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Devops Engineer Aws Cloud

Location:
United States
Posted:
October 08, 2025

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Resume:

Dhanalakshmi Kommi

Email Id: ******************@*****.*** Contact No.: +1-434-***-****

Cloud DevSecOps SRE DevOps Engineer

SUMMARY

Strong expertise with Google Cloud Platform (Primary), Azure DevOps, and modern DevOps toolchain (Grafana, JFrog Artifactory, SonarQube, Jenkins). Experienced in designing and implementing CI/CD pipelines, monitoring solutions, and container orchestration with Kubernetes (GKE, AKS, EKS).

Having a total of 8+ years of experience in IT industry as aCloud Architect/ SRE DevOps /DevOps Engineer/ Build and Release in Software Configuration and Release management includes source code, build and deployment management and Complete understanding of Software Development Life Cycle using Agile methodologies

Extensive experience in implementation of Build and Deployment. Automation for Java based Web Applications and Windows Applications using DevOps strategies

Expertise on AWS cloud, extensive usage of Virtual Private Cloud (VPC), Cloud Front, Cloud Formation, Elastic Cloud Computing (EC2), Relational Database System (RDS), Simple Storage Service (S3), Elastic Block Storage (EBS), Elastic Load Balancer (ELB), Elastic File Systems (EFS), Elastic Beanstalk, Route53 and Cloud Trail.

Extensive experience in architecting and deploying fault tolerant, highly available, cost effective and secure servers in Amazon Web Services (AWS).

Implemented Terraform modules for deployment of applications across multiple cloud providers like AWS, Azure and GCP.

Experience in designing AWS Cloud Formation templates &Terraform files to create custom sized VPC, Subnets, and NAT to ensure successful deployment of Web applications, database templates and expertise in architecting secure VPC solutions in AWS with the help of Network ACLs, Security groups, public and private network configurations.

Designing and implementing Disaster Recovery (DR) Strategies and High availability (HA) architecture to ensure business continuity.

Administration of Version control tools like Subversion,GIT and maintainedCI/CD environments using Jenkins.

Expert in build automation tool MAVEN for Build development in Windows and Linux.

Experience in writing playbooks to automate infrastructure creation, configuration and operation changes with help of modules in playbooks.

Production experience in large environments using configuration management tools Ansible and Puppet.

Experience with Amazon Web Services (AWS), Ansible, Maven, Docker, Jenkins, Harness, Terraform, GitHub, AppDynamics, Nessus, Tomcat, and LINUX, among others.

Expert in setting up Jenkins jobs to automate build test and implement CI/CD pipelines. Also implemented monitoring and logging solutions with Jenkins

Experience in shell scripting using bash, Perl, and Python to automate system administration jobs.

Experience on identity synchronization, federation, and MFA services and proficiency in PowerShell, APIs, Modern Web Authentication (including SAML and OAUTH), and Conditional Access.

Experience in Building/Maintaining Docker container clusters managed by KubernetesLinux, Unix, Bash, GIT, Docker.

Expertise in creating automation of Kubernetes cluster with cloud formation templates and deploying them in AWS environment and monitoring the health of pods using Helm Charts.

Experience on Automating the Build and Deploy Java applications to different environments by using Ansible, and Jenkins.

Strong Knowledge on Continuous Integration and Continuous Delivery.

Experienced with code analysis, code review using Sonar cube

Good Working knowledge on shell scripting and Knowledge on Python.

Exposure to administration of servers like Apache, Web sphere and web logic.

Good understanding of defect and change tracking tool such as JIRA.

Effectively co-ordinate with various functions development, Testing, environment management, helpdesk within the organization throughout the SDLC.

Managed a large-scale Kafka cluster, including installation, configuration, and performance tuning, ensuring high availability and reliability.

Implemented security measures such as SSL/TLS encryption and ACLs, enhancing the security posture of the Kafka environment.

Extensive experience in creating alerts for applications using monitoring tools like Prometheus and Grafana

Followed best practices, optimize processes, adapt new technologies, quick learner and hardworking individual.

Developing CI/CD roadmap and implementing to the project by Jenkins.

Strong Experience in Continuous Integration setup. Configured multiple build jobs, integrated test cases, created distributed build environments, and performed plug-in installations, backup etc. using Jenkins.

Expertise in using Application and log monitoring using DataDog.

Experience working on several Docker components like Docker Engine, Docker images, Docker Containers, Docker Registry and handling multiple images primarily for middleware installations and domain configuration.

Deploying the artifacts into servers in AWS cloud with Ansible and Jenkins.

Deployed builds to different environments like DEV, QA, UAT environments by integrating Jenkins and Ansible.

