Summary
Overview
Work History
Education
Skills
Websites
Timeline
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RONAK AMIN

Harleysville,PA

Summary

Experienced Cloud & DevOps Engineer with a strong background in designing, deploying, and managing cloud infrastructure at enterprise scale. Skilled in automating testing processes, provisioning AI/ML-ready infrastructure, and supporting AI-powered monitoring and anomaly detection systems. Proven ability to support mission-critical AWS and Azure production environments with high availability and scalability. Proficient in Linux systems engineering, CI/CD pipelines, Infrastructure as Code, and Bash/Python scripting. Adept at collaborating with cross-functional teams including software engineers, QA, and data science teams to deliver exceptional results in fast-paced environments.

Overview

8
8
years of professional experience

Work History

Cloud Infrastructure & Security Engineer

SEI
Oaks, PA
01.2026 - Current
  • Administered a robust multi-tenant elastic cloud MSSP/MDR environment, effectively managing 416 GB of primary data, 910 indices, and 1,085 primary shards for diverse enterprise clients.
  • Managed Azure cloud infrastructure across 3 subscriptions (Sphere Production, SphereServices, Client Log Monitoring), including VMs, Application Gateways, resource groups, and SSL policy configuration
  • Performed RHEL 8 Linux server patching and lifecycle management, including pre-patch snapshots for disaster recovery on Azure-hosted servers
  • Built and maintained Elastic Agent/Fleet integration policies for custom log ingestion from Palo Alto firewalls, Aruba firewalls, and Windows/Linux endpoints across multiple client environments
  • Engineered custom Elasticsearch index templates with ILM policies, field mappings, and aliases for client-specific data pipelines (e.g., Palo Alto, syslog, USB event logs)
  • Authored Elastic Security detection rules (KQL/EQL) for threat monitoring, including user account lifecycle events across Windows Event Log and Azure Audit Logs
  • Automated infrastructure operations using Ansible (roles such as sphere-squid) for Squid proxy server management across client environments
  • Configured SAML/proxy authentication, Logstash JSON parsing pipelines, and Elasticsearch elasticsearch.yml tuning for multi-client log routing
  • Conducted network traffic analysis and troubleshooting across Linux syslog, Jenkins CI/CD pipelines, and Windows jump box environments

Cloud Engineer

RCH Solutions
Philadelphia, PA
06.2022 - 04.2025
  • - Supported and operated mission-critical AWS production environments (EC2, S3, RDS), ensuring high availability, performance, and cost efficiency.
  • - Leveraged AI-powered monitoring tools (CloudWatch + ML Insights) for anomaly detection and predictive alerting, reducing incident response time by 35%.
  • - Automated infrastructure provisioning and deployments using Terraform and AWS-native tools, reducing manual effort and release risk.
  • - Built Bash and Python scripts to streamline IT operations, system maintenance, and deployment workflows.
  • - Supported and automated ETL and AI/ML data pipelines handling structured and unstructured data with a focus on reliability and scalability.
  • - Troubleshot and resolved production software, Linux OS, and infrastructure issues, minimizing downtime and supporting business-critical applications.
  • - Collaborated with software engineers, QA, and data science teams to support smooth releases and ongoing operational stability.
  • Remote

System Engineer

Elsevier
Philadelphia, PA
06.2018 - 06.2022
  • - Spearheaded implementation of transformative AWS infrastructure changes resulting in substantial monthly cost reduction.
  • - Demonstrated proficiency in EC2, S3, and RDS to deliver optimized system performance across global research publishing platforms.
  • - Streamlined daily workflows by automating infrastructure code using AWS and Terraform, freeing up valuable time and resources for the engineering team.
  • - Integrated AI-assisted CDM workflows into Elsevier's cloud ecosystem using Terraform and AWS-native tools.
  • - Automated ETL processes that handled structured and unstructured clinical data to support AI-driven research analytics.
  • - Worked cross-functionally to integrate cloud workflows and continually sought new opportunities for optimization and growth.

Education

Bachelor of Science - Information Systems, Business Administration

Drexel University
Philadelphia, PA
06-2018

Skills

  • - Linux Systems Engineering: RHEL, CentOS, Ubuntu
  • - AWS Cloud Services: EC2, S3, RDS, Lambda, CloudWatch
  • - DevOps Automation: Ansible, Terraform, CloudFormation
  • - CI/CD Pipelines: Jenkins, GitHub Actions
  • - Bash & Python Scripting
  • - Hybrid & Virtual Infrastructure Docker Containers Kubernetes
  • - Network Fundamentals: DNS, Load Balancing, HADR
  • - Monitoring, Alerting & Log Analysis AI-Powered Anomaly Detection
  • - Infrastructure as Code (IaC): Terraform, CloudFormation
  • - GitHub Version Control: Branching, Tagging, PR Workflows
  • - Release Readiness & Operational Runbooks
  • - Azure: VMs, VNets, NSGs, AKS, Azure ML, Azure OpenAI Service

Websites

Timeline

Cloud Infrastructure & Security Engineer

SEI
01.2026 - Current

Cloud Engineer

RCH Solutions
06.2022 - 04.2025

System Engineer

Elsevier
06.2018 - 06.2022

Bachelor of Science - Information Systems, Business Administration

Drexel University