AWS DevOps Engineer with Cloud & CI/CD Expertise

Jyothsna Pamarthi

AWS DevOps Engineer

************@*****.*** +1-660-***-**** www.linkedin.com/in/jyothasnap

Professional Summary

5+ years of IT Infrastructure Management experience, including DevOps, AWS, Azure, software build and deployment automation, and system administration in Red Hat Linux, CentOS, and Windows environments.

Extensive knowledge of Software Development Life Cycle (SDLC) best practices in Agile, Scrum, and Waterfall methodologies.

Strong expertise in cloud computing with AWS, Microsoft Azure, and Google Cloud Platform (GCP), designing, configuring, and managing public and private cloud infrastructures.

Expertise in AWS services such as EC2, IAM, VPC, Lambda, ECS, EKS, and CloudFormation for infrastructure as code (IaC), including advanced template configurations with parameters, mappings, conditions, and metadata.

Designed and implemented CI/CD pipelines for web applications and containerized applications using Jenkins, GitLab CI, Bamboo, and Travis CI.

Hands-on experience with modern DevOps tools: Maven, Ansible, Terraform, Kubernetes, Docker, Gradle, Puppet, and Chef.

Automated large-scale deployments using configuration management tools and container orchestration with Kubernetes, including Ingress Controllers for HTTP traffic management.

Experience setting up Kafka clusters in QA and production environments, working closely with Kafka Admin teams.

Proficient in Docker containerization, including building custom Docker images and managing production-grade workflows.

Experience in continuous integration and deployment (CI/CD) on AWS using Docker and Kubernetes.

Strong background in monitoring and logging solutions, including Splunk, Grafana, and Nagios, for both physical and virtual infrastructure.

Extensive experience in system administration: system builds, server installations, upgrades, patching, migrations, troubleshooting, security, disaster recovery, and performance tuning on Red Hat Linux and Unix systems.

Deep knowledge of networking protocols and devices: TCP/IP, Routers, Switches, SNMP, FTP, SFTP, SUDO, NFS, DNS, DHCP.

Strong scripting and automation skills using Python, Perl, Shell, Go, NodeJS, Groovy, and Ruby.

Expertise in SQL development, including complex queries, stored procedures, schema management, functions, DDL, cursors, and triggers.

Experience in enterprise application integration using SOAP, REST, OData, JSON, SSIS, T-SQL, Azure Logic Apps, and .NET-based web services.

Implemented RabbitMQ AMQP messaging for synchronous and asynchronous communication, and JMS messaging with Apache ActiveMQ.

Experience managing AWS IAM users, groups, and policies for secure access control.

Strong analytical, presentation, and communication skills with the ability to adapt to new technologies and fast-paced environments.

Education: Master’s in Computer Science from Northwest Missouri State University

Technical Skills:

Java/J2EE Technologies

Java/J2EE, JDBC, EJB, JMS

AWS/ Other Cloud Services

EC2, ECR, ECS, Elastic Beanstalk, Lambda, ELB, CloudFront, Kinesis, Route 53, S3, RDS, DynamoDB, DAX Accelerator, Elastic ache, SQS, SNS, API Gateway, Cognito, IAM, CloudWatch, CloudTrail, CloudFormation, Code Commit, Code Build, Code Deploy, Code Pipeline, Encryption, IBM Cloud, QTS Cloud

Web Technologies

HTML, SOAP/ RESTful Web Services, JSP, CSS, XML, JSON, Servlets, jQuery, JavaScript

Frameworks

Spring Modules, Struts, JSF MVC, Log4j, Testing, JUnit

ORM Frameworks

Hibernate, Spring JDBC

Development Methodologies

Agile (SCRUM, TDD), Waterfall

IDE’s

Eclipse, NetBeans, IntelliJ, IBM Data cap Suite

Databases

IBM DB2, Oracle, DynamoDB, MySQL

Build/Automation Tools

Maven, Ant, Jenkins, TeamCity

Servers

IBM WebSphere, Oracle WebLogic, Apache Tomcat Server

Tools

SOAP-UI, JMeter, JBoss drools, IBM Jazz, Splunk, IBM Heap Analyzer

Version Control/Project Management

JIRA, GitHub, SourceTree, IBM RTC, SVN

Operating Systems

Windows, Linux, AIX, Unix, Mac OS

Other Tools/ Utilities

IBM FileNet, IBM Data cap, IBM Content Collector, UML, WINSCP, PUTTY, Xplore LDAP client, Squirrel client, Workflow server, MS Office

EXPERIENCE

Client: Progressive Insurance, OH (Mar 2024 – Present)

Role: AWS/Cloud DevOps Engineer

Responsibilities:

Designed, built, and deployed cloud-based solutions, helping clients migrate legacy infrastructure to a cost-effective cloud environment.

