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Devops Engineer Resume

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Rolling Meadows, IL

SUMMARY

  • Over 6+ years of IT experience as DevOps Engineer in applications configurations, code compilation, building, automating, managing and releasing code from one environment to other environment and deploying to servers.
  • Experience working in Agile Software Development Methodology that includes product backlog refinement, sprint planning, daily scrum meetings, iterative development, product demo, retrospective meetings.
  • Ansible and Chef Automation experience including writing playbooks, cookbooks, and customized recipes for test driven development environments and test kitchen.
  • Excellent hands on experience on configuration management tool like Chef, Puppet and Ansible.
  • Hands on experience in using Jenkins for continuous Integration (CI/CD) and push the code to production.
  • Implemented highly available, cost effective and fault tolerant systems using multiple EC2 instances, Auto Scaling, Launch Configuration, Route53, SNS and Elastic Load Balancer.
  • Create ECS and EMR clusters to deploy the applications using new AMI and configure the security groups for each API.
  • Designed AWS Cloud Formation templates to create custom sized VPC, subnets to ensure successful deployment of Web applications and database templates.
  • Configured roles and groups for users and resources using AWS Identity Access Management (IAM).
  • Provide highly durable and available data by using S3 data store, versioning, lifecycle policies, and create AMI for mission critical production servers for backup.
  • Good experience on Amazon RDS to manage, creates snapshots, and automate backup of database.
  • Utilized CloudWatch logs to monitor resources such as EC2, CPU memory, EBS volumes to set alarms for notification or automated actions.
  • Scheduling cron jobs in AWS Lambda to configure the applications to run automatically using Python and Groovy scripting.
  • Create Docker and Kubernetes containers and deploy EC2 instances. Using Artifact download war, jar and pom files for running the API’s in IntelliJ.
  • Monitor logs, create dashboards, and visualize the data in ELK and Splunk for a better understanding and operation of the applications.
  • Proficient in designing and handling Tables, Views, Stored Procedures, Functions, Cursors and Triggers with SQL, Oracle Databases and MYSQL.
  • Good experience in usage of version controls such as SVN, GIT.
  • Hands on experience in Atlassian tools like JIRA and well versed in build tool Maven.
  • Excellent analytical ability, consultative, communication and management skills.
  • Self - motivated, easily adaptable to new environments and ability to work independently as well as in team.

TECHNICAL SKILLS

Programming Languages: Core Java, Groovy, Python, Shell scripting and SQL.

Technologies & Service API’s: JDBC, Webservices

Configuration Management tool: Ansible, Puppet, Chef, Terraform

CI/CD tool: Docker, Jenkins, Kubernetes

Databases: Oracle (8i/9i/10g/11g), SQL Server.

Application Servers: Apache Tomcat.

Web Services: REST, DOM.

Operating Systems: Windows XP/VISTA, UNIX/LINUX.

Apache Tools: Maven and ANT.

Development Tools: IntelliJ, TDD.

Cloud: Amazon Web Services

Version Control: SVN, GitHub.

PROFESSIONAL EXPERIENCE

Confidential, Rolling Meadows, IL

DevOps Engineer

Responsibilities:

