Intermediate DevOPS/Cloud Engineer

Do you have 3+ years experience in designing, building, and maintaining CI/CD pipelines to enable fast, reliable, and repeatable software delivery across development, staging, and production environments? Do you have 3+ years experience in developing and maintaining cloud infrastructure using IaC tools (e.g., Terraform, Bicep, or ARM templates) to ensure consistent, repeatable provisioning across environments? If so, this would be a great opportunity for you!

Our client is looking for an Intermediate DevOPS/Cloud Engineer for a 6 month contract in Toronto.

This is a hybrid role.

Rate: $65.74 - $72.13



Advantages
• Earn a competitive rate within the industry.

• Location: Hybrid role, 3 days onsite starting in May and 5 days onsite starting in September.



Responsibilities
• CI/CD Pipeline Development & Automation

Design, build, and maintain CI/CD pipelines to enable fast, reliable, and repeatable software delivery across development, staging, and production environments.
Collaborate with development teams to integrate automated testing, code quality gates, and deployment approvals into pipeline workflows.
Identify bottlenecks in the delivery process and implement automation solutions to reduce manual effort and increase deployment frequency.
Maintain pipeline-as-code standards and ensure version-controlled, auditable pipeline configurations across the organization.

• Infrastructure as Code (IaC)

Develop and maintain cloud infrastructure using IaC tools (e.g., Terraform, Bicep, or ARM templates) to ensure consistent, repeatable provisioning across environments.
Enforce infrastructure standards and best practices through code reviews, modular templating, and reusable component libraries.
Collaborate with architecture and data engineering teams to translate infrastructure requirements into well-structured, scalable IaC implementations.
Lead remediation of infrastructure drift and maintain alignment between declared and actual cloud state.

• AI Infrastructure & Azure AI Resource Deployment

Provision, configure, and manage Databricks , Azure AI and ML infrastructure including Azure Machine Learning workspaces, Azure OpenAI Service, Cognitive Services, and AI Foundry resources.
Collaborate with data science and engineering teams to build and maintain CI/CD pipelines for model training, evaluation, and deployment workflows.
Implement governance and access controls for AI resource consumption, including quota management, endpoint security, and cost tagging specific to AI workloads.
Ensure AI infrastructure is deployed using IaC principles and integrated with broader platform standards for observability, networking, and compliance.
Stay current with Azure AI platform updates and evaluate new services to support evolving business requirements around AI/ML delivery.

• Monitoring & Observability

Implement and maintain monitoring, alerting, and logging solutions to ensure full observability across applications and infrastructure (e.g., Elastic, ).
Define SLIs, SLOs, and alerting thresholds in collaboration with development and operations teams.
Lead incident response efforts by leveraging observability tooling to triage, diagnose, and resolve issues efficiently.
Continuously improve dashboards, runbooks, and on-call processes to reduce Mean Time to Resolution (MTTR).



Qualifications
Must Haves:

3+ years experience:

• Design, build, and maintain CI/CD pipelines to enable fast, reliable, and repeatable software delivery across development, staging, and production environments.

• Develop and maintain cloud infrastructure using IaC tools (e.g., Terraform, Bicep, or ARM templates) to ensure consistent, repeatable provisioning across environments.

• Provision, configure, and manage Databricks , Azure AI and ML infrastructure including Azure Machine Learning workspaces, Azure OpenAI Service, Cognitive Services, and AI Foundry resources.

• Implement and maintain monitoring, alerting, and logging solutions to ensure full observability across applications and infrastructure (e.g., Elastic, ).



Summary
If you are interested in the Intermediate DevOPS/Cloud Engineer position in Toronto, please apply online at www.randstad.ca. Qualified candidates will be contacted.



Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.