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Fortune-100 brand, mid-level SRE role, metro location, and broad required skills increase competitive density.
Requires SRE, Azure, observability and automation experience, limiting cross-industry transferability.
Explicit 6+ years plus mandatory Azure, observability, automation, and ITIL experience create strict filters.
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Implement Site Reliability Engineering practices focusing on automation, observability, AIOps, Gen AI, and self-healing to improve production reliability and reduce manual toil.
Support production reliability and operational readiness of applications and platforms primarily in Azure Cloud, including incident response and continuous improvement.
Collaborate across application, infrastructure, cloud, security, operations, and leadership teams to strengthen reliability, automate operational tasks, and modernize production service support.
Bachelor's degree in IT, Computer Science, Engineering, or equivalent experience.
6+ years of experience in SRE, DevOps, Production Support Engineering, Cloud Operations, Automation Engineering, or related roles.
Strong experience with observability/APM tools (e.g., Splunk, AppDynamics, Dynatrace, Datadog, New Relic, Azure Monitor) and automation/DevOps tools (e.g., Azure DevOps, GitHub Actions, Jenkins, Ansible, Terraform).
Hands-on experience supporting production applications in Azure Cloud and working in ITIL-based operational environments.
Experienced in implementing and managing AI-enabled operations including AIOps, Gen AI use cases such as anomaly detection, log analysis, and incident summarization.
Skilled in cross-functional collaboration with engineering, operations, cloud, security, and leadership teams in large-scale enterprise environments.
Operational mindset balancing innovation with reliability, security, compliance, and continuous improvement in global, hybrid work settings.