Extensive experience with AWS services: EC2, VPC, EBS, Auto Scaling, Elastic Beanstalk, S3, ECS, EKS, Lambda, IAM, RDS, CloudWatch, SNS, and CloudFront.

Set up infrastructure and CI/CD pipelines for various environments (Dev, QA, Staging, Production) while adhering to SDLC best practices in Agile, Scrum, and Waterfall methodologies.

Managed Jenkins CI/CD pipelines for automated builds, testing, and deployment, troubleshooting build issues during the Jenkins process.

Developed AWS CloudFormation and Terraform scripts for infrastructure provisioning, automation, and resource management.

Implemented Cloud Custodian for automating tag compliance across 1000+ AWS resources.

Automated deployments using CloudFormation Stack Sets to enforce owner tagging, creation timestamps, and metadata on resources.

Configured and maintained ECS and EKS clusters, deploying Kubernetes pods and scaling application containers using ConfigMaps and Helm Charts.

Deployed a serverless web application on AWS Lambda, including:

oHosting a static website on S3

oAPI integration via API Gateway

oData storage using DynamoDB

oBackend logic using Lambda functions

Designed and implemented a microservices architecture using Kubernetes (EKS) and Docker for scalability.

Integrated Kafka messaging and reprocessed failure messages using offset IDs.

Configured a single Amazon SQS queue for multiple AWS accounts to centralize email notifications.

Implemented AWS CloudWatch and CloudTrail for real-time logging, monitoring, and debugging of cloud resources.

Automated AWS infrastructure provisioning using Terraform, Ansible, and Jenkins, ensuring efficient deployment and configuration management.

Developed Ansible playbooks for automated application deployment, system configuration, and patching.

Worked with Azure Resource Manager (ARM) for template-based deployments, role assignments, and activity log monitoring.

Installed and configured Jenkins plugins for Git integration and set up SCM polling for continuous builds using Maven and Gradle.

Integrated SonarQube and FindBugs into Maven/Gradle projects for code quality checks.

Maintained and managed Docker containers, images, and registries, collaborating with development teams to implement continuous delivery.

Deployed applications in a Kubernetes cluster using AWS-Kops (EKS), configuring and managing the Kubernetes dashboard for easy access.

Used GitLab, GitLab Runner, Jenkins, and Docker to streamline workflow automation and improve DevOps efficiency.

Implemented a continuous delivery framework using Jenkins, Puppet, Maven, and Nexus in a Linux environment.

Monitored Linux servers for CPU, memory, and disk utilization using Splunk and Tanium, ensuring performance optimization.

Worked with Apache Tomcat 9.0, JBoss, and Oracle for application hosting and management.

Automated infrastructure management tasks using Shell scripting, PowerShell, VBScript, and Python.

Scheduled automated jobs using Rundeck for optimized deployment workflows.

Environment:

Ansible, Docker, AWS, Jenkins, Maven, Git, Kubernetes, Chef, Nexus, Docker Registry, Tomcat, Splunk, JBoss, Tanium, Rancher, Oracle, Shell Scripting, PowerShell, VBScript, Python, Apache Tomcat 9.0, JIRA, Linux, Windows

Client: All State, IL (Aug 2023 – Feb 2024)

Role: AWS/Cloud DevOps Engineer

Responsibilities:

Migrated on-premise applications to AWS Cloud, optimizing performance and cost-efficiency.

Developed Python-based automation scripts using Puppet to manage and deploy Java applications across Linux servers.

Designed and maintained CI/CD pipelines in Jenkins, automating builds with Ant and Maven to streamline software delivery.

