Cloud Engineer Aws

Harish

Email id: **********@*****.*** Ph No: 515-***-****

Devops /Cloud Engineer/Linux Administrator

PROFESSIONAL SUMMARY

Overall, 10+ years of IT industry experience as System Administrator, DevOps, and production support of various applications on Red Hat Enterprise Linux, CentOS, Debian, Ubuntu and skilled with Windows Server 2008-r2/2012-r2 on various hardware platforms and AWS cloud.

Experience with AWS Cloud services like EC2, S3, EBS, VPC, ELB, AMI, SNS, RDS, Redshift, IAM, Route 53, Auto scaling, Cloud Front, Cloud Watch, Cloud Formation, Security Groups

Experience in working on source controller tools like GitHub (GIT), Subversion (SVN) and have an experience on software build tools Apache Maven and Ant.

Designed end to end automation of infrastructure and continuous delivery of the applications by integrating Cloud Formation scripts, Jenkins, Salt, CHEF-Cookbooks& Recipes and AWS ServiceNow.

Designed, configured and deployed Microsoft Azure for a multitude of application s utilizing the Azure stack includes Compute, Web & Mobile, Blobs, ADF, Resource Groups, Azure SQL DW, Cloud Services, and ARM, focusing on high-availability, Disaster Recovery, fault tolerance, and auto-scaling.

Experience with Azure transformation projects and azure architecture decision making Architect and implement ETL and data movement solutions using Azure Data Factory (ADF).

Worked on Implementing the Argo CD for Continuous delivery of applications to kubernetes clusters.

Deployed different applications on multi cloud environment using Terraform to create environment required for high availability and to handle cross cloud dependencies.

Worked on the application as Node JS developer to build different REST API’S for modules such as user, products, & checkout.

Implemented AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, Auto scaling groups, AWS CLI.

Experience in System Administration, Configuration, upgrading, Patches, Troubleshooting, Security, Backup, Disaster Recovery, Performance Monitoring, and Fine-tuning on UNIX & LINUX Systems.

Created & used Ansible Playbooks in Ansible Tower and integrated Ansible tower with Jenkins to deploy code to different servers.

Designed micro-services solutions to modernize applications to AWS migration planning and execution effort to AWS using re-host, re-platform and re-architect/build patterns.

Worked on AWS for continuous integration of files to the UI and Worked for the backed development using Node js and MongoDB.

Experience in Designing, Architecting and implementing scalable cloud-based web applications using AWS and GCP

Provide SME in all areas of cloud (IaaS, PaaS, SaaS) to existing and perspective clients on multiple cloud platforms vSphere, vCloud, Cloud Stack, Azure, AWS and various PaaS platforms such as Cloud Foundry and OpenShift.

Configured and administrated agile tools like JIRA and Rally for defect management, project management, bug tracking, story/epics and planning iterations.

Good understanding of the principles and best practices of Software Configuration Management (SCM) in Agile, scrum, and Waterfall methodologies. Developed advanced web-based applications using JavaScript, Web Services and Databases like Oracle, MS-Access, and SQL Server.

EDUCATION

Bachelor’s- Computer Science – JNTU Kakinada University, India -2013

Master’s – Information Technology – Colorado Technical University, Co -2017

TECHNICAL SKILLS

Operating Systems

RHEL/CentOS 5/6/7, Ubuntu/Debian/Fedora, Sun Solaris 7/8/9/10, Windows Server 2003/2008/2012

Virtualization

VMware, virtual box

Languages

C#, Java, Shell scripting, Groovy, Python, PowerShell, Ruby

Networking

HTTP/HTTPS, FTP, NFS, SMB, SMTP

Build/Automation

Ansible, Chef, Puppet, Jenkins, Maven, Ant, Salt Stack

Web/Application Servers

Apache, JBoss, Tomcat, WebSphere Application Server

Databases

MS SQL server 2008, Oracle, PostgreSQL, NoSQL

Monitoring tools

Nagios, Splunk, AppDynamics, Datadog, Dynatrace

Cloud Services

AWS, MS Azure, GCP

PROFESSIONAL EXPERIENCE

Client: Workday CA/Remote Aug 2024- Present Devops/Data Engineer

Working with AWS/Azure tools and assisted in building the infrastructure or various web applications documentation and security assessment.

Integrated Snowflake's query history, audit logs, and event notifications into Splunk to provide actionable insights and improve operational visibility.

