Aman Kothiyal
DevOps Engineer
•
https://www.linkedin.com/in/aman-kothiyal/
https://github.com/amankothiyal04
Dehradun, India
SUMMARY
Results-driven DevOps Engineer with 3+ years of experience designing CI/CD pipelines, automating cloud
infrastructure, and managing Kubernetes-based microservices on AWS. Expertise in Infrastructure as Code
Terraform, CloudFormation), container orchestration, and production monitoring using Prometheus, Grafana, and
CloudWatch. Proven track record of reducing deployment cycles, improving system scalability, and enhancing
reliability through cloud-native DevOps practices.
EXPERIENCE
Globallogic
Noida, India
Jun 2022 Aug 2025
Vodafone India Services Private Limited
Pune, India
Oct 2021 May 2022
Software Engineer DevOps
● Led end-to-end CI/CD architecture for 10+ microservices using Jenkins and GitHub Actions, standardizing
Docker builds and Kubernetes deployments across multiple client environments.
● Delivered Kubernetes-based deployments on Amazon EKS for Anaplan Platform Services, configuring Helm
charts, HPA, Ingress, and service orchestration for scalable microservices across multiple environments.
● Reduced deployment cycle time from 5 days to 2 days across 40+ environments by implementing service
version tracking and optimizing legacy artifact management.
● Architected AWS infrastructure using Terraform and CloudFormation, improving scalability by 30% and
minimizing configuration drift.
● Automated Docker image pipelines to Amazon ECR and streamlined release workflows using Jenkins, GitHub
Actions, and Harness.
● Strengthened observability by integrating AWS CloudWatch with Prometheus-Grafana monitoring stacks,
improving reliability and proactive incident management.
● Built infrastructure provisioning workflows using Terraform and Ansible for VM and Elasticsearch setup,
ensuring repeatable and consistent environments.
Graduate Engineer Trainee
● Built and optimized ETL pipelines using Ab Initio, Oracle Data Integrator ODI , and Teradata, improving data
processing efficiency by 25%.
● Implemented data quality and cleansing controls, reducing data errors by 20% and improving reporting
reliability.
● Collaborated with cross-functional stakeholders to streamline data workflows, enhancing operational
efficiency by 30%.
EDUCATION
Bachelor's Degree in Computer Science And Engineering • GPA 7.2
Lovely Professional University
SKILLS
DevOps & CI/CD Jenkins, GitHub Actions, Docker, Kubernetes, Harness
Infrastructure as Code: Terraform, AWS CloudFormation, Ansible
Cloud Platforms: AWS Lambda, EC2, S3, RDS, Load Balancer, API Gateway), Amazon EKS
Monitoring & Observability: Prometheus, Grafana, AWS CloudWatch
Programming: Python, Microservices Architecture, GraphQL APIs
Jan 2016 Dec 2020
Jalandhar, India
Data Engineering: Ab Initio, Oracle Data Integrator (ODI), Teradata, ETL Pipelines
PROJECTS
Ansible Auto-Heal NGINX Deployment
Designed and automated deployment and self-healing of NGINX servers using Ansible, reducing MTTR from 15–20
minutes to 2–3 minutes. Decreased downtime by 50% and reduced manual intervention by 70–80% across 3–5
EC2 instances in development and production. Integrated CloudWatch monitoring, systemd health checks, AWS
SES notifications, and GitHub Actions-based trigger automation to improve production reliability.
Technologies: Ansible, CloudWatch, AWS SES, GitHub Actions
Autoscaling Infrastructure With Terraform, Ansible & Github Actions
Engineered secure, self-managing AWS infrastructure using Terraform and Ansible, improving resource
management efficiency by 30%. Implemented intelligent scaling mechanisms, increasing system performance by
25% and improving uptime by 20%. Automated CI/CD workflows with GitHub Actions, reducing deployment time
by 40% while ensuring release consistency.
Technologies: Terraform, Ansible, GitHub Actions
BookYourCar – DevOps Implementation
Deployed Java Spring Boot microservice on AWS infrastructure, achieving 99.9% uptime and improving
scalability. Automated infrastructure provisioning with Terraform, reducing deployment time by 40%. Standardized
environments using Ansible-based configuration management to ensure deployment consistency.
Technologies: Java SpringBoot, AWS, Terraform, Ansible
CERTIFICATIONS
Certified DevOps Engineer
FullStack Labs
Cloud Native Foundations
Udacity
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