Cloud DevOps Engineer

MEGHANA PALLE (Cloud DevOps Engineer)

Email: ***********@*****.*** Phone: +1-904-***-****

PROFESSIONAL SUMMARY

With around 5+ years of experience, I have developed a strong foundation as an IT professional. My expertise spans across roles in designing, implementing, and managing cloud-based infrastructure, majorly AWS, AZURE and CI/CD pipelines. Adept at automation, configuration management, and monitoring to optimize performance and reduce downtime. Strong collaborative skills, working effectively with cross-functional teams to ensure alignment of IT operations with business objectives.

KEY SKILLS

TECHNICAL SUMMARY

Hands-on experience with AWS Cloud platform and its services which includes EC2, VPC, S3, EBS, ELB, Auto scaling, DynamoDB, Cloud Watch, LAMBDA, API Gateway, Redshift.

Experience with SaaS (Software as a Service), PaaS (Platform as a Service), and IaaS (Infrastructure as a Service) solution.

Hands on experience with Azure services such as Azure Virtual Machines, Azure Functions, Azure Container Instances, Azure Kubernetes Service (AKS), Azure Batch, Azure Blob Storage, Azure Files, Azure Queue Storage, Azure Table Storage, Azure Virtual Network, Azure Load Balancer, Azure Application Gateway, Azure Traffic Manager, Azure SQL Database, Azure Database for MySQL.

Worked on Jenkins for continuous integration and for End-to-End automation for all build and deployments, set up Continuous Integration for major releases in Jenkins and created Jenkins Pipelines using groovy.

Managed Kubernetes using Helm charts. Created reproducible builds of the Kubernetes applications, templatize Kubernetes manifests, and provide a set of configuration parameters to customize the deployment and managed releases of Helm packages.

Experience working on Ansible, Terraform to provision resources from multiple cloud service providers such as AWS, Azure.

Experienced with deployment automation of all the microservices to pull images from the private docker registry and deploy to Docker Swarm.

Experience in creating pods and clusters in Kubernetes and deploy those using OpenShift. Good understanding of OpenShift platform in managing Docker containers and Kubernetes Clusters.

Worked on creation of custom Docker container images, tagging, and pushing the images and worked on creating the Docker Containers and Docker consoles for managing the application life cycle. Deployed Docker Engines in Virtualized Platforms for containerization of multiple applications.

Monitoring and troubleshooting Kubernetes clusters using Prometheus and Grafana.

Experience in deploying system stacks for different environments like Dev, UAT, Prod in both on-premises and cloud infrastructure.

Well versed with deadline pressures, superior analytical, time management, collaboration, communication, and problem-solving skills.

TECHNICAL SKILLS

Azure Services - App Services, Key vault, function app, Blob storage, Azure Active Directory (Azure AD), Service Bus, Azure Container Registry (ACR) and Azure Kubernetes service (AKS), Azure SQL, Azure Cosmos DB.

AWS Services - RDS, EC2, VPC, IAM, Cloud Formation, EBS, S3, ELB, Auto Scaling, Cloud Trial, SQS, SNS, SWF, Cloud Watch.

Monitoring Tools – Zabbix, Nagios, CloudWatch, Prometheus, Splunk, Dynatrace, Grafana, Cloud Trail, Azure App Insights, Azure Monitor.

Configuration & Automation Tools - Ansible, Puppet, Terraform, Cloud formation

Operating Systems - RHEL/CentOS, Ubuntu, Solaris, Oracle Linux, Windows

Build Tools – Maven, Gradle

CI/CD Tools - Jenkins, Azure Pipelines, GitHub Actions

SDLC - Agile, Scrum Waterfall Methodologies

Scripts - Shell Script, Bash Script, Groovy, Python script, Yaml

Databases - Oracle, MySQL

Bug Tracking Tools - JIRA

Version Control Tools - GIT, GITHUB

Cloud Computing - Amazon Web Services, Microsoft Azure

Container and Orchestration - Docker, Kubernetes

EDUCATION

Master’s in computer science

University of Houston – Clearlake Aug 2021 – May 2023

Coursework: Concurrent Programming, Software Modeling, Design and Analysis of Algorithms, DBMS, Mobile Application Development, Internet Protocols, Advanced Operating Systems, Web Security.