Experience with snowflake cloud data warehouse and AWS S3 bucket for integrating data from multiple source system which include loading nested JSON formatted data into a snowflake table.

Experience in performance monitoring and analysis using AppDynamics, Splunk, Dynatrace.

Strong knowledge of TCP/IP, DNS Network, Load balancing, firewalls and enterprise monitoring tools Splunk etc.

Worked and Created Terraform modules to create instances in AWS to automate process of creation of resources in AWS using Terraform.

Worked on Azure, AWS Cloud Formation, Amazon web services to create AWS instances with S3 storage and EBS storage.

Experience with Jenkins, Ansible, GitHub, Nexus, SonarQube, Microservices architecture and Docker.

Used kubernetes as an opensource system for automating deployment, scaling and management of containerized application.

Worked on Docker, OpenShift Kubernetes for the Container security engineer implementing monitoring. auditing security events on container and implement container network security detection.

Impleemted seamless migration of applications, web services, security, network and storage from on premise to the Azure Cloud.

Developed Splunk dashboards for visualizing job execution time, cluster health, resource utilization, and error tracking, improving debugging efficiency.

Automated ingestion and parsing of Databricks structured streaming logs and Apache Spark metrics into Splunk for real-time monitoring of data pipelines.

Analyse and resolve compilation and deployment errors related to code development, branching, merging, and building of source code repository using GIT versional control.

Worked in writing Bash/python scripts included Boto3 to supplement automation provided by ansible and Terraform for tasks such as encrypting EBS volumes backing AMI’s and scheduling lambda functions for routine Azure/AWS tasks.

Expertise on writing Docker files and Docker compose files for creating Jenkins image with required plugins for a project.

Hands on experience in infrastructure, security, service and operations including IAAS, SAAS, PAAS migration experience on services, storage solutions, Network Application services.

Worked on AWS EC2, EDS and S3 as a data store for storing data into the bucket. Used EC2 as an infrastructure as a Service (IAAS) and RDS as a platform as a service (PAAS).

Client: TikTok ( Bytedance ) CA / Remote Feb 2023 – July2024 Devops Cloud Engineer/SRE Engineer

Expertise in Cloud infrastructure automation which includes amazon web services, Terraform, Docker, Jenkins etc.

Developed Environments of different applications on AWS by provisioning EC2 instances using Docker, Bash and Terraform

Experience in writing infrastructure as a code (IAC) in Terraform, Azure resources manager (ARM) AWS cloud formation, created reusable Terraform modules in both Azure and AWS cloud environments.

Strong Experience in creating CI/CD pipeline using various tools such as Ant, Maven, GIT, Jenkins, SonarQube, Nexus, Azure Devops, jfrog.

Configured and integrated security gate checks into the CI/CD pipelines to ensure that only secure code is deployed to production.

Wrote power shell scripts to create the parameter files automatically for all the services in Azure Resource Manager.

Working on Jenkins on top of kubernetes to drive all automation with web-hooks tied into our GIT system. Used most recent pipeline/multi-branch usefulness for dealing with all stages of pipeline by means of Jenkins file written in Groovy.

Experienced with setup, configuration and maintain ELK stack (Elasticsearch, Logstash, and Kibana) and Open Grok source code (SCM)

Managed VMware vSphere environments including creating and maintaining virtual machines (VMs) and templates.

Managed Gitlab instances, including installation, configuration, and maintenance of GitLab community Enterprise edition.

Work Experience on CI/CD tools Azure Devops and GitHub actions to deploy the applications.

Design, build & Manage the ELK (Elasticsearch, Logstash, and Kibana) cluster for centralized logging and search functionalities for the app.

Worked on Site Reliability Engineering concepts and Devops methodologies to production application to meet organization SLO SLI and SLA objectives.

Developed and implemented automation scripts for provisioning, scaling, and monitoring data centers resources, reducing setup time and enabling rapid scaling for high-demand applications.

Leveraged Harness and automate continuous integration and deployment pipelines, reducing deployment times and improving application release consistency.

Worked on cloud development and automation using Node.js, python (Boto3), AWS Lambda, AWS CDK (Cloud Development Kit) and AWS SAM (Serverless application Model).

Good understanding and hands on experience using Client libs and integrating external JS and the java script frameworks

Strong exposure in utilizing Jenkins Github Actions and Bamboo as the CI/CD tool and built the code integration, code delivery and release pipelines.

