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Rahul (RID : 13yvjl511bay6)

designation   DevOps

location   Location : Jaipur, India, ,

experience   Experience :  Year

rate   Rate: $20 / Hourly

Availability   Availability : 1 Week

Work From   Work From : Any

designation   Category : Information Technology & Services

Shortlisted : 3
Total Views : 228
Key Skills
EC2 ECS S3 RDS CI/CD Jenkins Azure DevOps AWS CI/CD

-DevOps Engineer-7+Years


 Having an overall experience of 7 years as DevOps Engineer.

 Design and Manage client’s cloud environment (AWS).

 Good exposure of Google Compute Cloud (GCP).

 Solid experience in cloud-based delivery.

 Strong knowledge of most of AWS services like EC2, ECS, S3, RDS, EKS, CloudFront etc.

 Solid Experience in Azure services like Azure AD, VM, Storage Account, APIM, Front door, AKS, Service bus etc.

 Solid experience in micro service based architecture: Docker, Helm Chart and Kubernetes.

 Solid experience in infrastructure as code: Cloud Formation and Terraform.

 Expertise knowledge in Linux server administration.

 In depth knowledge of web servers : Apache and NGINX.

 Hands on experience in managing databases: MYSQL, POSTGRES and MongoDB.

 Hands on experience in migration of databases, Backup and restore databases in cloud based solutions.

 Hands on experience in continuous integration and deployment tools: GitLab CI/CD, Jenkins, Azure DevOps and AWS CI/CD.

 Working knowledge of ansible.  Strong knowledge of Shell scripting.

 Basic knowledge of python programming.

 Hands on experience in Logging and Management tools: New Relic, ELK, Sumo Logic, PM2 and Grafana.


 AWS Solution Architect - Associate

 Amazon Web Services

 AWS DevOps Engineer - Professional

 Amazon Web Service

Technical Skills:

 Networking

 Cyberoam Firewall, Subnetting, Switching and Routing

 Web Server

 NGINX, Apache

 CI/CD Tools

 GitLab, Jenkins, Azure DevOps and Amazon CI/CD

 Logging and Monitoring Tools

 New Relic, Sumo Logic, PM2, Grafana

 Version Control


 Infrastructure as Code

 CloudFormation, Terraform, Kubernetes, Docker

 Database


 Cloud Providers

 AWS, Azure, GCP


Project Name: Habari

Duration: 10 months (Overall ~1.5 Years)

Habari application is the extended version of GT Bank application. This application provided various domains under one roof. Major features of the application include Music Play, shopping, Event management, Personal management. This will provide users with their virtual wallet which they can use to buy various goods from their wide range. It’s Africa's biggest application for all in one service.


 Managing AWS Infrastructure for development, staging and production environment.

 Design Resilient, highly available and fault-tolerant, Secure and Cost Optimized AWS architecture.

 Integration of more than 20 servers [EC2 Instances], Amazon Aurora Database, Load Balancer, Elastic Transcoding, Auto Scaling, Amazon Elasticsearch, CloudFront and Redis.

 Continuous Integration and Continuous deployment for development and staging environment.

 Integration of third parties tool Never bounce to filter fake emails id.

 Implementation of third parties tool sendy as promotional email sending service with Amazon SES.

 Implement and manage socket connection using Clastic Load Balancer with Proxy Protocol and Redis.

 Implementation of Video transcoding feature using Amazon Elastic Transcoder.

Project Name: Notary Cam

Duration: 5 months

Notary cam is the trusted global solution to securely and legally notarize documents online. Notary Cam also provides a secure, verifiable and independent witnessing service for high-valued business transactions, offering irrefutable evidence to any oral or written contract or agreement or ceremony.


 Dedicated work as a Devops engineer for 5 months to migrate current applications and Database.

 Design Resilient, highly available and fault-tolerant, Secure and Cost Optimized AWS architecture.

 Migrate esign processed data [1.5 TB] from Amazon EBS to Amazon EFS as a centralized solution in less than 30 minutes downtime with help for Amazon S3 and AWS Data Sync.

 Deploy micro service based solution for document processing separately with internal load balancer and auto-scaling policy.

 Implement Continuous Deployment and Continuous Integration using Amazon code build and code deployment pipeline with blue and green deployment process.

 Migration of self-managed MongoDB service to managed service MongoDB Atlas.

 Integration of centralized application logs into PM2 metrics.

 Implement Highly available application using Load Balancer and Auto scaling Policy. Socket level data stored as centralized in Amazon Redis service.

 Integrate automatic Snapshot feature using Amazon Snapshot Life Cycle Management.

 Continuously harmony with the development team to release features on time and resolve issues

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