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Tier-1 brand, metro Bengaluru, mid-level SRE role with broad skills increases applicant density and competition.
Cloud-native SRE skills are transferable, but 24x7 banking and specific toolset increase industry specificity.
Multiple mandatory technical skills, explicit 3–5 years, and 24x7 production experience make filters very strict.
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Own end-to-end reliability, availability, scalability, and cost of production distributed systems on AWS and GCP with an aim to improve uptime from 4 Nines to 5 Nines.
Participate in 24x7 on-call rotations handling high-severity incidents with full accountability for SLI/SLO/SLA management and operational metrics.
Design, deploy, and automate cloud infrastructure (Terraform, GKE), manage Kubernetes workloads, build CI/CD pipelines, and implement observability tools for proactive issue detection and resolution.
3–5 years of experience in SRE, DevOps, or Cloud Engineering with hands-on production-grade system management in 24x7 environments.
Strong technical skills in AWS services including EKS, Route53, RDS, S3, GCP (GKE, Compute, Networking), Terraform, Kubernetes, Docker, Jenkins, GitHub, Python and Shell scripting.
Proven expertise in troubleshooting distributed systems, Kubernetes environments, Linux fundamentals, and TCP/IP networking.
Experience implementing and managing observability tools such as Dynatrace and Grafana with strong incident management and reliability engineering knowledge (SLI/SLO/SLA, MTTR, MTTA).
Demonstrated expertise in AWS, Kubernetes (GKE), and Terraform with strong production troubleshooting skills in distributed, containerized environments.
Experienced in building automation to reduce operational toil and improve system availability in high-pressure, 24x7 production settings.
Solid understanding and practical application of SRE principles including incident management lifecycle, reliability metrics, and scalable system design within large distributed systems.