Developer, Platform Engineering

## About the Role 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. ## Responsibilities ### 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. ### Cloud Managed Application Development - Build and support Azure resource deployments (Storage Accounts, Key Vault, EventHub, Azure SQL) and Databricks. ## Requirements - Experience with Azure and Databricks platform components. - Knowledge of Azure networking/security configurations (VNets, NSGs, route tables, private endpoints, RBAC). - Experience with Databricks resources including clusters, SQL warehouses, and Unity Catalog objects. - Familiarity with Terraform best practices and platform validation procedures. - Experience with code reviews, automated testing, and CI/CD validation steps. - Ability to develop reusable Terraform modules and standardize configurations. - Experience with IaC modules for Azure native resources and Databricks. - Ability to create SOPs, technical documentation, and onboarding guides. - Experience with diagnosing platform issues, analyzing logs/metrics, and supporting stability efforts. - Familiarity with Azure Monitor and Log Analytics. - Experience with monitoring Databricks jobs, clusters, and infrastructure health. - Ability to participate in troubleshooting sessions and contribute to meeting platform SLOs. - Experience with incident response efforts under the guidance of senior engineers. - Ability to assist during incidents by gathering diagnostic data, executing remediation steps, and communicating updates to internal teams as directed by senior or on‑call leads. - Familiarity with developing monitoring dashboards and alert rules for Databricks and Azure resources. - Experience with log ingestion pipelines and basic automation scripts. - Experience with Azure resource deployments (Storage Accounts, Key Vault, EventHub, Azure SQL) and Databricks. ## Nice to Have - Additional experience with cloud platforms or DevOps tools. - Advanced knowledge of automation and operational efficiency. - Strong communication and collaboration skills. - Experience with cross-functional team collaboration. ## Benefits - Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. - Work with cross functional teams like IAM, Network, Cloud Ops, Security, Client partners etc for integration, process automation, platform enhancement and delivery of new projects.