Open to opportunities

Sundar K

@sundark

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Cloud engineer focused on automation, monitoring, and secure, reliable infrastructure.

India

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What I'm looking for

I’m looking to build and improve cloud platforms where automation, monitoring, and security are non-negotiable. I want to own reliability (autoscaling, DR/HA), optimize performance, and deliver scalable deployments that accelerate GenAI workloads.

I’m a Cloud Engineer building cloud-native systems that scale safely and stay resilient in production. At E2E Networks, I designed CI/CD pipelines that reduced deployment errors by 40% and cut release times by 25%, so teams can ship faster with confidence.

I also lead infrastructure automation with Terraform and Ansible, deploying scalable self-healing environments and cutting provisioning time by 60%. I’ve built monitoring with Prometheus, Grafana, and the ELK stack (boosting uptime by 35% and reducing MTTR by 40%), optimized Xen/KVM performance by improving resource utilization by 25%, and strengthened security through IAM policies, automated vulnerability scans, and security group audits—reducing risks by 30%.

Experience

Work history, roles, and key accomplishments

Current

Cloud Engineer

Current

E2E Networks

Sep 2023 - Present (2 years 7 months)

Designed streamlined CI/CD pipelines, reducing deployment errors by 40% and cutting release times by 25%. Deployed self-healing multi-cloud infrastructure with Terraform and Ansible, improving uptime by 35% (MTTR -40%), reducing security risks by 30%, and enabling 99.99% DR/HA across multi-AZ and cross-region replication.

CI CD Pipelines Terraform Ansible Prometheus Grafana ELK Stack Kubernetes Disaster Recovery

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology

Bachelor of Technology in Computer Science and Engineering, Computer Science and Engineering

2019 - 2023

Grade: 8.01/10

Activities and societies: Film DB using Amazon S3 (Jun 2022): scalable film database management system with optimized access controls; reduced file retrieval latency by 30%.

Bachelor of Technology in Computer Science and Engineering at Vellore Institute of Technology (Jun 2019–Aug 2023), graduating with CGPA 8.01/10. Built a scalable Film DB using Amazon S3 with optimized access controls to reduce retrieval latency by 30%.