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Kollahema SundharamtechKS
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Kollahema Sundharamtech

@kollahemasundharamte

Cloud Operations & SRE engineer improving MTTR with IaC, GitOps, and observability.

India
Message

What I'm looking for

I’m looking for an automation-first Cloud Operations/SRE role where I can use IaC, GitOps, and observability to deliver faster MTTR, strong SLOs, and cost-controlled, governance-compliant reliability.

I’m a 2026 Computer Science graduate with 6 months of hands-on Cloud Operations and Site Reliability Engineering (SRE) experience at NextCX.ai. I delivered 25% faster Mean Time to Resolution (MTTR), 30% lower downtime, and 99.9% Service Level Agreement (SLA) uptime by implementing Infrastructure as Code (IaC), CI/CD pipelines, Kubernetes on Azure and AWS, ArgoCD GitOps, and Prometheus/Grafana observability.

I focus on automation-first operations: I track SLI/SLOs, manage error budgets, run incident management (L1→L3) with Root Cause Analysis (RCA) and runbook authoring, and apply cloud governance and FinOps cost control. I also build production-grade platforms—like a GitOps platform across AKS and EKS with automated rollbacks across microservices—and I’ve created an observability platform that improved visibility by 40% and reduced cloud spend by 15%. With security gates (OWASP, Trivy, SonarQube) and automation scripts that removed 40% of manual effort, I’m excited to keep raising reliability, compliance, and operational velocity.

Experience

Work history, roles, and key accomplishments

NE

DevOps Engineering Intern

NextCX.ai

Jul 2025 - Dec 2025 (5 months)

Monitored production Azure and AWS infrastructure 24x7 and triaged AKS/EC2/RDS incidents, reducing MTTR by 25% and downtime by 30% while maintaining 99.9% SLA uptime. Built secure CI/CD pipelines on Azure DevOps and GitHub Actions, reducing vulnerabilities by 40% and deployment failures by 30%, and automated remediation to remove 40% of manual effort.

Education

Degrees, certifications, and relevant coursework

KL University logoKU

KL University

Bachelor of Technology (B.Tech), Computer Science Engineering

2022 - 2026

Grade: CGPA 9.29/10 (Top 5%)

Pursued a B.Tech in Computer Science Engineering at KL University (2022–2026), achieving a CGPA of 9.29/10 (top 5%). Coursework included distributed systems and cloud computing.

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