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Sr. Devops/cloud Engineer Resume

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  • 9+ years of experience as Sr. DevOps Engineer and Cloud Development Engineer involving extensive work towards code compilation, automation, packaging, building, debugging, managing, tuning and deploying code across multiple Cloud environments.
  • In - depth understanding of the principles and best practices of Software Configuration Management (SCM) in Agile, SCRUM, Waterfall methodologies.
  • Engineer and developer experience, Programming(core-java), debugging, and administration in distributed environments UNIX, Linux, Windows, data base across a wide range of products. Experience with AWS cloud services
  • 4+ Years of experience as ELK stack developer, Configuring Logstash and file beat.
  • Elasticsearch and creating new Visualizations and dashboards on Kibana
  • Experience in java, Shell and Python scripting skills create new, redesign, modify existing scripts to support and improve Java-based applications, data feeds, reporting, batch jobs, and overall system performance.
  • Strong knowledge on Ansible deployment and playbooks for CI & CD
  • Experience in various Big data technologies HAProxy, Spark, Zookeeper & Kafka, MongoDB and Elasticsearch. And expertise on self-signed certificate generation.
  • Strong understanding of and experience with multiple DevOps tools me.e. Nagios, Elasticsearch, Kibana and Ansible.
  • Exceptional communication skills and business acumen to convey complex technical and business process issues to multiple in formal presentations, desk side, and across long lines.
  • Management and design of integrated build pipelines using continuous integration workflows such as Jenkins, Docker, Kubernetes, Artifactory, and GoCD.
  • Used GIT as Version Control System for two applications. Managed development streams and Integration streams.
  • Worked on Docker & Kubernetes container snapshots, attaching to a running container, removing images, managing directory structures and managing containers.
  • Automated Compute Engine and Docker Image Builds with Jenkins and Kubernetes.
  • Having good implementation experience with installation and configuration of Kubernetes, clustering them and managed local deployments in Kubernetes.
  • Worked on Terraform creation for new data centers in AWS cloud and VM Ware.
  • Efficient in working closely with Development, QA, Product and Business owner teams to ensure high quality and timely delivery of builds and releases across multiple platforms and environments.
  • Worked as an independent contributor, Self-motivated and energetic professional, Strong Organizational skills and ability to do multitask, ability to quickly acquire an in-depth knowledge of the company's product and systems


Operating Systems: UNIX, Linux Redhat, Centos, Ubuntu, Fedora, Windows Server

SCM Tool: Subversion, GIT, Perforce, Clear case, Nexus, Artifactory

Clouds: AWS

Monitoring Tools: ELK, Nagios, CLoudwatch, Onpage, DataDog, Grafana

Build Tool: Ant, Maven, Gradle, MSBuild

CI tools: Jenkins, GOCD, Spinnaker, XDeploy.

Bug tracker & Testing: JIRA, Bugzilla, RedMine, Junit, QTP, TestRail, TeamCity

Automation Tools: Ansible, Terraform

Web Service Tools: Nginx, Apache Tomcat, Web sphere, IIS

Languages/Utilities: Shell Script, Batch Script, Ruby, Python.


BigData Tools: Hadoop, Elasticsearch, MapReduce, HDFS,Kafka, Flume, Hive, Pig.

Virtualization & Micro Services: Docker, Kubernetes KVM, LXD, Zen Citrix, EXSI, VMware Workstation, Virtual-Box