Experience in scripting languages like Python.

Supports for the Development tools like Jira/Nexus.

Managed Terraform state files effectively to track the state of infrastructure resources, facilitating collaboration among team members and ensuring consistency in infrastructure configurations.

Utilized Terraform's dependency management capabilities to establish relationships between resources, managing dependencies and orchestrating complex infrastructure deployments efficiently.

Implemented version control best practices using Git to manage Terraform configurations, enabling collaboration, versioning, and tracking of infrastructure changes over time.

Based deployments to Amazon–EC2, Upload Build artifacts in to Amazon S3 location, Created VPC, Create and manage AWS users and groups through IAM, Monitoring servers through Amazon Cloud Watch, Setup/Managing Databases on Amazon RDS (MONGO DB)

Creating the Azure site Recovery and Azure Backup plan as per user request.

Creating the Azure portal and managing the azure subscription.

Good understanding of Software Development Life Cycle (SDLC) processes. Supported multiple teams throughout SDLC to achieve better productivity.

Daily activities include like scheduling builds for multiple projects, deploying the artifacts in multiple QA and Dev environments and debugging issues.

SKILL SET

Operating Systems

Windows, Red Hat Linux, UNIX, CentOS, RHEL, AL2, Ubuntu

Database

Mongo DB, Aurora, Oracle, Hadoop

Application /Web Server

JBoss, Apache, Tomcat, Web Sphere, AWS Fargate.

Version Control Tool

GIT, GITHUB, BITBUCKET

Continuous Integration Tool

Jenkins, TeamCity

Container Tools

Docker, Kubernetes, ECS, EKS, GKE,AKS,

Configuration mgmt Tools

Ansible, Chef, Terraform, IaaS

Build Tool

Maven, ANT, Gradle

Scripting

Shell, Python, YAML, GROOVY, Bash, PowerShell

Process

Agile (Scrum Team)

Monitoring Tools

Nagios, CloudWatch, Datadog, Grafana, Prometheus, Splunk,App Dynamics

Cloud Environment

AWS, S3, ELK, CFT, RDS, VPC, NAT, FSX, EBS, EC2, CloudWatch, Explorer, GCP, Azure

DevOps Tools

Bitbucket, Maven, Jenkins, Ansible, and Docker, Kubernetes, Sonar cube, Jira, Lambda functions, Azure DevOps

WORKING EXPERIENCE

Project #1:

Cognizant Client: Wells Fargo USA

Technology: TerraformAWS (EC2, S3, EBS, ELB, RDS, SNS, SQS, VPC, Cloud formation, Cloud watch, ELK Stack), Ansible, Chef, LDAP, python (BOTO API), Red Hat Linux, Gradle, Shell scripting, Ruby, Nginx, Linux Administration, Terraform, Selenium, JIRA, GIT, SVN, Nagios, Groovy,Kafka,Harness,

Position: DevSecOps/ SRE DevOps

Duration: Jan 2024 to Tilldate

Description:

Wells Fargo is a top-tier U.S. multinational financial services firm focused on banking, investments, and digital transformation through innovative technology and cloud solutions.

Responsibilities:

Hands on experience in automating Amazon Web Services (AWS) services like EC2, VPC, Elastic Cache, Load-balancer, S3 bucket, IAM role using Terraform.

Experience in optimizing AWS cost by giving recommendations over the instance type or high CPU usage.

Created a VMware cloud health dashboard for monitoring AWS cost continuously to meet the budget.

Implemented security best practices for Kubernetes clusters, including RBAC, PodSecurityPolicies, and Secrets management.

Troubleshooted and resolved issues related to Kubernetes deployments, networking, and performance.

Configured and managed Kubernetes networking using services like Ingress, Load Balancer, and NetworkPolicies.

Implemented monitoring and logging solutions (e.g., Prometheus, Grafana, ELK stack) for Kubernetes clusters.

Set up alerts and dashboards to track cluster health and performance.

Worked on GitLab Setup for CI/CD environment.

Strong hands-on on Azure cloud services like EC2, S3, RDS, ELB, and EBS for installing, configuring. Maintained the user accounts (IAM), RDS, Route 53, VPC, RDB, Dynamo DB, SES, SQS and SNS services in AWS cloud.

Responsible for managing Ubuntu, Linux, and windows virtual servers on AWS EC2 instance by creating Chef Nodes through Open-Source Chef Server. Utilized Amazon Elastic Block Storage which provides persistent block storage volumes for use with Amazon EC2 instances in the AWS cloud.

