We are currently requesting resumes for the following position : Technical Specialist

Resume Due Date : September 2nd, 2026 (5:00PM EST)

Job ID : 26-086

Number of Vacancies : 1

Level : MP5

Duration : 12 Months

Hours of work : 35 Hoursper week

Location : 1908 Colonel Sam Dr., Oshawa

Work Mode : Hybrid – 3 days remote

Hourly Range : $90 – $95

Job Overview
We are seeking an experienced Azure & Databricks DevOps Engineer to design, automate, secure, and support cloud-based data platforms and DevOps capabilities across Microsoft Azure and Databricks. This role will be responsible for building scalable infrastructure, implementing CI/CD pipelines, managing platform reliability, and enabling data engineering teams to deliver high-quality analytics and data products efficiently.

Design, deploy, and manage cloud infrastructure on Microsoft Azure using Infrastructure as Code.

Build and maintain CI/CD pipelines for data engineering, analytics, and platform services.

Administer and support Azure Databricks workspaces, clusters, jobs, repos, workflows, and permissions.

Implement and manage Databricks Unity Catalog, including catalogs, schemas, external locations, storage credentials, and access controls.

Automate deployment of Databricks notebooks, jobs, workflows, libraries, clusters, policies, and workspace configurations.

Develop reusable DevOps frameworks and deployment templates for data platform teams.

Manage Azure services such as:

Azure Data Lake Storage Gen2

Azure Key Vault

Azure Synapse Analytics

Azure Data Factory

Azure Monitor / Log Analytics

Azure Functions

Implement security best practices including RBAC, managed identities, service principals, secrets management, private endpoints, network security,



and least-privilege access.

Support production operations, incident response, troubleshooting, monitoring, alerting, and performance optimization.

Collaborate with data engineers, architects, security teams, product owners, and application teams.

Manage environment promotion across development, UAT, and production environments.

Support cost monitoring and optimization for Azure and Databricks workloads.

Create and maintain technical documentation, runbooks, deployment guides, and operational procedures.

Qualifications

Proven experience as a DevOps Engineer, Cloud Engineer, Data Platform Engineer.

Strong hands-on experience with Microsoft Azure cloud services.

Hands-on experience with Azure Databricks administration and deployment automation.

Experience building CI/CD pipelines using one or more of:

Azure DevOps Pipelines

GitHub Actions

Jenkins

Strong Infrastructure as Code experience using:

Terraform

Experience with Databricks platform components, including:

Workspaces

Clusters

Jobs / Workflows

Repos

Libraries

Secret scopes

Cluster policies

Unity Catalog

Understanding of cloud identity and access management, including Azure AD / Microsoft Entra ID, RBAC, service principals, managed identities, and group-based access control.

Experience with monitoring and logging tools such as Azure Monitor, Log Analytics,



Application Insights, or Databricks system tables.

Familiarity with Git branching strategies, pull requests, code reviews, and release management.

Strong troubleshooting, communication, and documentation skills.

Our client is dedicated to promoting employment equity and encourages applications from equity-seeking communities including but not limited to: Indigenous Peoples, racialized individuals, persons with disabilities, and women. Our client aims to build a diverse team that reflects the communities it serves, enhancing its ability to meet their needs. We are committed to an inclusive and accessible work workplace and invites all qualified individuals to apply, offering accommodations during the application, interview and onboarding process as needed. This effort supports our client’s long-term strategy for equity, diversity, and inclusion.

CPUS Engineering employs artificial intelligence (AI) tools as part of its recruitment process to enhance efficiency and consistency. These tools may assist with activities such as application screening, candidate evaluation, and summarization of interview feedback.

AI-generated outputs are intended to supplement, not replace, human judgment. All final hiring decisions are made by qualified human decision-makers who exercise professional discretion in reviewing and assessing candidate information alongside any AI-generated insights.

CPUS Engineering ensures that the use of AI in recruitment complies with all applicable employment laws, human rights legislation, and privacy regulations. The organization is committed to maintaining fairness, transparency, and non-discrimination throughout the hiring process.

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📌 OPEN: Technical Specialist (Ontario)
🏢 CPUS Engineering Staffing Solutions
📍 Ontario