Confidential, Boston

Sr. DevOps/Cloud Engineer


  • Deploying infrastructure on AWS utilizing services such as EC2, RDS, VPC and Managed Network and Security, Route 53, Direct Connect, IAM,Terraform, Ansible, AWSCloud Watch Monitoring Management.
  • Handling and maintaining Azure DevOps Pipeline with ADO and Terraform.
  • Maintaining Terraform for Infrastructure as Code for AWS VMWare
  • Experienced in creating AWS IAM and Security Group in Public and Private Subnets in VPC. Created AWS Route53 to route traffic between different regions.
  • Launched AWS and Open Stack instances (SUSE/Ubuntu/CentOS) and Configured launched instances with respect to specific applications.
  • Implementing AWS Lambda functions to run scripts in response to event in Amazon Dynamo DB table, S3 buckets, HTTP requests using Amazon API Gateway.
  • Good experience in Core Java, Big data technologies including Mongo dB, spark, Kafka, Flume, and Hadoop cluster, ELK Stack
  • Flexible to work on single line requirements and working as a FULL stack DevOps engineer
  • Strong knowledge on Cloud environment me.e. Amazon web services EC2 instances.
  • Developed many RFE and fixed many issues. Worked on Kubernetes environment creation and deployment yamls, helm chart deployment.
  • Worked on Elasticsearch databased from last 3+ years and strong knowledge on Elasticsearch queries and Maintenance.
  • Managing AWS environment, Creating EC2, VPC, EBS, Snapshots, AMI and etc.
  • AWS infrastructure - worked on data center creation knowledge for building stack.
  • Monitoring the Local/AWS-Production stacks 24/7 and resolve the issues ASAP. me am a quick learner and good troubleshooting skills to identify and fix the issues on priority.
  • Excellent Presentation and Technical documentation skills. And Flexible and versatile to adapt to any new environment and work on any project.
  • Strong knowledge on VMWare, Amazon webservices, Clusters and dockers.
  • Management of enterprise Windows network. Support of domain controllers and internal LAN.

Environment: Terraform, AWS,S3, EBS, Terraform, ECS, EKS, IAM, Cloud Watch, shell/Python scripts, GIT, Jenkins, Maven, Nexus, Ansible, Docker, Kubernetes, JIRA, Splunk, Nagios, Python, Nginx, Tomcat, Windows and Linux environment, VMware ESX/ESXI Server and Workstation.

Confidential, Phoenix, AZ

DevOps/Automation Consultant


  • Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
  • Setup and build AWS infrastructure various resources, VPC EC2, S3, IAM, EBS, Security Group, Auto Scaling, and RDS in Cloud Formation JSON templates.
  • Working in implementation team to build and engineer servers for Linux & AIX operating systems.
  • Working on AWS cloud to provision new instances. S3 Storage Services. AWS EC2 & Cloud watch services. CI/CD pipeline management through Jenkins.
  • Deploying the big data technologies on Local, staging and production instances
  • Writing/enhancing the installer scripts & Ansible.yml file for ease deployments
  • Configuring Logstash and file beat to process production server logs and creating patterns in Logstash me.e. input and output plugin.
  • Creating customer fields and creating new visualization me.e. table, metric, line chart etc. in ELK(Kibana) for monitoring the stack.
  • Configuring Nagios alerts for Kibana visualization results and Building production containers using Kubernetes.
  • Creating EC2, VPC, EBS, Snapshots, AMI and build AWS infrastructure. Creating the build jobs and preparing the builds using build servers.
  • Deploying the builds on local of development unit testing and releasing the builds to QA.
  • Maintaining the subversion like tagging the GA sources and creating the new branches for new production version and RFE.
  • Automating the build generation and deployment process using Jenkins and Ansible.
  • Monitoring the local development stacks and resolve the stack issues with the help of IT team and ensure stack is always available for developers.
  • Maintaining the AWS staging stack like deploying the release candidate builds for QA testing and starting/stopping the instances on need basis to reduce the cost.
  • Deploying the software’s on production environment.
  • Monitoring the production stack 24/7 using few third-party tools like Nagios, Elasticsearch and Kibana.
  • Writing the custom automation plug-ins using shell scripts for Nagios and Elasticsearch
  • Writing the automation scripts to perform the scheduled activities to avoid down-time issues.
  • Writing/updating custom java tools to get the production stack summary/stats.
  • Identifying the production issues and fixing the production issues on priority base by own or taking SME assistance on need basis.
  • Working on software upgrade POC when new stable version release like spark 1.5.1 to 2.1.0, Elasticsearch 6.1 etc, deprecated methods, new API and compatibility software availabilities and benefits of new versions.
  • Working on software cluster setup POC documents and test the configuration on staging stack and prepare the checklist/steps and certify the changes by Dev and QA deploy it on production.
  • Downscaling the production/staging instances on need basis. Maintaining the customer data and do the configuration changes on need basis.
  • Involving on scalability benchmarking activities by writing the tools like data feeder, stats collectors using java or shell script and sharing the stats to team.

