Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic

Raghavendra Akkineni

Apex,NC

Summary

Proactive DevOps Cloud Engineer with extensive experience in managing Azure and AWS infrastructures, implementing CI/CD pipelines, and automating tasks using Terraform and Jenkins. Skilled in Kubernetes, Docker, and monitoring tools, bringing a strong background in cloud solutions and system reliability. Committed to advancing career with innovative solutions and seamless integrations.

Overview

4
4
years of professional experience
1
1
Certification

Work History

DevOps Cloud Engineer

Exeter Finance
2022.04 - Current
  • l Managed Azure Subscriptions, Azure AD, Azure AD Application Proxy, Azure AD Connect, and Azure AD Pass through Authentication Identity Access.
  • l As part of SDLC/Agile Methods, Designed, Installed, maintained, and implemented Cloud solutions using Confidential Azure and underlying technologies employing IAAS & PAAS services.
  • l Integrated Azure App Insights with Azure App Servicesand Function App using PowerShell script to monitor the Application Logs and Metrics.
  • l Written Terraform Scripts to automate AWS services such as ELB, Cloud Front distribution, RDS, EC2, Database Security Groups, Route 53, VPC, Subnets, Security Groups, and S3 Bucket, as well as converting existing AWS infrastructure to AWS Lambda deployed via Terraform and AWS Cloud Formation.
  • l Implemented Auto-Scaling, Elastic Load Balancers (ELBs), Volume Importing, and EC2, RDS, and Security Groups in a defined Virtual Private Connection (VPC).
  • l Focused on AWS Route53 to route traffic between different regions, as well as implementing and maintaining monitoring and alerting of production and corporate servers/storage using AWS Cloud watch.
  • l Worked on maintaining Bitbucket Repositories for the services built and used Jenkins to set up automated testing and deployments.
  • l Worked on capacity planning exercises to ensure the Snowflakeinfrastructure scaled effectively with growing data volumes and user loads.
  • l Integrated SonarQube in Jenkins Pipeline, and the CI/CD pipelines on Private Cloud were automated using Shared Libraries. Merge conflicts were resolved, and new builds were queued within the release pipeline.
  • l Worked and developed Shared Libraries in Jenkins for API-based functionality like PR Checker and Slack/Team Notifier.
  • l Collaborated with data engineering and analytics teams to understand their requirements and ensure seamless integration of Snowflake into their Workflows.
  • l Collaborated and managed Nexus Repository Manager and the build utilities like Gradle for creating .jar, .war, and .ear files.
  • l Used Kubernetes manage Containerized Applications utilizing its Nodes, Config-Maps, and Services, and application containers were deployed as pods.
  • l Have worked on configuring Ingress Controller Load Balancer to expose application to internet with Certificate Assignment.
  • l Assisted in the creation of additional Docker Slave Nodes for Jenkins utilizing bespoke Docker Images, which were then fetched into ECR and worked on all of Docker's major components, including the Docker Daemon, Hub, Images, and Registry.
  • l Involved in creating up builds and managing the configurations of Abundant of Servers (40) using Ansible as a configuration management tool.
  • l Hands- on experience in implementing comprehensive monitoring solutions for Kafka Clusters, utilizing tools likePrometheus, Grafana, or Confluent Control Center.
  • l Collaborated and monitored server performance using Dynatrace, resolving network issues using manual commands, and setting up a SplunkCluster setup with high availability resources.
  • l Written and deployed shell scripts for setting up CRON jobs for deleting the application logs for every seven days for more disk utilization.
  • l Involved in troubleshooting Hardware issues and diagnosing and resolving network service problems on Linux servers, as well as Shell scripts (Bash) for task automation and scheduling.
  • l Responsible for installation configuration of Jenkins to support various Java builds and Jenkins plugins to automate continuous builds and publishing Docker images to the repository.
  • l Researched and implemented an Agile workflow for continuous integration (CI) and testing of applications using Jenkins. Administered and Engineered Jenkinsto manage weekly Build.
  • l Used Terraform to map more complex dependencies and identify network issues and worked with Terraform Key features such as infrastructure as code, execution plans, resource graphs, and changing automation
  • l Automated provisioning and repetitive tasks using Terraform and Python, Docker container, Service Orchestration. Implemented GIT to keep track of all changes in source code.

System Engineer

Infosys
2021.05 - 2021.10
  • Provisioning Azure resources of different providers Compute, Network, Service Fabric, Application gateway using ARM template and implemented, maintained Dev, Test, Staging, and Production environments leveraging infrastructure as code using Azure ARM templates (Infrastructure as code, JSON / YAML config).
  • Implemented Service Oriented Architecture underlined with Ingress and Egress using Azure Data Lake Store & Azure Data Factory by adding blobs to lakes for analytic results and so pull data from Azure data lake to the Blobs.
  • Worked in Amazon Web Services (AWS) cloud platform and its services like EC2, S3, RDS, Lambda, VPC, VPN, DynamoDB, EBS, Elastic load balancer, SNS, Glacier, Auto-Scaling, IAM, Route53, AMI, Security-Groups, CloudFront, CloudWatch, and CloudFormation through AWS management console and AWS Command Line Interface (CLI).
  • Virtualized the servers using Docker for the test-environments and dev-environments needs, and configuration automation using Docker containers. Created additional Docker slave Nodes for Jenkins using custom Docker images and pulled them to ECR and worked on all major components of Docker such as Docker Daemon, Docker Hub, Docker Images, Docker registry.
  • Configured and Integrated Docker container orchestration framework using Kubernetes by creating pods, deployments and used Python Scripts to schedule, deploy and manage container replicas onto a node cluster using Kubernetes.
  • Created YAML pipelines for CI/CD by integrating Maven, JFROG, SonarQube using Service connections in Azure DevOps pipelines and created multistage pipelines for different environments such as dev, non-prod, production.
  • Created and implemented Terraform and deployed them using the Azure portal, also used Azure quick start templates for Cloud Infrastructure design and implementation to deploy Web applications on Azure PowerShell Workflow.
  • Migrated on-premises instances to Azure Cloud using terraform subscription with Azure site Recovery and hands-on experience with building and installing servers through Terraform.
  • Used Splunk for log analyzing and improving the performance of servers. Wrote several custom Splunk queries for monitoring and alerting and written Python scripts to automate security group creation and management from state files versioned GitHub.
  • Installing, upgrading, and configuring Linux Servers using Kickstart as well as manual installations and the recovery of root password. Cloud Engineer DXC Technologies|Bengaluru, India | Dec 1934-Dec

