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Devops Engineer Resume

SUMMARY

  • Bilingual DevOps Engineer with a background in designing, testing and implementing infrastructure and applications. Skilled and experienced with source control tools to identify and fix bugs in code. Consistent team player with exemplary multitasking abilities.
  • Expertise in DevOps, Release Engineering, Configuration Management, Cloud Infrastructure Automation tools like Git, Bitbucket, Maven, Jenkins, TeamCity, Chef, Ansible, Terraform, Docker, Kubernetes, Nagios and ELK.
  • Experienced in Provisioning of IAAS & PAAS concepts of cloud computing and Implementing using, Aws, Azure, Google Cloud Platform understanding the principles of (SCM) in Agile, Scrum and Waterfall methodologies.
  • Experience in Google Cloud components, Google container builders and GCP client libraries and cloud SDK’s
  • Worked Extensively on building and maintaining clusters managed by Kubernetes, Linux, Bash, GIT, Docker, on GCP (Google Cloud Platform)
  • Successfully created Kubernetes pipeline of deployment & operation activities where all code is written in java, python& stored into bitbucket, for staging & testing purpose.
  • Preferable Azure by creating multilevel hybrid pipeline of CI & CD helped clients to achieve Kubernetes platform.
  • Implemented HTTPS Ingress controller and use TLS certificate on AKS to provide reverse proxy, configurable traffic routing for individual Kubernetes services.
  • Moved all Kubernetes container logs, application logs, event logs and cluster logs, activity logs and diagnostic logs into Azure EventHubs and then into Splunk for monitoring.
  • Developed in AWS CLI script automation for EMR (end - to-end) and other AWS services and build Serverless Arch using Lambda (Boto3) and Step Functions.
  • Manage the Windows Azure infrastructure for our customers depends on their requirement. Worked on Microsoft AzureStorage - Storage accounts, blob storage, managed and unmanaged storages. Responsible of web application deployments over cloud services (web and worker roles) on Azure, using VS and PowerShell.
  • Critical thinker with a deep understanding of high availability architecture and concepts. Purpose-driven with a capacity to be a strong team player, as well as the ability to effectively work independently.

TECHNICAL SKILLS

Coding/Scripting Languages: Python, R, Java, BASH, Powershell, SQL

AWS Services: Ec2, Lambda, DynamoDB, RDS, Cloudformation, EKS, ECS, EB, ELB, AWS, SNS, S3, SES, CodePipeline, VPC, Cloudwatch

Data Analysis and Management: Pandas, Numpy

Containerization: Docker, Kubernetes, Helm, EKS

CI/CD and Automation: Hudson, Jenkins, Gitlab, ANSIBLE, Chef

Source Control Management: Git, Bitbucket, TFS

Other: Flask, Agile Workflow, Windows servers, RHEL (LINUX), and Fluent in Spanish

PROFESSIONAL EXPERIENCE

DevOps Engineer

Confidential

Responsibilities:

  • Experience building CI/CD pipelines for code development using Jenkins and CodePipeline.
  • Develop, manage, and deploy cloud infrastructures on AWS: EC2, ECS, EKS, EB, DynamoDB, S3.
  • Knowledge of Github repositories including updating, branching and merging all changes of new and existing code.
  • Configured security groups and added 10 users for AWS EC2 server instance to allow others to SSH into the server and make changes.
  • Automated process workflow with the help of DOCKER and orchestrated those multiple containers using Kubernetes to Deploy on AWS EKS with the help of Helm.
  • Designed, built, deployed the back end microservice architecture of an Eventbrite-like Application.
  • Developed REST API to route a front-end interface with ticketed event database (hosted on DynamoDB) to facilitate front-end access to and deployment of key features
  • Wrote ANSIBLE playbooks to manage Web applications, Environments configuration Files, Users, Mount points and Packages and deploying of multi machines
  • Maintained the user accounts (IAM), Cloud SQL, Cloud DNS, VPC, RDB, Cloud Datastore Cloud Bigtable, SQS and CloudPub/Sub services in Aws.
  • Working as KubernetesAdministrator, involved in configuration for web apps, Azure App services, Azure Application insights, Azure Application gateway, Azure DNS, Azure traffic manager, App services.
  • Expertise in DevOps, Release Engineering, Configuration Management, Cloud Infrastructure Automation tools like Git, Bitbucket, Maven, Jenkins, TeamCity, Chef, Ansible, Terraform, Docker, Kubernetes, Nagios and ELK.
  • DevOps practice for Micro Service and docker based cluster using Kubernetes and spinnaker as Orchestrator on application development for cloud platforms using like Spring boot, Microservices.
  • Designed and implementing Aws Cloud Infrastructure by creating templates for Aws platform also used Terraform to deploy the infrastructure necessary to create development, test and production environments.
  • Experienced in Performed back-ups, scan states and load states of user's profile during the Azure migration process.
  • Migrated 9 microservices to Google Cloud Platform from skava and have one more big release planned with 4 more microservices.
  • Experience in designing a Terraform and deploying it in cloud deployment manager to spin up resources like cloud virtual networks, Compute Engines in public and private subnets along with AutoScaler in Google Cloud Platform.
  • Worked on google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring and cloud deployment manager.
  • Experience in Designing, Architecting and implementing scalable cloud-based web applications using AWS and GCP.
  • Implemented various resources in Azure using Azure portal, PowerShell on Azure Resources Manager deployment models. Experience deploying infrastructure as code applications using ARM Templates (JSON).
  • Involved in all the stages of Software Development Life Cycle: application design, development, debugging and testing.
  • Worked on Agile Scrum Methodology to achieve collaboration between cross-functional team
  • Worked closely with developers in building Angular application and Troubleshooting UI build issues
  • Administrating and supporting company’s Azure Kubernetes infrastructure, ensuring it is secure, resilient and performance and responsible for complete DevOps activities and coordinating with development team.
  • Involved in design, implementation and modifying the Python code.
  • Developed Python and shell scripts for automation of the build and release process.
  • Ability to write SQL queries
  • Worked on the CICD setup for all the Microservices on Profile, Service Availability, Cart, Pricing and promotion, Product Configuration, Foundation framework and product listing.
  • Worked on the Microservices for Unit testing, Integration test cases, Status check foundation framework, Status check tdd contracts, Compile, Package, Verify, Quality Scan, Publish Artifact, Deploy to Development and Start Functional Testing.
  • Worked on to setup for the various Jenkins CICD pipeline configurations for all the Microservices
  • Created automation and deployment templates for relational and NOSQL databases including MongoDB and Redis
  • Experience migrating infrastructure and application from on premise to Azure and from Cloud to Cloud such as AWS to Microsoft Azure and GCP
  • Created a SPLUNK search processing Language (SPL) queries, reports and dashboards.
  • Written Jenkins file to standardize multiple stages for CI pipeline
  • Development level experience in Microsoft Azure, ASP.NET, ASP, and C #.NET, Web Services, WCF, ASP.NET Web API, ADO.NET, JavaScript, JQuery, AngularJS, Bootstrap, PowerShell, CSS, HTML, UML and XML.

