CanCap Group Inc. is part of privately-owned Canadian national financial services company with multiple verticals across automotive, consumer, and merchant lending portfolios. We manage the entire lifecycle of the finance receivable from credit adjudication through to contract administration, customer service, default management and post charge-off recoveries. We are a company of innovators, we learn from each other, respect each other and create together. When it comes to our customers, partners, and each other, we are always motivated by doing the “right thing”. We are always looking to find the best people and the right methods that allow us to meet this goal and look to the future for growth.

PREFERRED QUALIFICATIONS

• GCP certification (e.g., Cloud DevOps Engineer, Cloud Security Engineer).
• Databricks certification
• Experience with multi-cloud environments.
• Exposure to data engineering pipelines and ML platform management.
• Understanding of networking concepts (VPC, firewall rules, peering, etc.) in GCP.
• Hands-on experience in MLOps, DataOps, or platform SRE practices.
• Knowledge of data governance, lineage, and privacy frameworks (e.g., GDPR, HIPAA).

• Provision and manage Databricks workspaces across development, test, and production environments.
• Set up and configure GCP services including networking, IAM, Cloud Storage etc.
• Implement and maintain IAM policies and role-based access controls across GCP and Databricks environments.
• Supporting applications and projects with infrastructure design decision, and monitoring solution
• Performing complex application programming activities, including coding, testing, debugging, documenting, maintaining, and modifying complex applications.
• Collaborate with data engineering and security teams to ensure compliance with cloud security best practices and organizational standards.
• Contribute to building AI/ML infrastructure, including feature stores, model training pipelines, and model deployment frameworks.
• Build automation around infrastructure provisioning, CI/CD pipelines, observability, and cost management.
• Ensure platform security, availability, and compliance through robust access control, auditing, and data governance practices.
• Monitor platform usage, optimize performance, and ensure high availability and reliability of cloud environments.
• Automate platform operations using Infrastructure as Code (IaC) tools like Terraform.
• Conduct security reviews, manage secrets, and monitor audit logs for anomalous activity.
• Assist in incident response and troubleshooting across platform layers.
• Maintain documentation related to platform architecture, procedures, standards, configurations, permissions structures and access control policies.
• Develop and enforce best practices for Databricks security, governance, and resource optimization.
• Design and implement scalable Databricks workspaces and clusters, optimizing cost efficiency and performance.
• Participate in design reviews with peers and stakeholders to determine the best Databricks configurations and integrations.
• Monitor and optimize Databricks notebooks, jobs, and workflows to enhance efficiency and reliability.
• Maintain and contribute to documentation and best practices for Databricks environments.
• Troubleshoot and resolve Databricks platform issues, identifying root causes of system performance bottlenecks.
• Create and review technical design documents, understand how the design will be used in the code development process, and facilitate meetings to design, troubleshoot, and execute projects