Worked with Cloud/infrastructure support Team on AWS cloud and designed a highly available secure multi zone AWS cloud infrastructure utilizing Chef with AWS Cloud Formation.

Worked on AWS CLI Auto Scaling and Cloud Watch Monitoring creation and update.

Designed roles and groups using and Access AWS Identity Management (IAM).

Built and configured EC2 instances on AWS cloud platform, configured Elastic Load Balancer for traffic control for the EC2 and S3 buckets.

Integrated logs from various sources into Datadog for centralized log management and analysis.

Used Datadog's log analytics features to search, filter, and visualize log data for troubleshooting and monitoring.

Implemented Datadog APM to monitor application performance, including response times, error rates, and throughput.

Used APM to identify and resolve performance bottlenecks in applications.

Managed Terraform state files effectively to track the state of infrastructure resources, facilitating collaboration among team members and ensuring consistency in infrastructure configurations.

Utilized Terraforms dependency management capabilities to establish relationships between resources, managing dependencies and orchestrating complex infrastructure deployments efficiently.

Created a Datadog dashboard to monitor the metrics of the AWS Services.

Designed and implemented reusable Terraform modules to standardize infrastructure components, promoting code reusability and reducing configuration drift.

Experienced in designing and implementing Cloud Infrastructure resources and concepts, including VPCs, Subnets, and Firewalls, specifically tailored for GCP.

Skilled in Distributed Systems, Kubernetes, Infrastructure-as-Code (IaC), and Cloud Security practices, ensuring robust and secure cloud environments.

Containerized applications using Docker and orchestrated them with EKS for scalability and resilience.

Used tools like Terraform, AWS CloudFormation, or eksctl to provision and manage EKS infrastructure.

Implemented networking solutions for EKS such as AWS App Mesh or AWS Network Load Balancer.

Set up monitoring and logging solutions (e.g., AWS CloudWatch, Prometheus, Grafana) for EKS clusters.

Implemented security best practices for EKS clusters, including AWS IAM roles and policies, RBAC, and PodSecurityPolicies.

Integrated Terraform with CI/CD pipelines (e.g., Jenkins, GitLab CI/CD) to automate infrastructure changes and streamline deployment workflows, enhancing agility and efficiency in software delivery.

Having experience in debugging the alerts when the applications went down and monitoring them in Grafana.

Support Lead developers with Configuration Management issues.

Managed all the bugs and changes into a production environment using Service Now ticketing tool.

Supports for the Development tools like Jira/Nexus.

Based deployments to Amazon–EC2, Upload Build artifacts in to Amazon S3 location, Created VPC, Create and manage AWS users and groups through IAM, Monitoring servers through Amazon Cloud Watch, Setup/Managing Databases on Amazon RDS (MONGO DB).

Proficient in deploying, configuring, and managing VMware vSphere environments, including ESXi hosts, vCenter Server, and virtual machines.

Experienced in designing and implementing VMware virtualization solutions to optimize server consolidation, resource utilization, and high availability.

Proficient in hybrid cloud management with VMware Cloud Foundation, enabling seamless integration and management of on-premises and public cloud environments.

Creating the Azure site Recovery and Azure Backup plan as per user request.

Creating the Azure portal and managing the azure subscription.

Defined AWS Security Groups which acted as virtual firewalls that controlled the traffic allowed reaching one or more AWS EC2 instances.

Working on Multiple AWS instances, set the security groups, Elastic Load Balancer and AMIs, Auto scaling to design cost effective, fault tolerant and highly available systems.

Project #2:

Client: Genpact India

Technology: AWS (EC2, S3, EBS, ELB, RDS, SNS, SQS, VPC, Cloud formation, Cloud watch, ELK Stack), Ansible, LDAP

Position: SRE DevOps/AWS DevOps Engineer

Duration: May 2021 – Dec 2023

Description:

Genpact is a global digital transformation and professional services firm delivering AI, data, and cloud-driven solutions to Fortune 500 clients across industries.

Responsibilities:

Worked with Cloud/infrastructure support Team on AWS cloud and designed a highly available secure multi zone AWS cloud infrastructure utilizing Chef with AWS Cloud Formation.

Worked on AWS CLI Auto Scaling and Cloud Watch Monitoring creation and update.

Designed roles and groups using and Access AWS Identity Management (IAM).

Built and configured EC2 instances on AWS cloud platform, configured Elastic Load Balancer for traffic control for the EC2 and S3 buckets.

Integrated logs from various sources into Datadog for centralized log management and analysis.

Used Datadog's log analytics features to search, filter, and visualize log data for troubleshooting and monitoring.

Implemented Datadog APM to monitor application performance, including response times, error rates, and throughput.

