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Tier-1 brand, metro Bengaluru location, and in-demand SRE skillset increase applicant competition.
Role requires specialized SRE/cloud infrastructure expertise, so candidates must have domain-specific backgrounds.
Explicit 6-8 years plus extensive mandatory Azure, Kubernetes, CI/CD, and IaC skills create high prefiltering.
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Own reliability, scalability, and performance of data engineering systems on Azure Cloud.
Develop and manage infrastructure as code (Terraform, ARM templates) and automate deployment with CI/CD tools (Azure DevOps, Argo, Helm, K8s).
Implement continuous monitoring, alerting, and incident resolution to maintain high availability and optimize system performance.
6-8 years of hands-on experience with large scale, high availability data engineering solutions.
Strong experience with Azure Cloud platform, Azure DevOps, and Azure PaaS components.
Proficiency in Kubernetes administration and container tools (Docker, Helm, K8s).
Bachelor’s or Master’s degree in Computer Science, Information Science, or equivalent engineering field.
Experienced in designing scalable, high-throughput systems with solid background in SRE practices including SLOs, SLIs, and error budgets.
Skilled at infrastructure automation using Terraform, YAML, and CI/CD with Azure native tools and cloud security best practices (DevSecOps).
Comfortable working with monitoring/observability tools like ELK stack, Prometheus, Grafana, and managing cloud-native data pipelines on Azure.