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

Senior AWS Cloud Developer

Toronto, ON ยท On-site +1

CA$75K - CA$141K/yr

This role is not eligible for Virtual/Remote work. About the Role: We are seeking a senior cloud ... Focuses on the technical design, development, enhancement, testing, debugging and maintenance of ...

Software Engineer

Toronto, ON ยท Remote

CA$8/hr

As a remote-first organization, we are building a modern, high-performing team focused on ... Experience with Azure DevOps and CI/CD pipelines * Experience developing SaaS applications

As a remote-first organization, we are building a modern, high-performing team focused on ... Experience with Azure DevOps and CI/CD pipelines * Experience developing SaaS applications

As a remote-first organization, we are building a modern, high-performing team focused on ... Experience with Azure DevOps and CI/CD pipelines * Experience developing SaaS applications

Developer, AI Transformation Team

Toronto, ON ยท On-site +1

CA$135K - CA$155K/yr

Implement best practices for security, testing, monitoring, and CI/CD automation across AI ... Familiarity with DevOps and MLOps practices, including CI/CD pipelines, infrastructure automation ...

This is a remote role for candidates in the US or Canada, focusing on cross-functional ... Leverage cloud platforms and DevOps tools to automate infrastructure as code and enable fast ...

Senior Full Stack Engineer

Toronto, ON ยท Remote

$125K - $155K/yr

Remote in the Greater Toronto Area Schedule: Full-Time (35 hours/week) Salary: $125K - $155K ... Experience with DevOps practices, Docker, Kubernetes, CI/CD pipelines, or cloud platforms such as ...

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 ...

25-125 FinOps Engineer

Pickering, ON ยท Remote

$80 - $95/hr

MP4, $80- $95/hr INC Duration: 12 Months Hours of work: 35 Location: (Hybrid - 1 day remote) Temp ... Work with the FinOps Product Owner to define, estimate, and deliver backlog items in Azure DevOps, ...

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Remote Devops Testing information

Is DevOps dead due to AI?

DevOps testing remains essential in software development, with AI tools enhancing automation, monitoring, and deployment processes. While AI automates certain tasks, DevOps roles focus on integrating these tools, managing infrastructure, and ensuring continuous delivery, so the profession continues to evolve rather than become obsolete.

What is the difference between Remote Devops Testing vs Remote Software Tester?

AspectRemote Devops TestingRemote Software Tester
Primary FocusIntegrating development and operations, automating deployment, and ensuring system reliabilityTesting software applications for bugs, functionality, and performance
Required SkillsDevOps tools, scripting, CI/CD pipelines, cloud platformsManual and automated testing, test case design, bug tracking
CertificationsDevOps certifications (e.g., AWS, Azure, Docker)ISTQB, Certified Software Tester
Work EnvironmentCollaborative, often cross-functional teams, cloud-based toolsTesting environments, bug tracking tools, test labs

Remote Devops Testing focuses on automating and streamlining deployment and system reliability, while Remote Software Tester emphasizes identifying bugs and verifying software quality. Both roles require technical skills but differ in their core responsibilities and tools used.

Is 40 too old to learn DevOps?

Remote DevOps testing roles require knowledge of automation tools, scripting, and cloud platforms, which can be learned at any age. Age is not a barrier to acquiring the skills needed for DevOps, and many professionals successfully transition into this field later in their careers through online courses and certifications.

Can DevOps be a remote job?

Yes, DevOps roles can often be performed remotely, especially with the use of cloud platforms, automation tools, and collaboration software. Many companies now offer remote DevOps positions that require skills in scripting, CI/CD pipelines, and infrastructure management, making remote work feasible for qualified professionals.

Can a tester become DevOps?

