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Site Reliability Engineer - I
Calix
Bengaluru, IND
Full-time
Entry
Hybrid
Discovered 3 weeks ago
ArgoCDGitCI/CDGitOpsGKEGrafana
Free
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ArgoCDGitCI/CD
Key Skills for This Role
ArgoCDGitCI/CDGitOpsGKEGrafana
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Key Responsibilities
- GitOps & Deployments : Deploy, roll back, and manage the lifecycle of containerized applications using ArgoCD pipeline workflows.
- Alert Triage & Resolution : Act as the first line of defense to investigate, troubleshoot, and resolve infrastructure, OS-level, application, and network alerts.
- Network Troubleshooting : Diagnose connectivity and latency issues across all network layers, isolating problems between cloud VPCs and Kubernetes overlays.
- OS Troubleshooting : Diagnose deep Operating System bottlenecks including CPU throttling, memory leaks, and storage constraints on GKE worker nodes.
- AIOps Utilization : Use AI-driven operations tools to interpret correlated events, anomaly detections, and automated root-cause insights.
- Incident Response : Participate in on-call rotations, using Grafana dashboards and AIOps suggestions to quickly mitigate production container issues.
Required Technical Skills
- CI/CD & GitOps : Practical experience deploying and managing applications using ArgoCD and Git version control systems.
- Networking : Comprehensive knowledge of all layers of networking (OSI model) , with practical troubleshooting skills in Layer 7 (Application) : HTTP/S, DNS, gRPC, and SSL/TLS handshakes ; Layer 4 (Transport) : TCP/UDP mechanics, three-way handshakes, and port allocation; Layer 3 (Network) : IP routing, CIDR blocks, Subnetting, and ICMP; Kubernetes Networking : Understanding of Pod-to-Pod communication, Services, Ingress controllers, and CNI plugins.
- Operating Systems : Strong, deep foundational knowledge of Linux (Ubuntu, Debian, or Container-Optimized OS) internals, process management, file systems, and kernel parameters.
- System & Network Utilities : Proficiency with command-line diagnostic tools (e.g., tcpdump , curl , dig , traceroute , top , iostat ).
- AIOps Concepts : Familiarity with AI-driven operations, event correlation, anomaly detection, and automated noise reduction.
- Observability : Foundational experience with the Grafana Labs ecosystem (Grafana, Mimir/Prometheus, Loki, Tempo).
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