Cloud Infrastructure & Automation Engineer

Harsh Vinod Masane

New York 607-***-**** *******@**********.*** Linkedin GitHub Portfolio

SUMMARY

DevOps/Cloud Engineer with 2.5 years of experience designing and operating multi-cloud infrastructure, building automation pipelines, and managing containerized workloads. Skilled in infrastructure management tools (Terraform, Ansible), CI/CD automation, cloud network ing, and cloud security. Seeking a Cloud Engineer role to drive infrastructure automation and cloud operations. TECHNICAL SKILLS

•Programming: Python, Shell/Bash, PowerShell, Groovy, YAML, SQL

•OS & Database: Ubuntu, Linux, Windows, MySQL, MongoDB

•Networking: TCP/IP, UDP, DNS, IPv4/6, Subnet, Load Balancer, Troubleshooting

•Cloud Platforms: AWS (EC2, ECS, EKS, Lambda, IAM, VPC, S3, RDS, CloudWatch), GCP (Compute, IAM, Networking, GKE), Azure (IAM, VPC, VM, Secuity Controls, ACR, Storage Blob)

•DevOps Tools: Jenkins, Github Actions, Docker, Kubernetes, Ansible, Terraform

•Version Control: GitHub, Bitbucket, SVN

•Monitoring & Other: Grafana, Prometheus

PROFESSIONAL EXPERIENCE

Cloud/Infrastructure Intern(Remote) : Interlinked : Berkeley, CA, USA July 2025 – Dec 2025

• Architected and scaled AWS cloud infrastructure across 3+ environments, achieving system reliability through automated mechanis

-ms and monitoring.

• Collaborated with backend, infrastructure, and data team to support AI-driven applications used by public agencies.

• Implemented automated validation scripts for infrastructure components, catching 95% of configuration drift before production deployment.

DevOps Engineer : Edelweiss Global Markets : Mumbai, India June 2022 - Aug 2024

• Automated 20+ CI/CD pipelines using Jenkins, Python, Bash, and Groovy eliminating 80% of manual deployment errors and accelerating release cycles from 6 hours to under 2 minutes.

• Engineered Groovy-based Jenkins pipeline that automated build, test, tag, and deployment across Dev/QA/Prod environments boosting developer productivity by 90% and reducing time-to-market by quick release.

• Optimized Linux system performance by developing automated cleanup scripts that reclaimed 0.5TB storage and reduced CPU overhead by 22%, extending server lifespan.

• Enforced security compliance across Bitbucket, SVN, and Nexus repositories established IAM policies and access controls achieving 100% audit compliance with zero security incidents.

• Documented system standards and deployment processes, improving cross-team onboarding efficiency. PROJECTS

Cloud-Native E-Commerce Platform with GitOps:

• Designed and deployed a microservices based e-commerce platform on Kubernetes.

• Implemented CI/CD pipelines using Jenkins to automate build, test, Docker image creation, and registry push.

• Adopted GitOps practices using ArgoCD and Helm charts for declarative, automated Kubernetes deployments.

• Implemented monitoring and alerting using Prometheus and Grafana, tracking system performance and application metrics.

• Impact: Reduce API latency by 40% by integrating caching and performed load testing to simulate 1,000 users. Serverless Event Processing Pipeline

• Designed a Terraform-based serverless event processing pipeline on AWS.

• Implemented event routing with AWS Lambda, SNS, DynamoDB, and SQS priority queues (High/Low) with Dead Letter Queues.

• Integrated LLM-based analytics to generate automated event insights.

• Impact: Achieved 90% message delivery and created resilient processing for 4000+ daily events with no data loss. Live Chat Application:

• Deployed a scalable Flask-MongoDB chat application on Kubernetes(GKE) using Deployments, Services, and Persistent Volumes.

• Configured multi-replica web tier with NodePort exposure and internal database communication.

• Impact: Improved deployment speed enabled horizontal scaling from 1 to 3 instances, reduced environment inconsistencies to zero, and simplified dependency management across distributed teams. EDUCATION

Binghamton University, State University of New York, School of Computing, Binghamton, NY, USA Master of Science, Computer Science Aug 2024 – May 2026 Coursework: System Programming, Cloud Computing, Database Systems and Management Dwarkadas Jivanlal Sanghvi College of Engineering, Mumbai, India Bachelor of Engineering, Electronics Engineering Aug 2019 – May 2022

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