SUMMARY:

• DevOps Engineer with a definitive understanding of blending development and operations to quickly deliver code to customers. Brings Seven years of extensive experience as a software professional which comprises development, cloud management and spans across several business domains.
• Experience using AWS cloud Platform including EC2, VPC, S3, RDS, CloudFormation, Route53, CloudWatch, SNS, SQS, IAM, CodeDeploy,Kinesis,Lambda and CloudFront.
• Expertise in multiple Google Cloud Services for computing: Compute Engine and App Engine, for networking: Cloud Virtual Networks, Cloud Load balancing, Cloud Interconnect specifically partner interconnect with Equinix and XPN(Shared - VPC), for storage and DB: Cloud Storage, Cloud Bigtable, Cloud SQL, and PD’s, for big data: Big Query and Cloud Data Flow, for Identity and Security: IAM, CRM and Cloud Security Scanners, for monitoring: Stackdriver, Stackdriver Logging, Stackdriver Monitoring and Pub/Sub.
• Experience using AWS Redshift as a data warehouse for storing usage reports of applications.
• Experienced in architecting highly available, fault tolerant and scalable applications in AWS platform using EC2, Auto Scaling Groups, ELB and AMI.
• Ability to create scripts using Azure PowerShell for automation and build process.
• Experience in dealing with Windows Azure IaaS- Virtual Networks, Virtual Machines, Resource Groups, Express Route, VPN, Load Balancing and Auto Scaling.
• Experience in working with Azure Blob Storage for migrating data to and from cloud.
• Familiarity working with Kubernetes to automate deployment, scaling and management of web Containerized applications on Google Cloud Platform.
• Experience developing Docker images to support Development and Testing Teams and their pipelines; distributed Jenkins, Selenium, JMeter and ELK stack images.
• Good knowledge in creation, tagging and pushing of custom Docker containers with Docker swarm.
• Experience in creating Terraform templates for launching custom sized VPC and subnets.
• Knowledge of Working with Jenkins and Maven for Continuous Integration of applications built on Mulesoft Anypoint platform.
• Hands on experience working with Hashicorp's tools like Vault,Vagrant and Packer.
• Experience in deploying custom Ansible playbooks to configure the machines in different environments with appropriate package/services and versions
• Good knowledge and experience in using Cloud Watch, Splunk, Prometheus and Grafana for logging and monitoring.
• Skills in querying relational database management systems like Oracle, SQL Server and MYSQL
• Proficiency in NoSQL databases like Amazon DynamoDB.
• Experience in building middle tier Rest APIs and Microservices using Spring Boot.
• Good experience in working with different Bug Tracking Tools like JIRA, ServiceNow.
• Automating routine tasks through apps/processes built using bash scripting.
• Developing Python Scripts to automate various system tasks, OS patches for dev environments, and deployment of applications to testing/prod environments using Python OS modules.
• Proficient in working with different protocols such as SSH, SFTP, DNS, HTTP and HTTPS.

PROFESSIONAL EXPERIENCE:

Confidential, Santa Clara, CA

Site Reliability Engineer

Responsibilities:

• Python tooling for pulling secrets from Hashi corp Vault and placing them in Kube secrets.
• Utilized Hashi corp vault to generate dynamic IAM users.
• Enabled authentication and authorization to resources on GKE through Istio.
• Setup Elasticsearch as logging backend for applications running on Kubernetes.
• Utilized Spinnaker for deploying applications on GKE.
• Extracted content of CSV files and added to BigQuery tables.
• Managed user and service accounts using Terraform.
• Involved in Terraform True Up efforts for the Prod environment.
• Working with Compute engine VMs to modify startup scripts and disk sizes on the fly.
• Debugging pod failures and connectivity issues in GKE.
• Troubleshooting scrape issues of Prometheus.
• Moving tenants across clusters in the on-prem environment.
• Working with mongodb to modify tenant configurations.

Environment: GCP, Python, Terraform, Docker, Kubernetes, Python, Bash, Linux, Spinnaker, Elasticsearch

Confidential - Fort Lauderdale, FL

Cloud Security Engineer

Responsibilities:

• Developed an automated solution using python for querying AWS and alerting the respective infrastructure owner about usage and compliance of the infrastructure.
• Configured and administered Elastic Load Balancers, Route53, Network and Auto scaling Groups for high availability.
• Managed AWS Inventory in DynamoDB with Python Boto3.
• Provisioned infrastructure across AWS workloads by utilizing Terraform Enterprise.
• Provided measures for AWS cloud implementation that resulted in a significant cost reduction for the client.
• Configured Azure services like network watcher and security center for logging.
• Reviewing the architecture of different product services, developing scripts to interact with cloud services from AWS and Azure.
• Utilized Fortify to scan front end applications for vulnerabilities.
• Hardening the virtual machines utilizing configuration management tools like Ansible.
• Monitoring network data using events in Splunk.
• Conducting security audits for validating the security posture.
• Monitoring networks for vulnerabilities using tools like Qualys.
• Developing Lambda functions for shipping logs generated by services like GuardDuty and CloudTrail.
• Developing, documenting policies and procedures for IT security.
• Handling events and incidents based on established IR framework.
• Implementing Firewalls and Cryptographic solutions for safeguarding sensitive information.
• Performing penetration testing using different tools (including nmap, Metasploit and Hydra).
• Developed Splunk queries and dashboards targeted at understanding application performance and capacity analysis across multiple teams and sectors.