  • Responsible for gathering the requirements from product owner and understanding it to meet customer needs.
  • Participate in sprint planning meetings, retrospective and follow Agile methodology.
  • For credit line increase program consumed REST webservices for sending and retrieving the data from user interface.
  • Manage iterations of developing code in source version control to Git.
  • Use company in-built workflow components to configure in JSON format to input various data and apply business logic, data transformations to make API calls.
  • Use company inbuilt Quantum Framework to ingest, process the batch and streaming data.
  • Use lambda functions in python and invoke the scripts for data transformations on large data sets in EMR clusters.
  • Update S3 bucket policy only to authorized users to access to the IAM role and cross region access rule permission. Implement new bucket policies in production and validate results using cloud watch logs.
  • Create and automate ECS clusters with new base image and destroying the existing machine (Rehydration process) using the latest AMI for security purposes.
  • Using Latency and Weighted Records in Amazon Route 53 to Route Traffic to Multiple Amazon EC2 Instances in a Region .
  • Create and write configuration files to build AWS infrastructure to on-board applications to pipeline.
  • Use Postman tool for testing the applications using endpoint URL’s and migration of SSL certificates from one version to other.
  • Create Master and Read-replica RDS database in East and West AWS console. Automate the database using lambda, bogie and python scripting.
  • Perform security scans and fixed the code using Eratocode.
  • Conduct user acceptance testing and the code is deployed to Quality Assurance then to production.
  • Install and Configured Chef Server, Workstation, Client servers and nodes, written several recipes, cookbooks in Chef to automate .
  • Experience in Designing, Installing and Implementing Ansible configuration management system and in writing playbooks for Ansible and deploying applications.
  • Provision the highly available EC2 Instances using Terraform , Cloud Formation and wrote new plugins to support new functionality in Terraform .
  • Setup continuous integration with Jenkins (CI/CD) and building the pipeline using Groovy to make sure it releases a jar version in Jfrog artifact.
  • Perform TREx activity in which applications are failed over to the AWS west region. In order to discover any issues with an application's disaster recovery configuration prior to needing it in an actual disaster.
  • Migrate the SHA1 to SHA256 checksum on the data file using Java application to validate the data migration.
  • Create Kubernetes containers to deploy and run various web applications. Also, was a part to team for analyzing microservices management using Docker.
  • Developed test plans, test cases and executed test cases associated with the software being developed.
  • Used IntelliJ IDE for developing the code. Use ELK stack for searching the data, stash the data and create an index, dashboards for keeping track of logs in Kibana.
  • Involve in daily stand ups to track project progress using JIRA and report if there are any issues.

Environment: Core Java, RDS, AWS Lambda, ELK, S3 bucket, Ansible, Chef, EMR, Groovy, Shell, Python, Microservices, Rest, Postgres, Postman, SNS, Route53, Kibana, Terraform, AMI, AWS, Jenkins, Docker, Kubernetes, Jira, Kanban, Maven, Apache Tomcat server and Git.

Confidential, Phoenix, AZ

DevOps Engineer

Responsibilities:

  • Gathering requirements and working with business analysts for resolving design issues.
  • Attended daily scrum meeting, sprint planning meeting, backlog refinements.
  • Configure Load Balancers and VPC with private subnets and performed troubleshooting for connectivity issues.
  • Extensively used Auto Scaling groups and launch configuration templates for launching Amazon EC2 instances while deploying Microservices.
  • Integrate Amazon Cloud Watch logs with EC2 instances and ECS clusters for monitoring the log files, store them and track metrics.
  • Manage the AWS cost cutting by writing the Ansible playbook for auto start/stop of AWS resources at a time of the day by triggering it from Jenkins (CI/CD) pipeline .
  • Work on enabling API gateway by working on both AWS Cloud Formation template and API gateway extension to swagger that handles all API calls providing features like processing, monitoring, authorization, access control and traffic management to various AWS services (Lambda functions) .
  • Automate the development process for deployment of the Applications, Containers and provisioning public cloud environments qa and prod with Terraform, Ansible, Docker and Kubernetes .
  • Involve in developing custom scripts using Shell and groovy scripting to automate jobs.
  • Build Automation and pipeline using configured Jenkins (CI/CD) job.
  • Develop pom.xml and .yml files for Maven build scripts and automate the batch jobs.
  • Create native SQL queries to persist data to database.
  • Use Sonar cube for rectifying the groovy code bugs and vulnerabilities in workflows.
  • Use Splunk to capture, index and correlate real-time data in the dashboard and monitor the logs for application management.
  • To automate applications set up Ansible Infrastructure and uploaded the playbooks, roles for deployment.
  • Deploy builds in various environments like Development, QA and Production.
  • Involve in all projects that move to production and work for data center exits.
  • Create Change Orders for pushing the code changes to production and taking approvals during the enterprise meetings.
  • Store the data using S3 storage bucket and restricting bucket policies and permissions to confined people.
  • Use Policy Generator in IAM to create custom policies to Users and Groups for privileges to AWS Services Enabling Cross Account Access for users by switching roles in the Dev account permission to assume the role in the Prod account.
  • Experience with ELB, routing the traffic to specific data center regions using Route53, updating the certificates to provide secure authentication for applications.
  • Configure Maven, resolve life cycle dependencies and generated artifacts for deployment.
  • Creating feature branches and checkout and merging branches through Git repository and used Git bash commands from command line tool.
  • Used JIRA tool to keep track of issues and update the status of the same accordingly.