Bachelor of Technology in Computer Science Aug 2015 - May 2019

Kommuri Pratap Reddy Institute of Technology

PROFESSIONAL EXPERIENCE

Client: Sherwin Williams July 2023 – Present

Role: Cloud DevOps Engineer

Roles & Responsibilities:

•Implemented and maintained in Continuous Integration (CI) and Continuous Deployment (CD) using Jenkins, resulting in a 30% reduction in deployment time.

•Managed infrastructure as code (IAC) using puppet, ensuring consistency and scalability across multiple environments.

•Worked on Software Development Life Cycle (SDLC) methodologies such as Agile and Scrum.

•Automated server provisioning and configuration management for over 150 Linux servers on Azure.

•Migrated legacy applications to Azure, enhancing performance and reducing operational costs by 25%.

•Experienced in installation, configuration, administration, troubleshooting, tuning, security, backup, recovery and upgrades of Oracle Linux & RedHat Linux in current project.

•Developed and maintained monitoring and alerting systems using Prometheus and Grafana, improving system uptime by 15%.

•Worked with repository managers like Nexus and Artifactory.

•Installed and Configured the Jfrog Artifactory and Mission Control.

•Deployed Kubernetes clusters into Azure using Azure Kubernetes Service (AKS).

•Worked as an administrator on Microsoft Azure and part of DevOps Team for internal projects automation and build configuration management. Involved in configuring virtual machines, storage accounts, and resource groups.

•Setting up Jenkins master and multiple slaves for the entire team as a CI tool, setting up permissions project level, role-based access level.

•Creation of Jenkins pipelines and deployment to Azure.

•Used Docker, Kubernetes and OpenShift to manage micro services for development of continuous integration and continuous delivery.

•Setting up the Dynatrace agents for application servers and Analyzing issues using the Dynatrace.

•Collaborated with development and operations teams to streamline workflows and improve software quality.

•Developed Bash scripts to automate routine tasks, improving operational efficiency.

•Participated in the on-call rotation, providing timely support for critical issues.

•Documented processes and procedures to support knowledge transfer and training.

•Led implementation of Azure Active Directory for single sign-on(SSO) access to thousands of cloud SAAS applications like Office 365.

•Able to write manifests and ruby scripts to customize the Puppet as per requirement configuration.

•Experienced writing puppet modules to automate CIS benchmarks Linux operations.

•Development of Puppet modules with Jenkins for continues integration and continuous deployment of managed products, and related services.

•Created K8s Clusters using Helm charts and worked on creating multiple pods, replication controllers, replica sets, services, deployments, labels, health checks and ingress/egress by writing YAML files.

•Experience with Splunk searching and Reporting modules, Knowledge Objects, Administration, Add-On’s Dashboards.

•Creation of Prometheus-Grafana setup using Terraform for various targets like Spart, MySQL, node exporters etc.

•Experience in managing Servers, app solutions, users in ITOP.

•Used Prometheus as monitoring tool, alert manager for setting up alerts and Pager Duty for On-Call rotation and incident management and created Grafana dashboards for monitoring in PromQL (query language) to monitor CPU, Network IO, and Disk etc.

Environments: Azure, Python, Groovy, Shell, Jenkins, GitHub, Agile, Scrum Master, Ansible, Linux, iTop, Zabbix, Puppet, Ubuntu, Yaml Scripting, Windows Server.

Client: SAS Info Inc Aug 2022 – Dec 2022

Role: AWS Cloud Engineer

Roles & Responsibilities:

•Experience in Continuous Integration (CI) and Continuous Deployment (CD) using Jenkins.

•Worked with Container management using Docker by writing Docker files and set up the automated build on Docker HUB and installed, configured Kubernetes.

•Integrated ECS with other AWS services such as Elastic Load Balancer (ELB), AWS Identity and Access Management (IAM), Amazon RDS (Relational Database Service), and Amazon S3 (Simple Storage Service) to build robust and scalable architectures.

•Experience in creating various modules and automation of various facts in Puppet, adding nodes to enterprise Puppet master and managing Puppet agents.

•Creating Puppet manifests files and implementing Puppet to convert Infrastructure as code.

