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Tier-1 brand, metro location, mid-level SRE title, and broad required skillset drive high competition.
Core SRE skills like Kubernetes, CI/CD and observability are broadly transferable across industries.
Multiple explicit years requirements and mandatory Kubernetes, cloud, scripting, and observability skills enforce strict filtering.
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Ensure reliability, scalability, and high availability of identity platform using cloud-native and on-prem infrastructure.
Build and maintain monitoring, alerting, observability pipelines, and robust CI/CD pipelines for safe and fast deployments.
Utilize AI tools to automate workflows, troubleshoot complex systems, and continuously improve reliability practices.
4+ years experience in Site Reliability Engineering, DevOps, System Administration, or Software Engineering.
3+ years experience with containerization/orchestration (e.g., Kubernetes, Docker) or cloud infrastructure (e.g., AWS).
2+ years experience with automation scripting/programming (Python, Bash, Go, PowerShell) and monitoring/observability tools (Splunk, Datadog, ELK).
Experience troubleshooting distributed systems and conducting root-cause analysis for production outages.
Experienced in leveraging AI-augmented engineering tools to optimize SRE workflows and system reliability.
Proficient in infrastructure as code (Terraform) and working within Agile/Scrum environments.
Experienced with designing service level objectives (SLOs), indicators (SLIs), and operational documentation to balance reliability and feature velocity.