Deployed AKS clusters for development and testing environments, enabling rapid applications development and testing.

Experienced in developing web-based applications using Python, XML, CSS, HTML Java script and jQuery.

Configured Argo CD repositories and projects for version control and deployment pipelines and utilized Argo CD features like health checks, rollbacks, and blue/green deployments.

Worked with AWS/GCP cloud using in GCP cloud storage Data-proc, Data Flow, Big-Query, EMR, S3, Glacier and EC2 with EMR Cluster.

Performed static and dynamic analysis and security SAST and DAST for various applications as per firm’s security standards

Developed and enforced build pass/fail criteria based on security vulnerabilities and compliance requirement. Reducing the risk of deploying insecure applications.

Involved in writing transforming design application-level code to interact with APIs, Angular.js, Restful using AJAX and json.

Monitored application performance using Dynatrace feature like Analysis, service flow analysis and user action tracking.

Worked on Azure resources like app services, App service plan, storage accounts, Azure Data factory, Azure Databricks, Key Vault, VM etc.

Collect and analyze Dynatrace and sumo logic data to get real time production usage and Created Dash Board in Sumo Logic like OS Logs, Application logs.

Worked and Implemented deployment efficiency and reduced manual intervention by automating deployment with Argo CD and Github Actions.

Proficient in using GitLab for version control, branching, merging, and resolving merge conflicts and ensure best practices in version control using GitLab Workflows.

Implemented the continuous integration (CI) with the help of Git/ Gitlab/Jenkins/Automation setup for the applications that I worked on. In Jenkins also worked on slave setup and multi jobs.

Develop CI/CD pipelines for automated Dev/Prod deployments in AWS by integrating with other systems like Jenkins and GitLab, GitHub Actions, Team city Circle CI.

Deployed and configured Prometheus and Grafana for Monitoring ML model performance and infrastructure health.

Connected AKS with other Azure services like Azure Container Registry for seamless container image management and Azure Policy for enforcing organizational compliance.

Experience in kubernetes to deploy scale, load balance and manage Docker containers with multiple namespace versions and good understanding of OpenShift platform in managing Docker Containers and Kubernetes Clusters.

Build/Maintain Docker container cluster managed by Kubernetes, linux, Bash, GIT, Docker, using Kubespray. Utilized kubernetes and Docker for the runtime environment of CI/CD system to build, test and Deploy.

Experience with integrating EKS with VPC and security groups for network isolation and integrated CI/CD pipelines with EKS for automated deployments.

Design extensive cloud formation templates for provisioning AWS infrastructure using urban code Deploy tools for SAST, DAST, IAC, infrastructure and compliance scan applications.

Advanced development experience with Angular.JS including authoring complex directives, services, controllers and filters.

Created user interface of website using the python, XML, HTML, CSS, JSON, jQuery and used the CSS bootstrap frameworks

Responsible for maintaining and establishing Service Level Indicators (SLI) & Service Level Objectives (SLO) and Error Budgets for running systems and making sure they are met.

Experienced in creating projects in Argo CD & deploying Argo CD into the Kubernetes cluster from the scratch.

Working Experience in creating shell scripts for canary and full deployments through Harness.

Deployed and managed custom container images in kubernetes environment, utilizing Helm charts for efficient deployment and scalability.

Implemented and optimized VMware VCenter server for centralized management of virtualized infrastructure.

Worked on development of backend services using python, SQL and Linux. Created many APIs for scrum project which involves creating and maintaining projects in an organization and developed UI using HTML, CSS and Java script

Performed troubleshooting fixed and deployed many python bug fixes of the two main applications that were a main source of data for both customers and internal customers service team.

Identified performance bottlenecks and root causes of application using Dynatrace AI and problem identification features.

Working experience in creating pods clusters in kubernetes and deploy those using OpenShift.

Automated AWS s3 data upload/download using python scripts and implemented AWS solutions using DynamoDB, EBS, Elastic Load Balancer, Auto scaling groups.

Implemented monitoring solutions like Prometheus, Grafana to monitor EKS cluster health and application performance.

Experienced cloud infrastructure automation which includes Amazon Terraform, GitHub, Harness, AppDynamics, Tomcat.