•Experience in writing Puppet manifests and modules to automate the deployment process and to integrating Puppet manifests into Jenkins jobs for a continuous delivery (CD)framework.

•Implemented a generic Framework to deliver notifications implemented in Golang. Handles channels, users and tenants for multitenant SaaS/Paas application.

•Scheduling, deploying, and managing container replicas onto a node using Kubernetes and experienced in creating Kubernetes clusters, deployments with the help of Helm charts as a package/version manager.

•Created, tested, and deployed an end-to-end CI/CD pipeline for various applications using Jenkins as the main Integration server for Dev, QA, Staging and Prod environments.

•Deploying cluster on AWS with Jenkins, Docker pipeline implementation.

Environments: AWS, IaaS, chef, Ansible, Terraform, Docker, GIT, Maven, Jenkins, JIRA, ELK, Kubernetes, Python, Ruby, Shell, and Ruby Scripts, IAM, VPC, EC2, MFA, Lambda, CloudWatch.

Client: CONAXP INFOTECH Aug 2018 – Aug 2021

Role: AWS Cloud Engineer

Roles & Responsibilities:

Designed, configured, and managed AWS cloud infrastructures using services like EC2, VPC, AWS Lambda, Elastic Load Balancer, CloudWatch, and IAM.

Set up and customized Jenkins, creating master and slave nodes, and utilized Docker containers for different application deployment environments.

Employed Ansible as a configuration management tool to automate tasks and expedite critical deployments, utilizing Ansible playbooks, modules, and roles.

Installed Chef Server, utilized knife to bootstrap nodes, and developed Chef cookbooks and recipes for automated deployment processes.

Created infrastructure like EC2, VPC, Subnets, RDS, Load balancers etc. using Terraform.

Leveraged AWS CloudFront for content delivery and utilized Amazon Route53 for DNS management.

Implemented Docker with Kubernetes for application pods and deployed a web application across a multi-node Kubernetes cluster.

Experience in setting up CI/CD pipeline integrating various tools with CloudBees Jenkins to build and run Terraform jobs to create infrastructure in AWS.

Ensured efficient management of EC2 instances through launch configurations, auto scaling, and elastic load balancing.

Launched EC2 instances on various Linux flavors, assigned IAM roles, and ensured data durability and availability using S3.

Integrated Jenkins with DevOps tools like Nexus, SonarQube, Git, and Maven, creating automated code testing and deployment jobs.

Developed Python, Shell, and Bash scripts for build and release processes and provided support for web application servers.

I have also used Artifactory’s REST APIs to download, upload and update artifacts and testing the functionality of Artifactory.

Managing the OpenShift cluster that includes scaling up and down the AWS app nodes.

Utilized JIRA for ticketing and configured ELK stack (Elasticsearch, Logstash, and Kibana) with AWS Lambda and CloudWatch for application monitoring.

Configured and administered Git repositories for version control.

Implemented security best practices for AWS services, including security groups, network ACLs, and IAM roles.

Conducted regular security assessments and vulnerability scans.

Implemented secure authentication and authorization mechanisms, including multi-factor authentication (MFA) and fine-grained access controls.

Developed and Implemented Kubernetes manifests, Helm charts for deployment of microservices into Kubernetes(K8s) clusters.

Configured and managed AWS Identity and Access Management (IAM) for user access control and monitoring.

Automated CI/CD processes using Jenkins, Docker, Chef, and AWS CloudFormation templates.

Reduced infrastructure provisioning time by 30% through automation with Terraform and CloudFormation templates.

Worked on monitoring tools and visualization tools like Prometheus and Grafana and monitoring the Kubernetes pod metrics in regular intervals of time.

Achieved 99.99% uptime for deployed applications through effective utilization of EC2 auto scaling and elastic load balancing.

Environments: AWS, IaaS, Ansible, Terraform, Docker, GIT, Maven, Jenkins, Junit, Nexus, JIRA, ELK, Kubernetes, Python, Shell, IAM, VPC, EC2, MFA, Lambda, CloudWatch.

Kubernetes

AZURE Cloud

AWS Cloud

Terraform

Jenkins

SRE

Python

Automation

GitHub/GitLab

OpenShift

Maven

Docker

Grafana

Ansible

Prometheus

Shell Script

CI/CD

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