CHANUKYA REDDY
Hyderabad,Telangana
Summary
Experienced AWS DevOps Engineer with 5 years of hands-on experience in designing, developing, deploying, and managing cloud-native microservices and SaaS applications in dynamic environments. Proficient in setting up CI/CD pipelines, automating infrastructure using Terraform, and managing containerized applications using Docker and Kubernetes. Skilled in AWS and Azure platforms, including AWS Elastic Beanstalk, AWS Lambda, and Azure DevOps. Adept at driving innovation through prototyping, proof-of-concept development, and automation. Possesses strong knowledge of cloud security, networking, and monitoring technologies such as AWS CloudWatch and Nagios. Bilingual DevOps Engineer with a background in designing, testing, and implementing infrastructure and applications. Demonstrates exceptional problem-solving skills through the use of source control tools to identify and fix bugs in code. Excels as a team player with exemplary multitasking abilities.
Overview
5
5
years of professional experience
Work History
DevOps Engineer
Motorola Solutions India Pvt Ltd
08.2022 - 11.2023
- Developed and managed AWS Infrastructure hosting plans, deployed workloads on AWS Elastic Compute Cloud (EC2) instances, and designed EC2 instance storage, demonstrating proficiency in implementing Amazon Machine Images (AMIs) and Elastic Block Store (EBS) volumes
- Configured AWS Elastic Load Balancing, load balanced sets, and Route 53, demonstrating expertise in TCP/IP networking concepts including DNS, and DHCP
- Leveraged AWS VPN connections, Virtual Private Cloud (VPC), AWS IAM, and AWS WAF for secure network configuration and management
- Effectively mapped workloads to AWS capabilities for public, private, and hybrid clouds; implemented high availability with AWS Elastic Beanstalk and AWS CloudFormation deployment models
- Managed greenfield project implementations using Docker and Amazon Elastic Kubernetes Service (EKS) for secure networking and CI/CD pipelines
- Utilized Terraform for managing Kubernetes resources and created infrastructure components such as AWS Elastic Beanstalk, AWS Lambda, VPCs, Route 53 settings, Routing, Security Groups, Elastic Load Balancers, and CloudWatch
- Automated Continuous Integration builds, nightly builds, deployments, and unit tests across multiple different environments (DEV, QA, production) each constituting different types of servers of each type using Git, AWS CLI, and AWS Code Build/Code Deploy
- Implemented IAM on AWS IAM for creating roles, users, and groups, enhancing security with MFA
- Managed greenfield project implementations using Docker and Amazon Elastic Kubernetes Service (EKS) for secure networking and CI/CD pipelines
- Utilized Terraform for managing Kubernetes resources and created infrastructure components such as AWS Elastic Beanstalk, AWS Lambda, VPCs, Route 53 settings, Routing, Security Groups, Elastic Load Balancers, and CloudWatch
- Managed AWS IAM users, groups, and roles, integrated on-premises Active Directory with AWS IAM, and configured multi-factor authentication (MFA) and federated single sign-on (SSO)
- Established end-to-end pipeline workflows, integrating source code from Git repositories to deployment on servers, utilizing AWS Code Pipeline
- Demonstrated proficiency in Docker, including image creation, usage from Docker Hub, and managing private Docker registries
- Translated Docker experience to AWS, utilizing Amazon Elastic Container Registry, Amazon Elastic Container Service, and Amazon Elastic Kubernetes Service
- Implemented Amazon Elastic Block Store (EBS) volumes and Amazon Elastic File System (EFS) for high availability and persistence in containerized environments
- Configured AWS Networking components, including Security Groups and AWS VPC networking
- Leveraged AWS Code Pipeline for CI/CD and utilized Amazon Elastic Container Registry for secure image storage
- Contributed to AWS roles such as AWS Administrator, DevOps Engineer, and Solution Architect in managing AWS resources.
- Maintained version control systems like Git or SVN for seamless collaboration among developers and engineers during project lifecycles.
- Improved code deployment efficiency by automating processes with CI/CD pipelines.