Used APM to identify and resolve performance bottlenecks in applications.

Managed Terraform state files effectively to track the state of infrastructure resources, facilitating collaboration among team members and ensuring consistency in infrastructure configurations.

Utilized Terraforms dependency management capabilities to establish relationships between resources, managing dependencies and orchestrating complex infrastructure deployments efficiently.

Created a Datadog dashboard to monitor the metrics of the AWS Services.Hands on experience in automating Amazon Web Services (AWS) services like EC2, VPC, Elastic Cache, Load-balancer, S3 bucket, IAM role using Terraform.

Experience in optimizing AWS cost by giving recommendations over the instance type or high CPU usage.

Created a VMware cloud health dashboard for monitoring AWS cost continuously to meet the budget.

Implemented security best practices for Kubernetes clusters, including RBAC, PodSecurityPolicies, and Secrets management.

Troubleshooted and resolved issues related to Kubernetes deployments, networking, and performance.

Configured and managed Kubernetes networking using services like Ingress, Load Balancer, and NetworkPolicies.

Implemented monitoring and logging solutions (e.g., Prometheus, Grafana, ELK stack) for Kubernetes clusters.

Set up alerts and dashboards to track cluster health and performance.

Worked on GitLab Setup for CI/CD environment.

Strong hands-on on Azure cloud services like EC2, S3, RDS, ELB, and EBS for installing, configuring. Maintained the user accounts (IAM), RDS, Route 53, VPC, RDB, Dynamo DB, SES, SQS and SNS services in AWS cloud.

Responsible for managing Ubuntu, Linux, and windows virtual servers on AWS EC2 instance by creating Chef Nodes through Open-Source Chef Server. Utilized Amazon Elastic Block Storage which provides persistent block storage volumes for use with Amazon EC2 instances in the AWS cloud.

Designed and implemented reusable Terraform modules to standardize infrastructure components, promoting code reusability and reducing configuration drift.

Experienced in designing and implementing Cloud Infrastructure resources and concepts, including VPCs, Subnets, and Firewalls, specifically tailored for GCP.

Skilled in Distributed Systems, Kubernetes, Infrastructure-as-Code (IaC), and Cloud Security practices, ensuring robust and secure cloud environments.

Containerized applications using Docker and orchestrated them with EKS for scalability and resilience.

Used tools like Terraform, AWS CloudFormation, or eksctl to provision and manage EKS infrastructure.

Implemented networking solutions for EKS such as AWS App Mesh or AWS Network Load Balancer.

Set up monitoring and logging solutions (e.g., AWS CloudWatch, Prometheus, Grafana) for EKS clusters.

Implemented security best practices for EKS clusters, including AWS IAM roles and policies, RBAC, and PodSecurityPolicies.

Integrated Terraform with CI/CD pipelines (e.g., Jenkins, GitLab CI/CD) to automate infrastructure changes and streamline deployment workflows, enhancing agility and efficiency in software delivery.

Having experience in debugging the alerts when the applications went down and monitoring them in Grafana.

Support Lead developers with Configuration Management issues.

Managed all the bugs and changes into a production environment using Service Now ticketing tool.

Project #3:

Client : Infosys, India

Technology : Git, Shell Scripting, Jenkins, Terraform, Linux Administration, AWS, Docker, Kubernetes

Role : DevOps, AWS Engineer/ DevOps Lead

Duration :Oct 2019 – Apr 2021

Description :

I have worked in a State Farm project. It is a group of insurance and financial services companies in the United States. The company also has operations in Canada. The group main business is State Farm Mutual Automobile Insurance Company, a mutual insurance firm that also ownsthe other State Farm companies. The corporate headquarters are in Bloomington, Illinois.

Responsibilities:

Hands on experience in Amazon Web Services (AWS) provisioning and good knowledge of AWS services like EC2, Elastic Load-balancers, S3, IAM

Launching Amazon EC2 Cloud Instances using Amazon Web Services (Linux/ Ubuntu) and configuring launched instances with respect to specific applications.

I have setup and provisioned AWS Auto-Scaling in launching EC2 instances, IAM, Elastic Load Balancer, S3, Glacier, Glue, Cloud Front, RDS, VPC, Route53, Cloud Watch, SNS, EBS infrastructure as code using Terraform.

Established CI/CD pipelines using Jenkins or Gitlab CI/CD to automate the software delivery process.

Attend forum for management of release weekly meetings.

Written Maven scripts to deploy the JAR/WAR files to the target Web Logic Server

Mentor Business Areas on Subversion Branching, Merging strategies concepts.

Resolved update, merge and password authentication issues in SVN.