Environment: Agile, Groovy, Shell scripting, Python, ELK, AWS, Webservices, EC2, ECS, SNS, AWS Lambda, Terraform, AWS Lambda, Ansible, Docker, Kubernetes, Jenkins, UNIX, SQL, Git, Apache Tomcat, JSON, Splunk, Eclipse, Maven and Junit.

Confidential, Monroe, LA

DevOps Engineer

Responsibilities:

  • Involved in Agile/ SCRUM based environment-Requirement Analysis, Development, System and Integration Testing and detailed Design document for the project.
  • Participate in sprint planning meetings and requirement gathering phases of SDLC.
  • Develop Chef Cookbooks to manage system configuration and for Tomcat, MySQL, Windows applications and versioned them on GIT repositories and Chef Server .
  • Work closely with software developers and DevOps to debug software and system problems.
  • Integrated Terraform with Jenkins (CI/CD) to achieve Blue Green Deployments by changing the Route 53 configuration or ELB configuration.
  • Secured Terraform state file remotely in S3 buckets by encrypting and versioning. Configured Vault to store sensitive data.
  • Defined AWS infrastructure as code by making use of various Terraform AWS modules to create VPC, subnets, EC2 instances, and RDS .
  • Create AWS S3 buckets , performed folder management in each bucket, Managed cloud trail logs and objects within each bucket.
  • Wrote Ansible code for automating secure VPC creation as well as the deployment process of standing up secure Jenkins (CI/CD) Server and ELK stack .
  • Create scripts in Python which integrated with Amazon API to control instance operations.
  • Setting up the Ansible control machine (RHEL7) and configured the remote host inventories via SSH .
  • Experience in creating Docker containers leveraging existing Linux Containers and AMI's in addition to creating Docker containers from scratch.
  • Maintain and coordinated environment configuration, controls, code integrity, and code conflict resolution.
  • Involve in writing parent pom files to establish the code quality tools integration.
  • Written Chef Cookbook recipes to automate installation of Middleware Infrastructure like Apache Tomcat, JDK and configuration tasks for new environments etc.
  • Analyze and resolve conflicts related to merging of source code for GIT.
  • Prepare documentation with all necessary steps and configurations to be covered before code is moved to production.
  • Develop test plans and execute test cases according to the acceptance criteria.
  • Configure and deployed applications on Apache Tomcat Server 8 and tracked defects using Jira.
  • Written complex SQL queries using joins to retrieve data and developed logic for calling stored procedures.

Environment: Agile, AWS Cloud, Chef, Ansible, Terraform, JSON, VPC, Subnet, EC2, ECS, UNIX, SNS, Jenkins, Groovy, Shell scripting, Apache Tomcat Server, Junit, RDS, Docker, SQL, ELK, Git and Jira.

Confidential

DevOps Engineer

Responsibilities:

  • Implemented & maintained the branching and build/release strategies utilizing Subversion /GIT.
  • Create environments in AWS cloud using infra provision tool Terraform .
  • Create a Jenkins (CI/CD) jobs for building ECS clusters to run the application on them.
  • Use Puppet server for configuration management of hosted instances within AWS.
  • Participate in configuring, monitoring distributed and multiple servers using Puppet.
  • Involved in periodic archiving and storage of the source code for disaster recovery.
  • Worked closely with developers to pinpoint and provide early warnings of common build failures.
  • Deploy Puppet dashboard for configuration management to existing infrastructure.
  • Use MAVEN as build tools on Java projects for the development of build artifacts on the source code.
  • Automate build and release management process including monitoring changes between releases.
  • Execute and maintain tasks including creating users and groups, reports and queries.
  • Create Docker images using Docker files to support Containerization of web applications.
  • Document project's software release management procedures with input decisions.
  • Develop, maintained, and distributed release notes for each scheduled release.
  • Provide periodic feedback of status and scheduling issues to the management.
  • Use Jenkins (CI/CD) AWS Code Deploy plugin to deploy to AWS cloud.
  • Experience in Cloud automation using AWS Cloud Formation templates.
  • Created views and appropriate meta-data, performed merges, and executed builds on a pool of dedicated build machines.

Environment: Subversion, GIT, Jenkins, AWS, Maven, Containerization, Puppet, Jira, Linux, XML, Windows server, Web logic, MYSQL, Shell scripts.

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