Developer

Requisition ID: 255026 

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Platform Engineer will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabank’s most significant enterprise-wide strategic initiatives. This organization drives data enabled decision making, AI innovation, and technology modernization across the Bank.

The Platform Engineer will work under the guidance of Sr Engineers/Platform Leads to build, tune, manage infrastructure, DevOps, monitor troubleshoot, enhance, enable new features & provide Ops Support on Data & AI platform(s) as per banks Data & AI strategy. This consists of working with cross functional teams like IAM, Network, Cloud Ops, Security, Client partners etc for integration, process automation, platform enhancement and delivery of new projects.

Is this role right for you? In this role, you will:

• Guidance and Collaboration: Work closely with senior engineers and platform leads to understand goals, deliver assigned tasks, and support team objectives. Contribute to platform improvements and provide regular updates on progress.
• Technical Execution: Support the design, deployment, and maintenance of Azure and Databricks platform components. Work with Azure networking/security configurations (VNets, NSGs, route tables, private endpoints, RBAC).Assist in implementing and maintaining Databricks resources including clusters, SQL warehouses, and Unity Catalog objects.
• Quality Assurance: Ensure high‑quality delivery by following established coding standards, Terraform best practices, and platform validation procedures. Participate in code reviews, automated testing, and CI/CD validation steps.
• Process Improvements: Contribute to automation and operational efficiency by developing reusable Terraform modules and standardizing configurations. Build and maintain IaC modules for Azure native resources and Databricks. Participate in creating SOPs, technical documentation, and onboarding guides.
• Monitoring and Troubleshooting: Assist in diagnosing platform issues, analyzing logs/metrics, and supporting stability efforts. Help maintain observability using Azure Monitor and Log Analytics Monitor Databricks jobs, clusters, and infrastructure health.
• Platform Reliability Support: Participate in troubleshooting sessions and contribute to meeting platform SLOs. Support incident response efforts under the guidance of senior engineers.
• Incident Management Support: Assist during incidents by gathering diagnostic data, executing remediation steps, and communicating updates to internal teams as directed by senior or on‑call leads.
• Observability Tooling: Help develop monitoring dashboards and alert rules for Databricks and Azure resources. Contribute to log ingestion pipelines and basic automation scripts.