Worked with Cloud stack such as AWS (Cloud Formation) and VMware stack. Experience in web development with python, Bash/Linux and Django, SQL with celery and RabbitMQ.

Worked extensively with Ansible, Salt stack that automates cloud provisioning, Configuration management application deployments intra-services orchestration and many other IT needs.

Configure the cloud development kit (CDK) environment which includes installing the necessary tools such as node.js and AWS CLI, and setting up your AWS credentials for authentication.

Client: Walmart – Sunnyvale (Remote) Jan 2022 – Jan 2023 DevOps Engineer/Platform Engineer

Experiencing in triggering cloud watch alarms specified thresholds with metrics notified by creating subscribers by using SNS.

Experience in dealing with azure Iaas, virtual networks, virtual machines, cloud services, vpn, application gateways and windows Azure Pass storage.

Worked on the PCF on EC2 to manage the containers created by pivotal cloud foundry PCF. Used Docker to virtualize deployment containers and push the code to EC2 cloud using Pivotal Cloud Foundry (PCF)

Managed users, groups and ssh keys OneOps on-premise infrastructure to restrict the access to servers managed linux servers.

Setup and managed DAST tools (OWASP, and App Scan) to detect vulnerabilities in running applications.

Used Docker, Kubernetes and OpenShift to manage micro services for development of continuous integration and continuously delivery.

Worked as SME for ServiceNow implementing of service catalog and Cloud Management platform for AWS and Azure.

Created and designed the terraform templates to create custom sized VPC, NAT subnets for the deployment of web applications and databases.

Designed and implemented AKS Cluster to support microservices architecture, ensuring high availability and scalability.

Created Cron-Argo CD workflows to run security scans, compliance scans and trigger builds for applications run in a cluster.

Implemented secure configurations for EKS clusters using IAM roles and Kubernetes Network Policies.

Automated Dynatrace configuration management and deployments using Dynatrace API or infrastructure as a code (IAAC).

Work experience on CI/CD tools Azure Devops and Github Actions to deploy the applications.

Experience in installing and configuring MySQL replication clusters SQL Active / passive clusters.

Implemented and utilized multiple MySQL tools like MySQL dump and MySQL Enterprise backup based on client standards.

Deployed Azure cloud services into secure subnets and designed network security group to control inbound and outbound access to network interfaces.

Generated CI/CD pipelines to deploy updates and manage configuration changes across data centers infrastructure.

Integrated automation tests in continuous integration tools Azure Devops and GitHub Actions for nightly consignment run of the script.

Continuously monitored and refined security gate checks to adapt to emerging threats, ensuring ongoing protection and compliance in the build process.

Create develop and test environments of different applications by provisioning Kubernetes clusters using Docker, Ansible, and Terraform.

Responsible to deploy all the Apigee message processors and routers in the multiple environments.

Worked on Harness to implement advanced deployment strategies like Blue-Green, Canary and Rolling deployments.

Hands on experience in Building Splunk dash boards using XML and as well as created scheduled Alerts for applications.

Worked on creating process, procedures, standards, and requirements for the Devops AEM administrator teams.

Configured Network load balancers, firewall rules for secure DMZ segment of the kubernetes OpenShift cluster.

Strong experience and knowledge of real time data analytics using spark streaming, Kafka and Flume.

Wrote shell, Groovy, Python script to automate the build/deployment process, extensively involved in automating migration of files in different environments like DEV, QA and Production.

Worked with containerization tools, implement transition to docker and develop distributed cloud systems using kubernetes and Helm package manager for kubernetes.

Developed backup and disaster recovery strategies for AKS cluster, ensuring data protection and business continuity.

Responsible for CI/CD process implementing using Jenkins along with shell scripts and Groovy to automate regular jobs.

Worked on integrating git hub repository with Jenkins, bitbucket and scheduling jobs by using poll SCM and integrated in code checkout process.

Created Azure Key Vault for storing connection string details, certificates and use the key Vaults in Azure Data Factory while creating linked services.

Improving the performance and optimization of the existing algorithms in Hadoop using Spark, Spark SQL and Data Frame.

Worked on Control-M to automate and manage the business process, workflows and applications across various platforms and environments.

Strong Knowledge of Monitoring and log analytics tools like Dynatrace, New Relic, Splunk, Elastic search, Logstash, and Kibana, Grafana, Datadog, Sumo logic, Appdynamics.