Devops Consultant

Confidential

Responsibilities:

  • Worked with an agile development team to deliver an end-to-end continuous integration/continuous delivery product in an open-source environment using puppet and Jenkins to get the job done
  • Extensive working experience with different SDLC methodologies such as Agile and Waterfall with an ability to be creative and to take self-initiatives to execute/manage multiple projects in parallel during time critical situations.
  • Deployed AzureIaaS Virtual Machines (VM’s) and PaaS role instance s (Cloud Services) into secure VNets and subnets, designed VNets and Subscriptions to confirm to Azure Network Limits.
  • Acted as build and release engineer, deployed the services by VSTS (Azure DevOps) pipeline. Created and Maintained pipelines to manage the IAC for all the applications
  • Migrated 9 microservices to Google Cloud Platform from skava and have one more big release planned with 4 more microservices.
  • Experienced in processing Big data on the Apache Hadoop framework using MapReduce programs.
  • Experience in working with Windows, UNIX/LINUX platform with different technologies such as Big Data, SQL, XML, HTML, Core Java, Shell Scripting etc.
  • Design Setup maintain Administraor the Azure SQL Database, Azure Analysis Service, Azure SQL Data warehouse, Azure Data Factory.
  • Maintained the user accounts IAM Roles, Route 53(CNAME), VPC, RDB, MongoDB, SQS & SNS services in AWS cloud.
  • Implemented various resources in Azure using Azure portal, PowerShell on Azure Resources Manager deployment models. Experience deploying infrastructure as code applications using ARM Templates (JSON).
  • Creating Python scripts to fully automate AWS services which includes ELB, Cloud Front Distribution, EC2, Security Groups and S3. This script creates stacks, single servers and joins web servers to stacks.
  • Experience using Big Data technologies including Hadoop stack
  • Developed complex SQL queries and procedures for routine and ad-hoc reporting
  • Experience with Big Data tools and technologies including working in a Production environment of a Hadoop Project
  • Wrote python scripts to manage AWS resources from API calls using BOTO SDK also worked with AWS CLI.
  • Used AWS Route53, to route the traffic between different availability zones. Deployed and supported Mem-cache/AWS Elastic Cache and then configured Elastic Load Balancing (ELB) for routing traffic between zones.
  • Used IAM to create new accounts, roles and groups and policies and developed critical modules like generating amazon resource numbers and integration points with DynamoDB, RDS.
  • Wrote Chef Cookbooks to install and configure IIS7, Nginx and maintained legacy bash scripts to configure environments and then converted them to Ruby Scripts.
  • Involved in Migrating Objects from Teradata to Snowflake
  • Configured in setting up CICD pipeline integrating various tool with CloudBeesJenkins to build and run Terraform script templates to create infrastructure in Azure.
  • Heavily involved in testing Snowflake to understand best possible way to use the cloud resources.
  • Designed and implementing Aws Cloud Infrastructure by creating templates for Aws platform also used Terraform to deploy the infrastructure necessary to create development, test and production environments.
  • Worked on Power Shell scripts to automate the Azure Cloud system in creation of Resource groups, Web Applications, Azure Storage Blobs& Tables, firewall rules and used Python scripts to automate day to day administrative tasks.
  • Deployed windows Kubernetes cluster with Azure Container Service (ACS) from Azure CLI and Utilized Kubernetes and Docker for runtime environment of the CICD system to build, test and deploy.

Confidential

Database Associate

Responsibilities:

  • Extracted and communicated key details about claim status and client eligibility. by navigating secure employer databases, including Salesforce, Facets, and Altruista
  • Guiding Care.
  • Managed, analyzed, and summarized new and existing administrative data daily.

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