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Devops Analyst Jobs in Ontario (NOW HIRING)

Cloud DevOps Engineer (Hybrid)

Ottawa, ON ยท Hybrid

CA$40 - CA$50/hr

Cloud DevOps Engineer (Hybrid) Ottawa, ON | Hybrid (3 Days Onsite - Tue to Thu) Start Date: 12 ... Contribute to predictive analytics (capacity planning, failure prevention) AI-Assisted Operations

Troubleshoot, analyze the root cause issues in the platform * Fully participate in the ownership of ... and DevOps * 7+ years experience with CI/CD practices, tool chains such as but not limited to ...

ROLE OVERVIEW The Senior DevOps Engineer designs, automates, and operates secure, scalable, and ... Participate in on-call and incident response; lead complex incident triage, root cause analysis ...

Machina Labs is seeking a Senior DevOps Engineer to join our growing software engineering team and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Technical Operations Analyst

Collingwood, ON ยท Hybrid

CA$110K - CA$135K/yr

Collaborate with developers to improve tooling, data capture, and reporting cadences. What we're ... analysis, quality assurance * Experience working with real-time operational or transport data.

AI/ML DevOps Engineer

Toronto, ON ยท On-site

CA$69K - CA$119K/yr

CI Financial is seeking an experienced AI/ML DevOps Engineer to join the Data, AI & Analytics (DNA) team. In this role, you will help operationalize Gen AI and machine learning solutions by building ...

Senior DevOps

Toronto, ON

CA$160K - CA$215K/yr

Lead incident response, root cause analysis, and postmortems. Cloud & Security * Optimize cloud ... Mentor junior engineers and promote DevOps and platform engineering best practices. * Contribute to ...

Platform Intelligence -- leveraging AI, data analytics, and orchestration to advance delivery modernization, operational stability, and developer experience. * Price and scope work, produce proposals ...

Showing results 21-40

Devops Analyst information

See Ontario salary details

$38K

$97.5K

$148K

How much do devops analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for devops analyst in Ontario is $97,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $118,500.00 per year, depending on experience, location, and employer.

What is a DevOps analyst?

DevOps Analysts are IT professionals who bridge the gap between software development and operations teams. They focus on automating, monitoring, and optimizing the software development lifecycle to ensure efficient and reliable application deployment. Their responsibilities include configuring continuous integration/continuous deployment (CI/CD) pipelines, managing cloud infrastructure, monitoring system performance, and implementing security best practices. By fostering collaboration and streamlining processes, DevOps Analysts help organizations deliver software faster and with greater stability.

What are the key skills and qualifications needed to thrive as a DevOps analyst?

To thrive as a DevOps Analyst, you need a solid understanding of software development, system administration, automation, and cloud computing, often supported by a degree in computer science or a related field. Familiarity with tools like Jenkins, Docker, Kubernetes, Terraform, and cloud platforms such as AWS or Azure, as well as certifications like AWS Certified DevOps Engineer or Docker Certified Associate, is typically required. Strong problem-solving, collaboration, and communication skills help you bridge gaps between development and operations teams. These competencies are crucial for improving deployment efficiency, system reliability, and fostering seamless integration across IT environments.

What are the most common challenges a DevOps analyst faces when integrating new tools or processes into existing workflows?

DevOps Analysts often encounter challenges such as resistance to change from team members, compatibility issues with legacy systems, and ensuring that new tools align with organizational security standards. Successfully integrating these tools requires strong communication skills to educate stakeholders, thorough testing to prevent disruptions, and close collaboration with both development and operations teams. Overcoming these hurdles not only improves efficiency but also helps foster a culture of continuous improvement within the organization.

What is the difference between Devops Analyst vs Cloud Engineer?

AspectDevops AnalystCloud Engineer
Required CertificationsCertifications like AWS Certified DevOps Engineer, Azure DevOps EngineerAWS Certified Solutions Architect, Azure Solutions Architect
Work EnvironmentCollaborates with development and operations teams, often in IT or software companiesDesigns, implements, and manages cloud infrastructure, often in tech or enterprise environments
Employer & Industry UsageUsed across IT, software development, and tech companiesPrimarily in cloud service providers, large enterprises, and tech firms

The Devops Analyst focuses on integrating development and operations processes using automation tools, while the Cloud Engineer specializes in designing and managing cloud infrastructure. Both roles require similar certifications and often work in overlapping environments, but their core responsibilities differ in scope and focus.

Is DevOps analyst still in demand in 2026?

DevOps analysts are expected to remain in demand in 2026 due to the ongoing need for automation, continuous integration, and cloud infrastructure management. Skills in tools like Jenkins, Docker, Kubernetes, and cloud platforms such as AWS or Azure will continue to be valuable for organizations seeking efficient software deployment and operations.

