise and support. The ideal candidate will bring expertise in cloud-based DevOps, data pipeline automation, and infrastructure management, enabling our team to focus on delivering high-quality data products efficiently.

Key Responsibilities: Deployment & Environment Management Design, implement, and maintain Cl/CD pipelines for deploying data pipelines and analytics models into UAT and Production environments. Support the data development team by automating code deployments, reducing manual errors, and improving deployment efficiency. Troubleshoot and resolve pipeline failures, deployment issues, and infrastructure bottlenecks in collaboration with data developers.

Manage and optimize data lake infrastructure, security, and access controls to ensure smooth operations. DevOps Best Practices & Standardization Establish and enforce DevOps standards, best practices, and documentation to improve efficiency and reliability in data product development. Develop automated testing strategies for data pipelines to validate transformations, integrity, and performance across environments.

Work with cross-functional teams to implement observability and monitoring solutions for data workflows and deployments. Enhance version control practices and facilitate collaboration using Git, Azure DevOps, or similar tools. Infrastructure & Performance Optimization Maintain and optimize cloud-based data lake environments (Azure, Databricks, Synapse) for efficient data processing and analytics.

Automate infrastructure provisioning and configuration using Infrastructure as Code (laC) (Terraform, ARM Templates, etc.). Identify and resolve performance bottlenecks in data processing pipelines. Assist in defining and implementing security, access management, and governance policies for data and analytics environments

Collaboration & Stakeholder Engagement Act as a liaison between the Data Analytics team and the Data Lake Engineering team to ensure smooth deployments. Work closely with Data Developers, Data Engineers, and Analytics teams to troubleshoot and optimize workflows. Provide guidance and mentorship to team members on DevOps principles, automation, and best practices.

Qualifications 3+ years of experience in DevOps, Cloud Engineering, or Data Engineering with a strong focus on Cl/CD and automation. Additional MLOps experience a nice to have. Strong expertise in Cl/CD tools such as Azure DevOps, GitHub Actions, Jenkins, or GitLab Cl/CD.

Experience working with Azure-based data platforms such as Azure Data Lake, Azure Synapse, Azure Databricks. Proficiency in scripting and automation Understanding of monitoring, logging, and alerting solutions for data pipelines (Azure Monitor). Knowledge of security, access management, and compliance standards for data environments.

Strong problem-solving skills and the ability to debug complex deployment and pipeline issues. Ability to work collaboratively Experience with Databricks workflow automation, Delta Lake, Azure