Worked on Docker and Ansible in build automation pipeline and continuous deployment of code using Jenkins and wrote playbooks to automate the ansible servers using YAML scripts.

Implemented Azure Devops Services for project management tasks, Source code repository, Continuous Integration and continuous deployments (CI CD).

Used JavaScript, jQuery for user interactions in pages. Creating a responsive web application integrating Bootstrap with React js for the queries.

Implemented GitLab CI/CD Yaml configuration to define and manage infrastructure deployments as code.

Developed and implemented kubernetes manifests, Helm charts for deployment of micro servers into K8S Clusters.

Automate provisioning and repetitive tasks using Terraform and Python, Docker container, Service Orchestration.

Created Clusters using kubernetes and worked on creating many pods, replication controllers, replica sets, services, checking the health checks and ingress by writing YAML files

Experienced with setup configuration and maintain ELK stack (Elastic search, Logstash, Kibana). Also Designed to use the ELK cluster as centralized logging and search functionalities

Wrote Shell scripts to automate the WebLogic deployments and involved in migration of SVN to GIT, automated backups, cron jobs and health checks using Jenkins, bitbucket by scheduling Python and Bash script to trigger the build.

Created docker containers and building docker images and pushed them into docker images and registry.

Using ansible to manage web applications. Config files, Data Base, Commands, Users Mount Points, and packages.

Used Zabbix for instance level monitoring and Microservice health check added in the pipeline. Used Grafana for container level Monitoring.

Created and maintained documentation for GitLab workflows CI/CD setup guides, and troubleshooting tips for internal knowledge sharing.

Hands on Experience with MongoDB database concepts such as locking, transactions, replication schema design etc. Setting up mongo dB cluster such as primary, secondary and arbiter.

Managed automated oriented Linux environment through configuration tools like Ansible, Saltstack, and Chef.

Installed and configured Jenkins tools on Linux and windows platforms, to manage the slaves and bitbucket, Jenkins plugins.

Responsible for managing MongoDB environment with high availability performance and scalability perspectives.

Client: Merck, Co & Inc - Branchburg, NJ (Remote) May 2021 – December 2021 Devops Engineer / Cloud Engineer

Create and maintain highly scalable and fault tolerant multi-tier AWS and Azure environments spanning across multiple availability zones using Terraform and CloudFormation.

Utilize AWS CLI to automate backups of ephemeral data-stores to S3 buckets, EBS and create nightly AMIs for mission critical production servers as backup.

Create develop and test environments of different applications by provisioning Kubernetes clusters on AWS using Docker, Ansible, and Terraform

Involved in design and deployment of multitude of cloud services on AWS stack such as EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM, while focusing on high-availability, fault tolerance, and auto-scaling.

Used Bash and Python included Boto3 to supplement automation provided by Ansible and Terraform for tasks such as encrypting EBS volumes backing AMIs and scheduling Lambda functions for routine AWS tasks.

Written Cloud Formation Templates (CFT) for AWS infrastructure as a code using Terraform to build staging and production environments

Experienced in writing live Real-time processing and core jobs using spark streaming with kafka as a data pipeline system.

Involved in setting up Jenkins Master and multiple slaves for the entire team as a CI tool as part of Continuous development and deployment process.

Data Factory for on-perm to Azure SQL and Azure SQL to Microsoft Cloud Internal Implementation Cosmos DB

Designing integration points with external systems which Azure integrate with applications within Entitlement’s system.

Extensive experience in designing and implementation of continuous integration, continuous delivery, continuous deployment through Jenkins, Bitbucket.

Migrated an existing on-premises applications to AWS using AWS services like EC2, S3 for small data sets processing and Storage and Experienced in maintaining Hadoop cluster on AWS EMR.

Prepared standard design documents FD, Technical Specification TD, ETL Specifications and Migration documents.

Experience with container-based deployments using Docker, working with Docker images, Docker hub and Docker registries, installation and configuring Kubernetes and clustering them.

Managed Kubernetes charts using Helm and created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files & releases of Helm packages.

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.

Automated Various infrastructure activities like Continuous Deployment, Application Server setup, Stack Monitoring using Ansible Playbooks and integrated Ansible with Jenkins also provisioned and patched servers using Ansible.