Site Reliability Engineer

Sapient
2020.07 - 2021.05
  • Build servers using AWS, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, and load balancers (ELBs) in the defined virtual private connection (VPC), providing high availability of applications of EC2 instances by taking advantage of AWS High availability options and configured S3 versioning and lifecycle policies in AWS, to backup files and archive files in Glacier.
  • Automated AWS infrastructure through IAC by writing various Terraform modules, and null resource scripts to create AWS IAM users, groups, roles, policies, custom policies, AWS Glue, Crawlers, Redshift clusters, snapshots of clusters, EC2, S3 buckets, application deployments.
  • Designed and implemented NoSQL database solutions using Amazon DynamoDB. Optimized DynamoDB tables for performance and scalability. Implemented partitioning and indexing strategies for efficient data retrieval.
  • Created Infrastructure as A code (IAC) templates using Terraform and used them to deploy replicas in other environments like QA, Testing, and Prod.
  • Worked on Terraform for provisioning and managing the different cloud provider infrastructures by writing reusable modules. Worked on Cloud automation, Containers, Paas, and Pivotal Cloud Foundry (PCF) which helps to trigger the inherent originality of an individual using Terraform.
  • Used Kubernetes to orchestrate the deployment, scaling, and management of Docker Containers. Advised Open-source Kubernetes and Docker projects and design discussions in the Cloud Native Computing Foundation.
  • Configured the Kubernetes with Terraform provider which issued to interact with resources supported by Kubernetes to create several services such as Config Map, Namespace, Volume, Auto scaler.
  • Installed, configured, and managed full end-to-end GitLab integration, Pipeline Management. Also, utilized GitLab Runners to support application testing and fill system level point of contact to support GitLab.
  • Worked on Jenkins, Git Hub, Puppet, Artifactory, and all internal build systems for the core development team on an enterprise-level Java-based cloud orchestration/ automation tool.
  • Involved in the Configuration of LDAP, NFS, and NIS in Linux and implemented Samba for sharing of resources between Linux and Windows environments.
  • Troubleshooting Linux/Ubuntu servers and network-related issues using log Configured NIC bonding/NIC Teaming configuration in Linux/UNIX/Windows systems to increase the performance based on the requirement of the application.
  • Customized and compiled the Linux kernel according to the application/user requirements and various communication protocols by creating and maintaining new VM boxes using Linux virtual machine templates.

Education

Master of Science - Computer Science

University Of Missouri Kansas City
Kansas City, MO
12.2022

Skills

    Operating system

    Linux (Red Hat 4/5/6/7), Ubuntu 14/16/18, Windows NT 2000/2003, CentOS 6, 7

    Application Servers

    Oracle Web Logic (8/9/10), IBM Web Sphere (5/6/7), JBOSS

    Automation Tools

    Jenkins, Jfrog, Nexus, Docker, Kubernetes, Ansible, chef- solo, habitat, compliance, Kitchen, chef solo, Habitat, compliance, Puppet, Vagrant, Terraform, Cloud Foundry

    Version control tools

    GIT, GITHUB, SVN, BitBucket, GitLabs, Gerrit, IBM Rational Clearcase, CodeCommit

    Web servers

    Apache HTTP 2.x ,3.x, Nginx, IIS, Apache Tomcat

    Networking/protocol

    DNS, DHCP, CISCO ASA Firewalls Routers/Switches, WAN, TCP/IP, NIS, NFS, SMTP, LAN, FTP

    Scripting

    Perl, Python, Ruby, Bash shell, Power shell scripting, Groovy, PHP, Hashicorp, JSON

    Virtualization Technologies

    VMWare ESX/ESXi, Windows Hyper-V, Power VM, Virtual box, Citrix Xen

    Cloud Environments

    Open stack, AWS, Azure, Oracle, OpsWorks

    Volume manager

    VERITAS volume manager, LVM with Linux, Solaris Volume Manager

    Database

    AWS RDS, Aurora, DynamoDB, MongoDB, MySQL, MS SQL SERVER 2008/12

    Monitoring Tools

    Nagios XI, Wavefront, AppDynamics, Splunk, SolarWinds, Cloud Watch, ELK, NewRelic

Certification

AWS Certified Solutions architect

Certified Azure Fundamentals

Timeline

DevOps Cloud Engineer

Exeter Finance
2022.04 - Current

System Engineer

Infosys
2021.05 - 2021.10

Site Reliability Engineer

Sapient
2020.07 - 2021.05

Master of Science - Computer Science

University Of Missouri Kansas City

AWS Certified Solutions architect

Certified Azure Fundamentals

Raghavendra Akkineni