Managed AWS EC2 instances, AMIs, and Elastic Beanstalk templates, ensuring high availability and scalability.

Configured Elastic Load Balancers (ELB) with EC2 Auto Scaling to dynamically handle traffic surges.

Automated infrastructure provisioning using Terraform, reducing manual setup time.

Integrated automated builds with a deployment pipeline, ensuring seamless software releases across integration, QA, and production environments.

Deployed Puppet and Puppet Dashboard for configuration management, improving consistency across multiple servers.

Managed branching and version control strategies using Git and SVN, enhancing collaboration across teams.

Implemented server-side user authentication and administration for access control.

Developed Python scripts to extract, transform, and load (ETL) data from DynamoDB to MySQL, improving data consistency.

Created and scheduled Linux Cron jobs and Jenkins jobs to automate builds and deployments.

Deployed Java applications on Apache Tomcat Application Servers and optimized runtime performance.

Configured Nexus Artifactory for artifact management, ensuring versioned storage of builds.

Implemented unit testing with JUnit and server configuration validation before deployments.

Maintained infrastructure as code (IaC) best practices, enhancing deployment efficiency.

Monitored and troubleshot infrastructure issues, ensuring 99.9% uptime across deployed environments.

Managed ClearQuest and Quality Center for tracking infrastructure change requests and issue resolution.

Environment:

AWS (EC2, S3, RDS, ELB, IAM, CloudFormation), Terraform, Jenkins, Git, Puppet, Docker, Java/J2EE, Apache Tomcat, Maven, Ant, Linux, SonarQube, Nexus, JIRA, Shell/Groovy scripting, LAMP, Quality Center, ClearQuest

Client: Wipro, Remote (Jan 2019 – Aug 2022)

Role: AWS/DevOps Engineer

Responsibilities:

Designed, built, and deployed cloud-based solutions for clients migrating from legacy infrastructure to AWS.

Extensively worked with AWS services, including EC2, VPC, EBS, Auto Scaling, Elastic Beanstalk, S3, ECS, Lambda, IAM, RDS, CloudWatch, SNS, and CloudFront for scalable cloud solutions.

Automated infrastructure provisioning and configuration using Terraform and AWS CloudFormation, leveraging modular Terraform scripts for EKS, VPC, EC2, AMIs, ELB, and other AWS resources.

Developed and managed CI/CD pipelines in Jenkins, integrating Git, Nexus, and deployment scripting to streamline software delivery.

Designed and deployed serverless microservices using AWS Lambda, API Gateway, S3, CloudWatch, and SNS.

Automated EC2 Auto Scaling and Load Balancer configurations using Python SDK, ensuring optimal performance.

Managed AWS SNS and SQS for distributed messaging and event-driven architectures.

Developed infrastructure automation using AWS CDK, Terraform, and the AWS Serverless Application Model (SAM).

Created and enforced S3 bucket policies and lifecycle rules, utilizing Glacier for cost-effective storage and backups.

Designed containerized applications with Docker and managed deployment using Kubernetes, Helm, and Docker Compose.

Configured Kubernetes clusters, managing nodes, ConfigMaps, selectors, and services to optimize application scaling and availability.

Migrated CI/CD pipelines from Jenkins to Harness, utilizing Helm charts and Artifactory for Kubernetes-based deployments.

Developed Ansible Playbooks for deployment automation and day-to-day server administration.

Implemented Docker-based microservices, including Docker container orchestration using Kubernetes and integration with ELK (Elasticsearch, Logstash, Kibana) for monitoring.

Led test-driven development (TDD) practices for Terraform automation scripts, ensuring infrastructure reliability.

Worked on automating dev and test environment setup using Terraform and Jenkins for seamless infrastructure testing.

Configured Kubernetes UI for enhanced cluster monitoring and pod management across environments.

Environment:

AWS (EC2, VPC, EBS, S3, Lambda, IAM, RDS, CloudFront, SNS, SQS, CloudWatch, CloudFormation), Terraform, Kubernetes, Helm, Docker, Jenkins, Harness, Nexus, Git, Ansible, Python SDK, AWS CDK, AWS Serverless Application Model (SAM), ELK Stack (Elasticsearch, Logstash, Kibana).

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