DevOps Engineer
Veritas Technologies ( CYNORSYS PAYROLL )
02.2021 - 07.2022
- Leveraged Linux and Windows operating systems to optimize system performance and compatibility within AWS environments
- Employed Shell Scripting (Bash), YAML, and Groovy for automation and configuration management tasks in AWS
- Utilized Git, GitHub, and Bitbucket for version control of infrastructure code and application source code
- Integrated Maven and Gradle as build tools for building and managing dependencies of Java applications in AWS
- Implemented SonarQube for continuous code quality assessment and improvement within AWS pipelines
- Managed project workflows and issue tracking using Jira for seamless collaboration and task management
- Configured Apache Tomcat and Apache servers to host and serve web applications within AWS environments
- Orchestrated infrastructure provisioning and management using Terraform for Infrastructure as Code (IaC) practices in AWS
- Implemented Jenkins as a CI tool for automating build, test, and deployment pipelines in AWS
- Managed artifact repositories using Nexus for storing and distributing software artifacts within AWS environments
- Orchestrated configuration management tasks across AWS infrastructure using Ansible for efficient and consistent deployments
- Implemented Docker and Docker Swarm for containerization and deployment of microservices in AWS
- Monitored system health and performance using Nagios and AWS CloudWatch for proactive management and troubleshooting in AWS cloud environments.
- Maintained version control systems like Git or SVN for seamless collaboration among developers and engineers during project lifecycles.
- Designed and implemented containerization strategies using Docker and Kubernetes, improving resource utilization and management.
Azure DevOps Engineer
Mavenir System Private LTD ( CYNORSYS PAYROLL )
05.2019 - 01.2021
- Developed, configured, and deployed AWS Automation Scripts for various applications utilizing the AWS stack (including EC2, S3, Lambda, RDS, CloudFormation, ECS, and IAM), Services, and Utilities focusing on Automation
- Established an application environment to ensure high availability across different AWS regions by utilizing CloudFront, Route 53, Elastic Beanstalk, IAM, SQS, Recognition, S3, Elastic Cache, and RDS
- Implemented AWS Identity and Access Management (IAM) to manage access control and permissions within our team, ensuring least privilege principles are followed
- Developed cloud modules for interacting with AWS services, facilitating the creation and orchestration of infrastructure on AWS and automated cloud-native applications using AWS Lambda and AWS Elastic Kubernetes Service (EKS)
- Configured Network Access Control Lists (NACLs) to control traffic flow to and from AWS resources, defining inbound and outbound rules and associating them with subnets and network interfaces
- Managed AWS Infrastructure hosting plans, deployed workloads on AWS EC2 instances, and designed EC2 storage, demonstrating proficiency in implementing AMIs and EBS volumes
- Configured AWS Elastic Load Balancers, target groups, and Route 53 DNS routing, demonstrating expertise in TCP/IP networking concepts
- Engaged in Serverless services (AWS Lambda) where I created and configured triggers and integrated with CloudWatch for monitoring and load testing, also configured dashboards with relevant metrics and logs
- Established CI/CD pipelines for Python applications in Jenkins by integrating source code repositories like Git, GitHub, Bitbucket, and artifacts
- Created deployment environments such as testing, staging, and production in AWS EKS clusters
- Utilized Terraform for Infrastructure as Code (IaC) to provision and manage AWS resources, ensuring consistency and reproducibility
- Implemented Docker and Kubernetes for containerization and orchestration of applications, ensuring scalability and ease of deployment
- Monitored and managed AWS resources using Nagios and AWS CloudWatch, ensuring optimal performance and availability on the AWS platform.
- Mentored junior engineers within the team imparting important skills needed for their professional growth.
Education
BSC (Computer science) -
Sri Krishna Devaraya University
Anantapur Andhra Pradesh03-2019
Skills
- Operating Systems Linux, Windows
- Version Control Tools GIT
- Build Tools Maven and Gradle
- CI Tools/Code Quality tool Jenkins & GitLab / SonarQube
- Configuration Tool Ansible
- Containerization Docker, Kubernetes and Helm
- Infrastructure tools Terraform
- Web Servers & Application server Apache & Apache Tomcat
- Cloud Technology AWS and Azure
- Monitoring & managements Nagios, Aws cloud watch
- Artifactory Nexus
- Scripting Power Shell Scripting and Python
- Linux Operating System
Languages
English
Advanced (C1)
Hindi
Upper intermediate (B2)
Telugu
Bilingual or Proficient (C2)
Timeline
DevOps Engineer
Motorola Solutions India Pvt Ltd
08.2022 - 11.2023
DevOps Engineer
Veritas Technologies ( CYNORSYS PAYROLL )
02.2021 - 07.2022
Azure DevOps Engineer
Mavenir System Private LTD ( CYNORSYS PAYROLL )
05.2019 - 01.2021
BSC (Computer science) -
Sri Krishna Devaraya University
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