Configuring ELK for monitoring instance, RDS, ELB’s

Managing configuration drift and ensuring infrastructure changes

Involved partially in deploying WARs/EARs (backend) through Apache Tomcat Application Server console.

Support Lead developers with Configuration Management issues.

Managed all the bugs and changes into a production environment using Service Now ticketing tool.

Enforced development policies using Subversion dump and other metadata.

Acted as an Integrator for performing merge, rebase and baseline operations.

Responsible in doing build and deploying on different environments simultaneously.

Maintain and executed build scripts by coordinating with development and QA teams

Provided assistance to developers in resolving problems.

Implemented monitoring solutions like AWS CloudWatch, Prometheus and Grafana to track system performance, resource utilization and application health. I am responsible to configure alerts and notifications to proactively detect and respond to incidents, minimize downtime and service disruptions.

Created and Maintained Git repositories, branches and tags.

Handle multiple builds from Development team, create build and perform deployment activities.

Attend forum for management of release weekly meetings

Communicate status of release to all stakeholders.

Project #4:

Client : Smarc Technologies, India

Technology : Linux, Maven, Tomcat, Jenkins, shell script, Sonar, APAAS, AWS, Terraform, Docker, Nexus

Position :DevOps, AWS Engineer.

Duration :Oct 2016 –Sep 2019

Description:

Dollar General is a U.S. discount retailer with ~19,600 small-format stores that provide everyday low-cost essentials and private-label goods to underserved rural and suburban communities.

Responsibilities:

Automate Deploy process for the Java environment, compiling the project source code, and packaging using the build script and deploy to appropriate Environments

Creating branches and tags using GIT

Perform Build and deployment activities as per Build calendar

As most of the infrastructure is hosted in AWS cloud I am responsible for creating and managing EC2 Instances.

Used Chef to manage Web Applications, Config Files, Data Base, Commands, Users Mount Points, and Packages.

Troubleshooting application related issues by log verification.

Automated and implemented the Cloud Formation Stacks (JSON Scripts) for creating/administrating the AWS resources like VPC, Subnets, Gateways, Auto-Scaling, Elastic- Load-Balancers (ELB), creating DB Instances and many others across different Availability Zones. Managed S3 policies for all the buckets in dev and prod. Define lifecycle policies convert the current and version storage to Intelligent tiering.

Debugging failure issues by capturing array and register dumps with Python scripts, tracing, and running multiple experiments in collaboration with the design team.

Kubernetes and Hashicorp Vault were integrated to enable persistent volume sharing between the app and config containers, init, and configuration sidecars to be used to inject configurations at runtime for each service.

Redhat Linux OS on WebSphere, JBOSS, and Oracle database servers was upgraded from V3, VA, to VS.

Day-to-day management and troubleshooting of VMS and Docker swarm in GCP.

Extensive involvement in LINUX/Unix system Administration, System Builds, Server Builds, Installations, Upgrades, Patches, Migration, Trouble shooting on RHEL.

Set up Kubernetes (k8s) Clusters for running microservices and pushed microservices into production with Kubernetes backed Infrastructure. Development of automation of Kubernetes clusters via playbooks in Ansible.

Deployment of War files in Tomcat application servers using Nolio Deployment tool.

Deployment of Ear files into JBoss application servers using APAAS,Execution API

Handle multiple builds from development team, create build and perform deployment activities.

Maintain Dev, QA, Performance & UAT environments i.e. make sure they are always up and running.

Configuration of Jenkins CI tool for automated build & deployment process and Integrating Jenkins.

Preparing Deployment plans for different Environments in Release operation Center

Provide application support and responsible for all environments.

I have experience working in CI/CD environment setup using Jenkins.

Troubleshooting application related issues by log verification.

Maintain track of different releases that are being carried over in different environments.

Performed the SCM migration from Subversion to GIT environments.

Supports for the Development tools like Jira/Nexus.

Based deployments to Amazon–EC2, Upload Build artifacts in to Amazon S3 location, Created VPC, Create and manage AWS users and groups through IAM, Monitoring servers through Amazon Cloud Watch, Setup/Managing Databases on Amazon RDS (MONGO DB).

Creating the Azure site Recovery and Azure Backup plan as per user request.

Creating the Azure portal and managing the azure subscription.

Good understanding of Software Development Life Cycle (SDLC) processes. Supported multiple teams throughout SDLC to achieve better productivity.

Daily activities include like scheduling builds for multiple projects, deploying the artifacts in multiple QA and Dev environments and debugging issues.

EDUCATIONAL DETAILS

B. Tech in Computer Science and Engineering.



Contact this candidate