Environment: Linux(RHEL) Redhat, AWS, Ansible, Ansible, Terraform, Amazon EC2, Apache/ Web Server, WebSphere Application Servers Subversion, Maven, Jenkins, Apache Tomcat, JIRA, MS SharePoint XML, UNIX/LINUX, Windows, Perl Scripts, Shell-Scripts, Java/J2EE, Kubernetes, Docker, Spark, Hadoop.


DevOps/Cloud Engineer


  • AWS, Large scale Infra environments consisting of over 400+ Linux & Windows Instances running multiple technologies including Apache, Nginx, MemcacheD, MySQL, Tomcat, Kafka, AWS, Dockers, Nexus, Jenkins, Zookeeper, Storm, Hadoop, H-Base, Data dog, Log-watch, Postfix, ELK-Stack & EFK-Stack.
  • OS and Kernel Layer Tuning and Complying for Better Performance.
  • Private Cloud with Cloud-Stack and VMware EXSI consisting of 80-100+ Linux Environment For Hadoop and Other Development Tools
  • Implementation and Configuration of ELK Stack and also Configuring Dashboard with FluentD and Logly.
  • Implementation and Configuration of Identity Provider or SAML (Single Sign On) Server.
  • JIRA project tasks, story creation and kanban dashboard for checking the tasks status/roadmap.
  • Designed and implemented Ansible with Vagrant and Docker Containers to configure, install, manage and deploy releases across all environments
  • Managed and maintained ongoing changes to configuration with Ansible and Custom Scripts.
  • Template Design and Configuration for Apache Cloud-stack and AWS Cloud-Formation.
  • Hadoop multiple multi-nodes fully-distributed cluster and testing Environment Setup with simple scripts and Ansible Playbook.
  • Troubleshoot the build issue during the Jenkins build process.
  • Experience in design micro services deployment using Docker.
  • Developed build and deployment scripts using ANT and MAVEN as build tools in Jenkins to move from one environment to other environments.
  • Hadoop Cluster environment administration dat includes cluster capacity planning, performance tuning, cluster monitoring.
  • Configured, performed troubleshooting and tuning for all layers of the stack Created and implemented multi environment Nagios & Sensu monitoring and managed with Python scripts for adding and removing hosts
  • Provided timely support as needed to staging & production releases
  • Configured, performed troubleshooting and tuning for all layers of the stack Created and implemented multi environment.
  • S3 Custom Backup script and RDS Management, AWS RDS running MySQL with replication.
  • Several automated Shell and Python Script for daily and new implementation work.
  • Nginx Load balancer and webserver configuration.
  • Nagios & Sensu monitoring and managed auto-reactivation of application service with nagios reactor and sensu remediation (Tomcat, Nginx, MemcacheD, MongoDB, MySQL lots more).
  • Deploying Self Made Plugins for Sensu or Nagios with Python or Shell Script.
  • Implementation of Docker with different applications & Tools. Publishing Docker images to Docker Hub & Nexus Repo.

Environment: GIT, Jenkins, ANT, Maven, Ansible, JIRA, Python Scripting, Open stack, Artifactory, Docker, SQL, Ruby, Nagios, Kibana, Swagger, Shell, Tomcat, SVN, LDAP, Postfix.

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