Client: Principal Financial Group – Des Moines, IA May 2019- May 2021 DevOps /Azure Engineer

Deploying applications on the Azure platform by developing ARM templates and triggering it through Azure. Managing multiple Azure subscriptions in automating the Azure VM provisioning, Blob storage, Cosmo DB, file blobs, Azure disks for the Azure VM.

Setup AZURE Virtual Appliances (VMs) to meet security requirements as software-based appliance functions firewall, WAN optimization and intrusion detections.

Responsible for Configuring Cloud platform with Virtual Networks Multi-site, Cross-site, VMs, Azure AD, Load Balancers, Azure SQL and Cloud Services. Developed Cloud Formation scripts and utilized Cloud Formation Templates (CFT) to automate launch of EC2 instances and deploying AWS resources using those templates.

Designed DevOps workflow for multiple applications by orchestrating Test, Build, Release and Deploy phases through various CI/CD pipelines using Git, Gitlab, Docker, Jenkins, Ansible & Cloud formation tools.

Integrated Oracle Identity Management multiple source target systems including SAP Factors, Sales Force, Active Directory

Create and manage fully automated CI/CD pipelines for code deployments using Team city/Octopus deploy.

Expertise in Microsoft Azure Cloud Services (PaaS & IaaS), Application Insights, Document DB, Azure Monitoring, Key Vault, Visual Studio Online (VSO) and SQL Azure.

Used Jenkins pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes

Implemented Micro-services using Pivotal Cloud foundry (PCF) platform build upon Spring Boot Services and created workflows on TeamCity for setting up automated pipelines for CI/CD with PCF.

Extensively involved in infrastructure as code, execution plans, resource graph and change automation using Terraform. Managed Azure infrastructure as a code using Terraform.

Responsible for estimating the cluster size, monitoring, and troubleshooting of the Spark Data bricks cluster.

Hands-on experience in creating Lambda Functions to test the data consistency in S3 by using the hashing and directed consequent results to respective SNS topics. Utilizing the AWS Cloud Formation, AWS OpsWorks, Code Deploy to migrate the on-premises environment to AWS cloud.

Automate provisioning and repetitive tasks using yaml Terraform and Python, Docker container, Service Orchestration

Extensive experience in defining the infrastructure as a code (IaaC) using AWS CloudFormation template service and terraform. Developed Python scripts to install and configure services as part of the init scripts.

Analyzed, Strategized & Implemented Azure migration of Application & Databases to cloud

Provisioned and maintained Amazon AWS server provisioning via Ansible, including the provisioning of the instances, ELBs, DNS, along with contribution of code to the Jenkins-AWS module on GitHub.

Experience in developing Azure API integration platform on different external systems and recommended an approach technology.

Used Apache Tomcat as the application server for the deployment of the code on windows and Linux environments. Administered and deployed HTTP web server and Apache Tomcat Servers in deploying web applications on a clustered environment on Tomcat and JBOSS to maintain the clusters and load balance through Groovy and Shell scripts.

Experience with deployment automation and virtualization tools and Strong preference for Hashicorp stack Terraform, Packer.

Working Experience on Azure Databricks cloud to organizing the data into notebooks and making it easy to visualize data using dashboards.

Implemented automated local user provisioning in instances created in OpenStack cloud through Ansible Play book. Worked on Platform as a service (PaaS) and according to the requirement deployed open-source Cloud Foundry on vSphere and installed Cloud Foundry on AWS and Open stack.

Configuration handling JIRA, Confluence, JIRA Agile and Provided ongoing support and configuration for JIRA ServiceNow, workflows, screens, fields, permissions, and other administrative tasks.

Worked with Helm charts to define, install, and upgrade complex Kubernetes applications and used rollback mechanism to handle deployment errors.

Client: Comcast – Denver, CO Mar 2017 – May 2019 DevOps Engineer

Provisioned Web server such as Apache and IIS to deploy and scale services developed with Java, Python, Ruby, PHP and Node js, in the Azure, AWS cloud using Elastic Beanstalk.

Designed, configured and deployed Microsoft Azure for a multitude of application s utilizing the Azure stack includes Compute, Web & Mobile, Blobs, ADF, Resource Groups, Azure SQL DW, Cloud Services and ARM, focusing on high-availability, Disaster Recovery, fault tolerance, and auto-scaling.

Implement highly available and disaster recovery solutions in Azure to meet the customer SLA requirements

Created Typescript reusable components and services to consume REST API's using Component based architecture provided by Angular.

Integrated Jenkins with

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