Site Reliability Engineer – Azure Operations, Databricks Support & Incident Response
Job description
Site Reliability Engineer – Azure Operations, Databricks Support & Incident Response
Waterloo or Toronto - Hybrid (Tuesday, Wednesday and Thursday)
Job Description
As an Intermediate Site Reliability Engineer, you will support and continuously improve enterprise Azure and Databricks platforms. The role focuses on production reliability, monitoring, incident response, availability, operational readiness and platform support. You will work with platform engineering, security, network, application and data teams to keep services stable, secure and supportable.
Key Responsibilities
- Monitor and support production Azure and Databricks environments, ensuring availability, performance and operational readiness.
Candidate Requirements / Must-Have Skills
- 3+ years of experience supporting Azure cloud infrastructure in production environments.
- 1+ years of hands-on experience supporting Databricks environments.
- Experience supporting Azure Storage services, including ADLS Gen2 and Blob Storage.
- Experience working with Azure networking concepts, including VNets, NSGs, private endpoints, DNS and routing.
- Understanding of Azure identity and security, including Entra ID, RBAC, managed identities and Key Vault.
- Hands-on experience with monitoring and observability platforms such as Azure Monitor, Log Analytics, Grafana, Prometheus, Dynatrace, Datadog or New Relic.
- Experience troubleshooting production incidents and participating in on-call support rotations.
- Experience following incident escalation, change management, root cause analysis and problem management processes.
- Experience working with JIRA, ServiceNow, operational runbooks and enterprise support procedures.
- 1+ years of Windows Server administration experience.
- 1+ years of Linux administration experience.
- Basic understanding of network troubleshooting and connectivity concepts.
Nice-to-Have Skills
- Experience supporting Databricks jobs, clusters, workflows, workspaces and user access.
- Understanding of Unity Catalog concepts, permissions and governance.
- 1+ years of Azure SQL operational support experience.
- 1+ years of Azure Data Factory operational support experience, including linked services, integration runtimes and Databricks orchestration.
- Understanding of Business Continuity and Disaster Recovery concepts, including RTO and RPO.
- Experience supporting AI/GenAI platforms, Azure OpenAI, model endpoints, RAG services or MLOps operations.
- Experience supporting enterprise data and analytics platforms.
- Experience with capacity review, platform health reporting, cost monitoring and performance troubleshooting.
- Strong communication, knowledge-sharing and documentation skills.
Soft Skills
- Strong troubleshooting and analytical skills.
- Ability to respond calmly and effectively to production incidents.
- Ability to work independently while escalating issues appropriately.
- Strong collaboration skills and the ability to work with engineering, platform, network, security and support teams.
- Strong organizational skills and the ability to manage work through JIRA and ServiceNow.
- Proactive, open-minded and willing to learn new technologies and operating models.
- Customer-focused mindset with a commitment to reliability and operational excellence.
- Ability to explain technical issues clearly and maintain accurate documentation.
Education
Bachelor's degree in Computer Science, Engineering, Information Technology or a related field, or equivalent practical experience.
Skills mentioned
- AI
- Analytics
- Azure
- Azure Data Factory
- Change Management
- Data Lake
- Databricks
- Datadog
- DNS
- Dynatrace
- Entra Id
- Grafana
- JIRA
- Linux
- Mlops
- Network Security
- Networking
- Observability
- Openai
- Operations Management
- Personal Care Assistance
- Prometheus
- Rbac
- Reporting & Documentation
- Root Cause Analysis
- Servicenow
- SQL
- Troubleshooting
- Vault
- VPN
- Windows Server
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