Senior Site Reliability Engineer

Job summary

The Senior Site Reliability Engineer is tasked with ensuring the reliability, scalability, and resilience of an Azure-based cloud platform that supports a global Workforce-as-a-Service ecosystem. Key responsibilities include enhancing platform performance, automating operational tasks, and developing monitoring and alerting systems using tools such as Grafana, OpenTelemetry, and Azure Monitor.

Qualifications

• 7+ years of experience as a Site Reliability Engineer, Platform Engineer, DevOps Engineer, or Cloud Engineer, with significant hands-on experience in production environments.
• Strong hands-on experience with Microsoft Azure.
• Experience with Infrastructure as Code using Terraform.
• Experience building and maintaining CI/CD pipelines using GitHub Actions or Azure DevOps.
• Experience with observability tools such as Grafana, OpenTelemetry, Azure Monitor, or Log Analytics.
• Strong scripting skills using Python, Bash, or similar languages.
• Experience supporting distributed cloud platforms in production.
• Experience with incident management, root cause analysis, and post-incident improvements.
• Familiarity with GitOps principles and modern deployment practices.
• Experience with Azure Databricks is a strong advantage.
• Experience with SnapLogic or similar integration platforms is a plus.
• Preference for staying hands-on and solving technical problems directly, rather than moving into people management.

Responsibilities

• Improve the reliability, availability, and performance of the Azure platform and production environments.
• Build and enhance monitoring, logging, and alerting using Grafana, OpenTelemetry, Azure Monitor, and Log Analytics.
• Automate operational tasks and eliminate repetitive manual work using Infrastructure as Code and scripting.
• Design self-healing capabilities and automated remediation to reduce incidents and improve recovery times.
• Investigate production incidents, perform root cause analyses, and implement long-term improvements.
• Define, measure, and improve Service Level Indicators (SLIs) and Service Level Objectives (SLOs).
• Optimize platform performance, scalability, and operational efficiency.
• Collaborate with Cloud Engineers to enhance platform design, resilience, security, and operational reliability.
• Support Data and AI teams by improving the reliability of Azure Databricks environments.
• Help shape and raise engineering standards around observability, automation, and operational excellence.
• Continuously seek opportunities to reduce operational complexity and improve developer productivity.
• Act as a technical reference for reliability engineering, influencing technical decisions while remaining hands-on.

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Relocation