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Girish Kumar Reddy Moore

Girish Kumar Reddy Moore

DevOps & Observability Engineer

Technology / Internet

Bengaluru, Bengaluru Urban

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I’m a DevOps and observability engineer with over 6 years of experience in building, automating, and optimizing cloud-native infrastructure across Azure, AWS, and GCP. My expertise spans CI/CD pipelines, Terraform, Helm, Kubernetes, and cloud observability stacks (Prometheus, Grafana, Loki, Tempo, Mimir, OpenTelemetry, Datadog, Splunk, and New Relic).

I’m passionate about designing end-to-end observability architectures and implementing platform reliability, automation, and security at scale. Recently, I’ve been expanding into AI Observability, AIOps, and LLMOps, focusing on integrating RAG pipelines, vector databases, and telemetry insights to enhance AI-driven operations.

I enjoy solving complex infrastructure challenges, building self-healing systems, and continuously learning emerging technologies. I’m currently exploring opportunities where I can contribute to platform engineering, cloud observability, or AI-driven DevOps initiatives, preferably in a remote-first environment.

Devops engineer
Observability engineer
Cloud engineer
Platform engineer
Approximate rate: ₹ 1,200 per hour

Experience

Results-driven DevOps and Observability Engineer with over 6 years of experience in designing, automating, and managing cloud-native infrastructure across Azure, AWS, and GCP. Skilled in CI/CD pipeline development (Azure DevOps, GitHub Actions, Jenkins), Infrastructure as Code (Terraform, Helm, Bicep), and container orchestration using Kubernetes.

Expert in implementing end-to-end observability solutions using Grafana, Prometheus, Loki, Tempo, OpenTelemetry, and Splunk, enabling proactive monitoring, alerting, and performance optimization. Adept at improving system reliability, scalability, and security through automation and best practices.

Currently expanding expertise in AI Observability, LLMOps, and AIOps, focusing on integrating telemetry and automation into intelligent cloud operations.

Education

Completed multiple advanced hands-on training in Azure, AWS, Kubernetes, Terraform, and DevOps practices, along with continuous learning in observability, AIOps, and LLMOps to stay aligned with modern platform engineering trends.

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