Job Summary

We're looking for a Site Reliability Engineer, focused on building and operating the data and AI/ML infrastructure platform that powers NetApp's cloud-native data services. You'll work at the intersection of software engineering and infrastructure operations — designing systems for reliability, driving automation, and ensuring our platforms meet the highest availability standards for customers worldwide.

This is an infrastructure-focused SRE role, you'll own the reliability of large-scale Kubernetes clusters (including GPU workloads), streaming data pipelines (Kafka), and analytical compute infrastructure (Spark, Dremio) across hybrid-cloud and multi-cloud settings.

Job Requirements
5+ years in SRE, DevOps, Platform Engineering, or Infrastructure Engineering roles
Extensive experience with Linux (RHEL/CentOS), including shells, filesystems, kernel tuning, networking, and performance optimization
Deep expertise with Kubernetes at scale, including cluster administration, troubleshooting, networking, storage, RBAC,



and lifecycle management (on-premises and Rancher Kubernetes)
Hands-on experience operating GPU workloads on Kubernetes, including NVIDIA GPU Operator, device plugins, scheduling, and resource management
Solid experience managing Confluent Kafka in production, including operations, monitoring, performance tuning, and disaster recovery
Experience operating Apache Spark and/or Dremio, including cluster management, job scheduling, scaling, and performance optimization
Proficiency in Infrastructure as Code using Terraform, Helm, and GitOps workflows with ArgoCD/FluxCD
Proficiency in scripting and automation using Shell, Ansible, and Python, with a solid automation-first mindset
Experience with scheduling and orchestration tools such as cron jobs and Apache Airflow
Deep familiarity with monitoring and observability tools, including Dynatrace, Grafana, and Prometheus
Solid understanding of SQL and NoSQL databases, includi

📌 Software Engineer Sre Bengaluru
🏢 NetApp
📍 Bengaluru