Environment: AWS, Azure,VisualStudio,C#,BitBucket,Ansible,Terraform,Kubernetes,CloudFormation, Python, Shell, Artifactory (JFrog), Splunk, Alert Logic, Fortinet, Qualys, Linux,Fortify

Confidential- Kansas, MO

Cloud Devops Engineer

Responsibilities:

• Designed and developed Google Cloud Architecture for the client’s specific requirement with security as the point of focus.
• Utilized Terraform scripts for GKE infrastructure deployment.
• Involved in the integration of GKE with Prometheus for monitoring purpose.
• Building Dockerfiles and deploying containers using Jenkins.
• Deployed and configured Spinnaker for application deployment on GKE.
• Created and configured jobs along with agents in Bamboo.
• Used Deployment manager of GCP to launch instances and copy configurations into additional regions to tackle issues related to region outage.
• Configured Istio as a gateway for external services.
• Exported logs to Pub/Sub and Google Cloud Storage though Istio.
• Configured the Kubernetes cluster on GCP to establish communication between pods and MySQL instance on RDS of AWS.
• Involved in writing various custom Ansible playbooks for deployment orchestration and developed Ansible Playbooks to simplify and automate tasks. Protected encrypted data needed for tasks with Ansible Vault.
• Installed and configured Nexus to manage the artifacts in different Repositories and handling dependency management using nexus private repository.
• Developed and executed Shell scripts and worked on Python Scripting in different projects for automation of regular repeating tasks.
• Ingested logs from the applications like windows defender through data inputs.
• Utilized App Scanner for scanning security vulnerabilities on web applications.

Environment: Cloud Storage, Cloud Bigtable, Cloud SQL, Compute Engine, Stack Driver, Prometheus, GKE, Ansible, Jira, Terraform, AWS, Jenkins, Docker, Spinnaker, Bamboo,Groovy

Confidential

DevOps Engineer

Responsibilities:

• Setup of Virtual Private Cloud (VPC), Network ACLs, Security Groups and route tables across Amazon Web Services.
• Configuration and administration of Load Balancers, Route53, Network and Auto scaling for high availability.
• Configured security and patch management of Linux based operating systems.
• Integrated Github web hooks into Jenkins to automate the code check-out process.
• Migrated various applications and services of teams from on-premise to AWS cloud using AWS resources like EC2, VPC, S3, Security Groups, etc,
• Generated Ant, shell scripts for build activities in QA, Staging and Production environments.
• Worked on the transition project which involves migration activities from Ant to Maven in order to standardize the build across all the applications.
• Migrated source code management tool form SVN to GitHub and ensured to have identical configuration.
• Managed Users and Groups in GtiHub and involved in troubleshooting client spec issues and user issues.
• Configured local Maven repositories and multi-component Ant projects with Nexus repositories and scheduled projects in Jenkins for continuous integration.
• Maintained configuration files for each application for build purpose and installed on different environments.
• Directed the Release Management Calls to synchronize with the Developers, Testers and DBA teams for successful Release.
• Presented reports to the Project manager about the progress and issues tracking key project Milestones, plans and resources.

Environment:: AWS, Git, putty, Linux, windows, SVN, Java/J2EE, Ruby, Eclipse, Ant, Jenkins, Maven, Jira, Junit, Unix/Linux, Tomcat,Groovy

Confidential

Build/DevOps Engineer

Responsibilities:

• As member of Release Engineering group, redefined processes and implemented tools for software builds, patch creation, source control, and release tracking and reporting, on LINUX platform
• Installed and configured Jenkins for Automating Deployments and providing an automation solution
• Integrated GIT into Jenkins to automate the code check-out process
• Used Jenkins for automating Builds and Automating Deployments
• Maintained and tracked inventory using Jenkins and set alerts when the servers are full and need attention
• Experienced working with Puppet Enterprise and Puppet Open Source. Installed, configured, upgraded and managed Puppet master, agents & Databases.
• Assigned Puppet roles to instances as they are launched through script.
• Integration of Puppet with Apache and developed load testing and monitoring suites in Python
• Integrated delivery (CI and CD process) Using Jenkins and puppet
• Developed build and deployment scripts using ANT and MAVEN as build tools in Jenkins to move from one environment to other environments
• Installation of Application on production and Test server for the use of application development and configuration
• Dealt with Jira as ticket tracking and work flow tool
• Released code to testing regions or staging areas according to the schedule published.

Environment:: Puppet, Git, putty, windows, Java/J2EE, Ruby, Eclipse, Ant, Jenkins, Maven, Jira, Junit, Linux, Tomcat Apache Application Server

Confidential

Software Engineer

Responsibilities:

• Developed data access layer for Oracle DB using Hibernate.
• Responsible for coding of DAO classes using Spring with Hibernate.
• Developed middle tier Rest services using Spring Boot framework.
• Making changes to the JSON files and moving them to the Amazon S3, creating the VCAP-SERVICES.
• Pushing the developed code using GIT and deploying the application to development, test and production using the Jenkins build tool.
• Participated in Unit Testing and code review.
• Documentation of request submission workflow.

Environment:: Git, Java/J2EE, Scala, Spring, Hibernate, AngularJS, HTML, Javascript, AWS-SWF,windows, Maven, Jira, Junit, Tomcat Apache Application Server

TECHNICAL SKILLS:

Cloud Computing : AWS, Azure, GCP

SDLC Models : Waterfall Model, Agile Methodologies (SCRUM)

Web technologies : Apache, Tomcat, Nginx, WebSphere

Programming : Java,Python

Operating System : Windows,Linux, Ubuntu, RHEL, CentOS.

Database : Mysql, DynamoDB, OracleDB.Cassandra

Monitoring Tools : Splunk, CloudWatch, Prometheus

Scripting : Bash,Powershell

Configuration : Puppet, Vagrant, Ansible, Terraform.