Anmeet Chawla

Pune, Maharashtra, India

Since April 15, 2026

About

Site Reliability and Automation Engineer with 3+ years of experience in designing Kubernetes-based infrastructure, building CI/CD pipelines, and automating multi-vendor network environments using Python, Terraform and AWS. Experienced in cloud- native deployments, infrastructure-as-code, and scalable microservices platforms.

Skills

Site Reliability EngineeringAWS Cloud ServiceAzure DevopsGoogle Cloud Platform(DevSecOps)Linux AdministrationPythonDocker / KubernetesNetwork TroubleshootingBashPowershellScriptingAutomationAnsible

Key Strengths

Strong foundational knowledge in Kubernetes (EKS), CI/CD, Python, Terraform, and AWS, directly relevant to Site Reliability Engineering.
Demonstrated experience in automating multi-vendor network environments and implementing infrastructure-as-code.
Quantifiable achievements in improving operational efficiency, including 85% network discovery automation, 70% deployment efficiency increase, and 95% CI/CD pipeline automation.
Experience with monitoring tools like Grafana/Prometheus and a focus on Root Cause Analysis.
Certifications in CCNA and DevOps Engineering with AI indicate a commitment to continuous learning and relevant skill development.
Exposure to Software-Defined Networking (SDN), MPLS, and SD-WAN concepts.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data due to a psychometric test score of 0/500. Cannot objectively assess cultural alignment or interpersonal dynamics.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Strong foundational knowledge in Kubernetes (EKS), CI/CD, Python, Terraform, and AWS, directly relevant to Site Reliability Engineering.
Demonstrated experience in automating multi-vendor network environments and implementing infrastructure-as-code.
Quantifiable achievements in improving operational efficiency, including 85% network discovery automation, 70% deployment efficiency increase, and 95% CI/CD pipeline automation.
Experience with monitoring tools like Grafana/Prometheus and a focus on Root Cause Analysis.
Certifications in CCNA and DevOps Engineering with AI indicate a commitment to continuous learning and relevant skill development.
Exposure to Software-Defined Networking (SDN), MPLS, and SD-WAN concepts.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data due to a psychometric test score of 0/500. Cannot objectively assess cultural alignment or interpersonal dynamics.

Soft Skills & Operational Fit