Anshul Rana
@anshulrana
I automate AWS infrastructure, CI/CD, observability, and AI-driven root-cause analysis for reliable production systems.
What I'm looking for
At Palo Alto Networks, I optimize CI/CD delivery and automate operational workflows for a flagship product, reducing creation turnaround time from five days to three. I also built Amazon Bedrock-powered root-cause analysis for Jenkins failures, cutting MTTR by 40% across 50+ active jobs.
I bring five years of DevOps experience migrating legacy applications and Jenkins pipelines from on-premises environments to AWS. At CyberArk, I improved deployment time by 45%, standardized infrastructure with modular Terraform, and rolled out Datadog Synthetic Monitoring to strengthen uptime and incident response.
Previously at To The New, I managed AWS migrations, Ansible dynamic inventory for more than 200 servers, Terraform-based infrastructure standards, and ELK and Prometheus-Grafana observability stacks. I also led a DevOps BootCamp and mentored more than 35 candidates in CI/CD and containerization.
I enjoy building secure, highly available systems through automation, monitoring, DevSecOps practices, and practical AI workflows that reduce operational effort and improve reliability.
Experience
Work history, roles, and key accomplishments
Optimized CI/CD pipelines and automated manual processes, reducing product creation turnaround from 5 days to 3 days. Implemented AI-driven observability solutions using AWS Bedrock for Jenkins and database RCA, reducing MTTR by 40%.
Led Datadog Synthetic Monitoring rollout and migrated legacy applications and Jenkins pipelines to AWS, improving deployment time by 45%. Developed Ansible dynamic inventory and modular Terraform configurations, and implemented DevSecOps security checks.
Migrated applications and Jenkins pipelines to AWS, implemented Ansible dynamic inventory for over 200 servers, and led a DevOps BootCamp mentoring 35+ candidates. Built ELK and Prometheus-Grafana stacks for monitoring and cost optimization.
Education
Degrees, certifications, and relevant coursework
Graphic Era Deemed to be University
Master of Computer Applications, Computer Application
2019 - 2021
Grade: 8.81 CGPA
Master's in Computer Application with a CGPA of 8.81.
Graphic Era Deemed to be University
Bachelor of Computer Applications, Computer Application
2016 - 2019
Grade: 7.34 CGPA
Bachelor's in Computer Application with a CGPA of 7.34.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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