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Live In Devops Jobs in Toronto, ON (NOW HIRING)

... people live, work, and play every day. We believe in empowering people. That's why we equip our ... Summary As an Intermediate AI DevOps Engineer you are a skilled practitioner responsible for making ...

In this role you will: * Build, maintain, and optimize Continuous Integration and Continuous Deployment pipelines. * Automate build, test, and deployment workflows. Use tools like Terraform, Ansible ...

In this role you will: * Design, implement, and operate scalable, highly available, and fault-tolerant cloud and on-prem infrastructure. * Provide senior-level DevOps guidance for onboarding ...

Implementing DevOps technologies and processes,e.g: containerisation, CI/CD, infrastructure as code ... live in. We're committed to a more equitable future and to helping our customers find new ...

DevOps Engineer

Toronto, ON ยท On-site

CA$70K - CA$100K/yr

In this role, you will partner with engineering, QA, release, and operations teams to maintain dependable tooling, troubleshoot delivery issues, and improve automation across the software delivery ...

DevOps Engineer

Toronto, ON ยท On-site

CA$70K - CA$100K/yr

In this role, you will partner with engineering, QA, release, and operations teams to maintain dependable tooling, troubleshoot delivery issues, and improve automation across the software delivery ...

Implementing DevOps technologies and processes,e.g: containerisation, CI/CD, infrastructure as code ... live in. We're committed to a more equitable future and to helping our customers find new ...

... a DevOps Engineer to join our cloud engineering and security-focused team to help design, build ... In addition, you will be actively engaged in supporting operations, infrastructure, and tooling ...

... live and work. Don't just work anywhere - come build tomorrow together with us. Know someone at ... Then, watch for a unique link in your email to apply. We are looking for a hands-on DevOps Engineer ...

SRE / DevOps Manager

Toronto, ON ยท On-site

CA$150 - CA$180K/hr

Qualifications * 10+ years of experience in DevOps, SRE, or infrastructure engineering. * 2+ years in a leadership or managerial role. * 3+ years of expertise with Cloud platform deployments * 3+ ...

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the ... CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps) Cloud platforms (AWS preferred;

Our team is looking for a DevOps engineer with at least 6 years cloud and Kubernetes experience including specialization in ArgoCD. Our project involves building automations for a greenfield managed ...

In this role, you will help operationalize Gen AI and machine learning solutions by building and ... Experience: * 5-7 years of experience in DevOps, software engineering, platform engineering, or ...

We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is ... Troubleshoot and assist with deployment related issues and incident response on live systems.

Superintendent (live-in)

Toronto, ON ยท On-site

CA$30K - CA$35K/yr

Conduct routine property inspections to identify maintenance, operational, or safety concerns ... This is a live-in position requiring flexibility to respond to emergencies and operational needs ...

About Fullscript Founded in 2011, Fullscript began by helping practitioners access and prescribe ... As a Senior Developer, DevOps on our Platform Engineering team, you'll play a critical role in ...

New

DevOps Architect

Toronto, ON ยท Hybrid

CA$100K - CA$140K/yr

You'll play a pivotal role in shaping and evolving our DevOps ecosystem. Day-to-day, you'll work closely with engineering, IT, and business stakeholders, define enterprise DevOps frameworks, and ...

DevOps Architect

Toronto, ON ยท Hybrid

CA$100K - CA$140K/yr

You'll play a pivotal role in shaping and evolving our DevOps ecosystem. Day-to-day, you'll work closely with engineering, IT, and business stakeholders, define enterprise DevOps frameworks, and ...

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Showing results 1-20

Live In Devops information

Is DevOps dead due to AI?

DevOps professionals continue to be in demand as AI tools automate certain tasks but do not replace the need for skills in automation, scripting, and infrastructure management. AI enhances DevOps workflows by improving efficiency, but the role remains vital for managing complex systems, implementing CI/CD pipelines, and ensuring security and reliability.

What is the difference between Live In Devops vs Live In Network Engineer?

AspectLive In DevopsLive In Network Engineer
CertificationsAWS, Azure, Docker, KubernetesCisco, CompTIA Network+, CCNA
Work EnvironmentCollaborative, cloud-based, automation-focusedOn-site or remote, infrastructure and network management
Industry UsageTech companies, startups, cloud providersTelecom, enterprise IT, data centers

Live In Devops and Live In Network Engineer roles share certifications and work environments but focus on different technical areas. Devops emphasizes automation, cloud platforms, and software deployment, while Network Engineers concentrate on network infrastructure and security. Both roles are vital in tech industries, but their daily tasks and skill sets differ significantly.

Is DevOps still in demand in 2026?

DevOps engineers remain in high demand in 2026 due to the ongoing need for automation, continuous integration, and cloud infrastructure management. Skills in tools like Docker, Kubernetes, and cloud platforms are valuable for securing job opportunities in this field.