What are popular job titles related to Devops Analyst jobs in Ontario?

For Devops Analyst jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Devops Analyst jobs in Ontario look for?

The top searched job categories for Devops Analyst jobs in Ontario are:

Infographic showing various Devops Analyst job openings in Ontario as of August 2026, with employment types broken down into 81% Full Time, 14% Part Time, and 5% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $97,484 per year, or $46.9 per hour.

Cloud DevOps Engineer (Hybrid)

WilsonCTS

Ottawa, ON โ€ข Hybrid

CA$40 - CA$50/hr

Contractor

Re-posted 21 days ago


Key responsibilities

  • Support and run production-grade IAM cloud services to ensure high availability, performance, resilience, and security.

  • Design, manage, and automate infrastructure and deployment processes using Terraform, CI/CD pipelines, and Kubernetes platforms.

  • Implement monitoring, alerting, and AI-driven insights to improve operational stability, incident response, and predictive analytics.


Job description

Cloud DevOps Engineer (Hybrid)

Ottawa, ON | Hybrid (3 Days Onsite - Tue to Thu)
Start Date: 12 months contract to begin
Pay Rate: $40-$50/hr


About the Environment

A global, highly secure cloud organization delivering mission-critical Identity & Access Management (IAM) services to enterprise customers operating in regulated, high-availability environments. The platform spans AWS and GCP and is built for scale, resilience, and zero-compromise security.

We are looking for a Cloud DevOps Engineer to join the Cloud Operations team and help drive reliability, automation, and next-generation AI-assisted operations across a complex multi-cloud ecosystem.


What You'll Be Doing

Cloud Operations & Reliability

  • Run and support production-grade IAM cloud services
  • Ensure high availability, performance, resilience, and security
  • Participate in L2/L3 incident response, RCA, and postmortems
  • Join a 24/7 follow-the-sun on-call rotation
  • Continuously improve operational stability and service quality

DevOps, Automation & IaC

  • Design and manage Infrastructure as Code using Terraform
  • Build and maintain CI/CD pipelines (GitLab)
  • Deploy and operate Kubernetes platforms (EKS, GKE, OpenShift)
  • Automate provisioning, deployment, validation, and rollback processes
  • Ensure DevOps code quality, security, and consistency

Observability & AIOps

  • Implement monitoring and alerting using Datadog
  • Leverage AIOps for anomaly detection and alert correlation
  • Support faster root-cause analysis during incidents
  • Contribute to predictive analytics (capacity planning, failure prevention)

AI-Assisted Operations

  • Use AI copilots for troubleshooting and diagnostics
  • Build automated remediation and self-healing workflows
  • Generate and enhance runbooks and operational documentation using AI
  • Integrate AI-driven insights into daily operations

Platform & Database Support (Secondary)

  • Support PostgreSQL, MySQL, MSSQL, MongoDB, Elastic
  • Assist with HA/DR, backups, upgrades, and migrations
  • Ensure performance, reliability, and security of data systems

Collaboration & Governance

  • Create technical design docs, runbooks, and SOPs
  • Work with SREs, Automation Architects, and R&D teams
  • Improve scalability, cost efficiency, and operational maturity
  • Operate within ITIL-aligned environments

What You Bring

  • 5+ years in cloud production operations
  • Strong Kubernetes experience
  • Hands-on Terraform / IaC expertise
  • CI/CD experience with GitLab
  • AWS or GCP proficiency (multi-cloud preferred)
  • Strong scripting skills (Python, Bash, YAML, JSON)
  • Linux expertise
  • Experience with observability tools (Datadog preferred)

Nice to Have

  • AIOps / ML-driven monitoring experience
  • Exposure to AI-assisted DevOps workflows
  • IAM or regulated industry experience
  • ITIL / COBIT knowledge
  • Globally distributed team experience

Work Style

  • Hybrid: 3 days onsite (Tue-Thu)
  • Core hours: 9:00 AM - 4:30 PM (Mon-Fri)
  • Collaborative, high-security, fast-moving environment


All interested applicants who meet the qualifications listed above are invited to submit a resume by clicking "Apply Now."

The indicated pay range is a goodfaith estimate based on required qualifications, experience, training, and other factors permitted by law. It reflects the pay band established by the client company. Actual offers may vary depending on skills, experience, geographic location, and expected work quality. Most candidates start in the lower half of the range. Pay history is not considered where prohibited by law. This information serves as a general guideline for compensation discussions.

To support a fair and efficient hiring process, we may use artificial intelligence (AI) tools to help review applications. Our team carefully reviews all candidates, and AI is used only as a support tool-never as the sole decision-maker.