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Devops & Runops Engineer Resume

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New, JerseY

SUMMARY

  • 4+ years of experience as a Devops / Cloud engineer/ release engineer
  • Experience with AWS Cloud, Docker, Kubernetes (EKS), Jenkins, Route53, Shell Scripting, Jira and monitoring tools
  • Very good knowledge in Kubernetes cluster architecture, components and cluster administrations and Monitoring the cluster environments.
  • Building and Deploying applications in non - prod / prod environment using Jenkins / kubectl Container deployment
  • Experience logging and monitoring tools for analyzing the issues in Elasticsearch / Splunk / CloudWatch monitoring tools
  • Experience with Shell scripting, YAML and JSON and python scripting

TECHINAL SKILLS:

  • Platform
  • AWS, Kubernetes, Linux
  • Performance & Monitoring Tools environment
  • CloudWatch, Elasticsearch, Splunk
  • Devops Tools
  • Jenkins, GitHub, Lambda, ECR
  • CDN CloudFront
  • Tracking& Ticketing Tools
  • Service Now
  • Scripting Languages
  • Shell Script, Python
  • Communication Tools
  • Slack, Teams
  • Document library
  • Confluence
  • Network, Security & Backup
  • Internal/Loadbalncer, Amazon VPC
  • Security group, Container Security

PROFESSIONAL EXPERIENCE:

Confidential, New jersey

Devops & Runops engineer

RESPONSIBILITIES:

  • Working closely with business, transforming business requirements to technical requirements part of Design Reviews & Daily Project Scrums.
  • Managing the EKS clusters, node group, k8 workloads (Deployments, HPA, Stateful sets, and any K8s resources) services (DNS, Ingress), ECR repo and K8s secrets
  • Cloud provisioning - AWS services using Terraform
  • Onboarding AWS accounts for new projects for global footprint application and setting the Security groups, IAM and image templates
  • Developing the EKS platform and setting the environment on the application deployment process in AWS
  • Developing the Deployment and Services for new projects/services
  • Deploying the application in to Kubernetes and promoting in to every environment
  • Ongoing project production support.
  • Creating the Jenkins pipeline jobs for CI/CD and operations job
  • Supporting the AWS services creations EC2, RDS and SQS and elastic cache
  • Excellent communications and worked with agile team

Contractor

Confidential

RESPONSIBILITIES:

  • Build and supported environments consisting Testing, Development and Production
  • Create new EC2 instance in AWS, allocate volumes and giving Provisionals using IAM.
  • Created image of existing EC2 instance with all the required software for applications.
  • Created storage with amazon S3 to store data.
  • Managed IAM accounts (with MFA) and IAM policies to meet security audit & compliance requirements.
  • Created and managed users, roles and groups using the Amazon IAM.
  • Created alarms using CloudWatch for monitoring CPU, memory, disk space, network and billing amount.
  • Extensive knowledge on docker containers and building the container on Kubernetes services and pushing the images on ECR for testing activity
  • Performed the daily system administration tasks like managing system resources and end users support operations and security.
  • Day to day resolution on Linux based issued though SMS ticketing system in compliance to SLA cycles.

Confidential

Release & Data Analyst

RESPONSIBILITIES:

  • Collaborated with different teams for Release Planning and Data gathering for Quarterly releases
  • Experience with production forecast, Analysis of production forecast data, Planning the production, procuring parts ( releasing PO, coordinating with vendors for rescheduling of parts).
  • Excellent understanding SOA and release flows of change management process
  • Administrated the RBS internal release tools in Linux VM in VMware esx
  • Installed, Upgraded and Maintained the paches on the tools
  • Worked on server monitoring and alerting the systems in BMC, Splunk
  • Worked with team to setting up the log collections in Splunk
  • Involved in release Cals / planning meeting for release schedules
  • Dumped the data from one cluster to another cluster by using FTP servers
  • Assisted in exporting analyzed data to relational databases ( SQL Servers)
  • Implemented test script to support test driven development and continuous integration.
  • Phyton 3 knowledge.
  • Provided 24x7 on call support on a rotation basis.

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