Are DevOps jobs still in demand?

Yes, DevOps jobs remain in high demand as organizations seek professionals skilled in automation, cloud platforms, and continuous integration/continuous deployment (CI/CD) tools. The role is essential for improving software delivery speed and reliability across various industries.

Is 40 too old to learn DevOps?

Age is not a barrier to learning DevOps or pursuing a career as a Live In DevOps professional. Success depends on your motivation, ability to learn new skills such as scripting, automation, and cloud tools, and gaining relevant certifications. Many professionals transition into DevOps at various ages and find opportunities based on their skills and experience.
What are the most commonly searched types of Devops jobs in Toronto, ON? The most popular types of Devops jobs in Toronto, ON are:
What are popular job titles related to Live In Devops jobs in Toronto, ON? For Live In Devops jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Live In Devops jobs in Toronto, ON look for? The top searched job categories for Live In Devops jobs in Toronto, ON are:

Intermediate AI DevOps Engineer

Bell Canada

Toronto, ON โ€ข Hybrid

Other

Medical, Dental, Vision

Posted 9 days ago


Job description

ย Req Id:ย 428729

Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we're building a more connected future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every day.ย 

We believe in empowering people. That's why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If you're inspired by innovation that advances how people connect and transforms what's possible, you belong on #TeamBell.

Summary

As an Intermediate AI DevOps Engineer you are a skilled practitioner responsible for making the AI enablement vision a reality. This role involves supporting and executing within established frameworks to implement AI best practices, drive adoption, and ensure seamless AI integration across various business units (BUs).

Key Responsibilities
  • AI Standardization & Adoption: Implement AI best practices and actively support their adoption across engineering teams.
  • Cross-BU Collaboration: Work closely with different BUs' teams to ensure successful integration of AI capabilities and MLOps practices.
  • MLOps Implementation & Configuration: Set up and configure MLOps tools, CI/CD pipelines, and infrastructure components according to established architectural designs.
  • Developer Support: Directly assist development teams in utilizing enablement capabilities, troubleshooting pipeline issues, and providing guidance on best practices for AI/ML development.
  • Documentation Contribution: Create and update user-facing documentation, tutorials, and examples for MLOps tools, processes, and AI enablement resources.
  • Scripting & Automation: Develop scripts to automate routine tasks for both the enablement team and development teams, enhancing efficiency.
  • Feedback Gathering: Systematically collect feedback from development teams regarding the usability and effectiveness of enablement resources and tools.
Competencies
  • MLOps Execution: Ability to implement and configure MLOps tools and CI/CD pipelines as designed.
  • Technical Support: Skill in assisting developers, troubleshooting technical issues, and guiding them on best practices.
  • Automation Development: Proficiency in scripting (e.g., Python, Bash) to automate routine tasks.
  • Documentation: Capability to create and update clear, user-friendly technical documentation.
  • Collaboration: Ability to work effectively with cross-functional teams and gather constructive feedback.
  • Problem-Solving: Aptitude for identifying and resolving technical issues within established frameworks.
  • AI/ML Workflow Understanding: Foundational knowledge of AI/ML concepts and the importance of DevOps in their lifecycle
Critical Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
  • 2-4 years of experience in DevOps, SRE, or Software Engineering roles, with exposure to AI/ML development workflows.
  • Hands-on experience configuring and managing CI/CD pipelines.
  • Experience with scripting languages such as Python or Bash.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and their relevant services.
  • Exposure to MLOps tools and concepts (e.g., MLflow, Kubeflow, SageMaker, Vertex AI).
  • Experience creating technical documentation.
  • Understanding of Git for version control.
  • Familiarity with containerization technologies like Docker.
  • Basic knowledge of AI/ML concepts and the ML development lifecycle.

#LI-SS1

Adequate knowledge of French is required for positions in Quebec.ย 

Additional Information:

Position Type: Managementย 
Job Status:ย 
Regular Term - Full Timeย 
Job Location:
Canada : Ontario : Mississauga || Canada : Ontario : Toronto || Canada : Quebec : Montrealย 
Work Arrangement: Hybridย 
Application Deadline: 07/03/2026ย 

For work arrangements that are 'Hybrid', successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.ย  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

Please apply directly online to be considered for this role.ย  Applications through email will not be accepted.

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you'll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.ย 

At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong.

Bell is committed to clarity in our hiring process. All roles posted are opportunities we're actively recruiting for, unless stated otherwise. We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter orย recruitment@bell.ca to make arrangements.If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback formย or visit our Accessibility page ย for other ways to contact us.

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

Created: Canada,ย ON, Toronto

Bell,ย one of Canada's Top 100 Employers.