Summary
Overview
Work History
Skills
Timeline
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KIRAN VASUKULA

London

Summary

A highly skilled DevOps Engineer with 5 years of experience in cloud computing, CI/CD, and infrastructure as code. Proficient in leveraging AWS Cloud, AWS DevOps, Terraform, DataDog, Docker, Kubernetes, and GitHub to streamline and automate development and operational processes.

Overview

5
5
years of professional experience

Work History

Senior Cloud and DevOps Engineer

TCS
03.2021 - Current
  • Architected and implemented scalable cloud infrastructure solutions on AWS, ensuring high availability and disaster recovery
  • Developed and maintained CI/CD pipelines using AWS DevOps, improving deployment efficiency and reducing lead time
  • Automated infrastructure provisioning and configuration management using Terraform and Pulumi, resulting in consistent and repeatable deployments
  • Integrated DataDog, AWS CloudWatch, and AWS CloudTrail for comprehensive monitoring and logging, enhancing system observability and proactive incident management
  • Containerized applications using Docker and orchestrated microservices using Kubernetes, optimizing resource utilization and scaling
  • Collaborated with development teams to implement best practices for version control using GitHub
  • Automated repetitive tasks and processes using Python scripts, increasing efficiency and reducing human error
  • Implemented infrastructure automation workflows using Pulumi with Python, improving deployment speed and consistency
  • Managed AWS Services including AWS Elastic Compute Cloud(EC2), Amazon Elastic Kubernetes Service (EKS), Amazon S3, and AWS Lambda
  • Conducted regular security audits and implemented compliance checks to ensure infrastructure met organizational standards
  • Implemented AWS Lambda for serverless processing, reducing infrastructure costs and complexity
  • Managed Amazon EKS, ensuring high availability and reliability of the application
  • Conducted root cause analysis on incidents and implemented corrective actions to prevent future occurrences
  • Optimized log retention and storage policies to balance cost and compliance requirements
  • Collaborated with development teams to ensure that applications emitted appropriate logs and metrics for monitoring
  • Provided training and documentation for team members on the use of monitoring and logging tools, promoting best practices and knowledge sharing
  • Conducted load testing and performance tuning to ensure the application could handle peak traffic loads.

DevOps Engineer

Optmas
02.2019 - 03.2021
  • Managed AWS Cloud resources, including EC2 instances, S3 buckets, and networking components
  • Implemented CI/CD pipelines with AWS CodePipeline and AWS CodeBuild, automating build, test, and deployment processes
  • Used Terraform and CloudFormation to define and provision infrastructure, ensuring consistency across multiple environments
  • Set up monitoring and alerting systems with AWS CloudWatch, DataDog, and AWS Cloud Trail, enabling real-time performance tracking and incident response
  • Deployed and managed Docker containers with AWS Elastic Container Service (ECS) or Amazon Elastic Kubernetes Service (EKS), facilitating the development and deployment of microservices
  • Assisted in the administration and maintenance of Kubernetes clusters on AWS EKS, improving system reliability and scalability
  • Automated routine maintenance tasks and deployments using Python and AWS Lambda or PowerShell scripts
  • Implemented AWS Config Rules and AWS Organizations to enforce organizational standards and compliance requirements across AWS resources
  • Developed custom scripts and tools using Python or AWS SDKs to automate various aspects of infrastructure management
  • Provided technical support and troubleshooting for production and staging environments on AWS, ensuring high availability and performance.

Skills

  • Cloud Platforms: AWS Cloud, Cloud Infrastructure, Cloud Solutions, Cloud Architecture
  • CI/CD: AWS DevOps, Continuous Integration, Continuous Deployment, GitHub Actions
  • Infrastructure as Code (IaC): Terraform, Pulumi, Infrastructure Automation, Configuration Management
  • Monitoring & Logging: DataDog, AWS CloudWatch, AWS Log Analytics, Monitoring Solutions, Log Management, Observability
  • Containerization: Docker, Container Management, Container Orchestration
  • Orchestration: Kubernetes, Microservices Architecture, Cluster Management
  • Version Control: GitHub, Git, Source Code Management
  • Scripting Languages: Bash, PowerShell, Python, Scripting Automation
  • Configuration Management: Ansible, Chef, Puppet

Timeline

Senior Cloud and DevOps Engineer

TCS
03.2021 - Current

DevOps Engineer

Optmas
02.2019 - 03.2021

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KIRAN VASUKULA