A tester can transition to a DevOps role by gaining skills in automation, scripting, cloud platforms, and CI/CD tools such as Jenkins or GitLab. Experience in software development, infrastructure management, and understanding of deployment pipelines are also important for this career shift.
What are the most commonly searched types of Devops Testing jobs in Toronto, ON? The most popular types of Devops Testing jobs in Toronto, ON are:
What are popular job titles related to Remote Devops Testing jobs in Toronto, ON? For Remote Devops Testing jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Devops Testing jobs in Toronto, ON look for? The top searched job categories for Remote Devops Testing jobs in Toronto, ON are:
Infographic showing various Remote Devops Testing job openings in Toronto, ON as of July 2026, with employment types broken down into 1% Locum Tenens, 88% Full Time, 4% Part Time, and 7% Contract. Highlights an 76% Physical, 9% Hybrid, and 15% Remote job distribution.

25-010 Senior Data Developer

Morson Talent

Pickering, ON โ€ข Remote

$80 - $95/hr

Other

Posted 11 days ago


Job description

Job Description Senior Data Developer Level: MP5 Hourly Rate: $80 - $95/hour Duration: 10 Months Hours of work: 35 Location: 889 Brock Rd., Pickering (100% Remote) Job Overview JOB FUNCTION As a Senior Data Developer, you will be responsible for building and supporting the data driven applications which enable innovative, customer centric digital experiences. You will be working as part of a cross-discipline agile team who help each other solve problems across all business areas. You will build reliable, supportable & performant data lake & data warehouse products to meet the organization's need for data to drive reporting analytics, applications, and innovation

You will employ best practice in development, security and accessibility to achieve the highest quality of service for our customers. JOB DUTIES Build and productionize modular and scalable data ELT/ETL pipelines and data infrastructure leveraging the wide range of data sources across the organization. Implement data ingestion and curation data pipelines that offer an integrated, business-centric single source of truth for business intelligence, reporting, and downstream system use, in collaboration with Data Architect.

Work closely with Data Architect, infrastructure and cyber teams to ensure data is secure in transit and at rest. Clean, prepare and optimize datasets for performance, ensuring lineage and quality controls are applied throughout the data integration cycle. Support Business Intelligence Analysts in modelling data for visualization and reporting, using dimensional data modeling and aggregation optimization methods.

Provide production support for issues related to ingestion, data transformation and pipeline performance, data accuracy and integrity. Collaborate with data architect, business analysts, data scientists, data engineers, data analysts, solution architects and data modelers to develop data pipelines to feed our data marketplace. Assist in identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Work with tools in the Microsoft Stack; Azure Data Factory, Azure Data Lake, Azure SOL Databases, Azure Data Warehouse, Azure Synapse Analytics Services, Azure Databricks, Collibra, and Power Bl. Work within the agile SCRUM work management framework in delivery of products and services, including contributing to feature & user story backlog item development, and utilizing related Kanban/SCRUM toolsets. Assist in building data catalog and maintenance of relevant metadata for datasets published for enterprise use.

Develop optimized, performant data pipelines and models at scale using technologies such as Python, Spark and SOL, consuming data sources in XML, CSV, JSON, REST APls, or other formats. Document as-built pipelines and data products within the product description, and utilize source control to ensure a maintainable code-base. Implement orchestration of data pipeline execution to ensure data products meet customer latency expectations, dependencies are managed, and datasets are as up-to-date as possible, with minimal disruption to end-customer use.

Create tooling to help with day to day tasks, and reduce toil via automation wherever possible. Work with Continuous Integration/Continuous Delivery and DevOps pipelines to automate infrastructure, code delivery and product enhancement isolation and proper release management and versioning. Monitor the ongoing operation of in-production solutions, assist in troubleshooting issues, and provide Tier 2 support for datasets produced by the team, on an as-required basis.

Implement and manage appropriate access to data products via role-based access control. Write and perform automated unit and regression testing for data product builds, assist with user acceptance testing and system integration testing as required, and assist in design of relevant test cases. Participate in peer code review sessions, and approve non-production pull requests.