SUMMARY

• Dedicated DevOps Engineer with 10+ years of total IT experience and 8+ years in DevOps and Cloud. I am looking to leverage my broad range of Cloud Administration, DevOps, and programming skills and apply them to systems engineering projects involving me in the design, development, and implementation of automated, reliable, and scalable Hybrid Cloud infrastructures.

TECHNICAL SKILLS

CLOUD: AWS, Azure, OpenStack

SCRIPTING: XML, FTP,Python, UNIX, Shell scripting, LINUX, YAML, Puppet, HCL

OPERATING SYSTEMS: Unix/Linux,Windows 10, Ubuntu, Apple OS, CentOS, Red Hat, Windows Servers

FILE FORMATS: Parquet, Avro, JSON, ORC, text, CSV

DEVOPS: Docker, Ansible, Kubernates, Chef, Puppet, Jenkins, Vagrant, Maven, Subversion, GIT Build, CI/CD, EKS, ECS, ECR, AKS, Azure DevOps Pipeline

NETWORK PROTOCOLS: HDFS, SMTP, SNMP, ICMP, TCP/IP, FTP, TELNET, UDP, and IP, iSCSI, Fibre Channel, NIS, NFS, DNS, DHCP, Cisco Routers/Switches, WAN, LAN, NAS. SAN.

DATA VISUALIZATION and MONITORING TOOLS: CloudWatch, Prometheus, Grafana, ELK, Tableau, PowerBI, Nagios, Athena

PROGRAMMING LANGUAGES: Python, Java, Perl, C, C++

DATABASES: Microsoft SQL Server Database (2005, 2008R2, 2012)

PROFESSIONAL EXPERIENCE

Confidential

Sr DevOps ENGINEER

Responsibilities:

• Design, configure and deploy Amazon Web Services (AWS) for multiple applications using the AWS stack (EC2, Route53, S3, RDS, CloudFormation, CloudWatch, SQS, IAM), focusing on high - availability, fault tolerance, and auto-scaling.
• Handle migration of on premises applications to cloud and create resources in cloud to enable this. Use all critical AWS tools, use ELBs and Auto-Scaling policies for scalability, elasticity, and availability.
• Write CloudFormation Templates (CFT) in JSON and YAML formats to build the AWS services with the paradigm of Infrastructure-as-Code.
• Configure ELK stack in conjunction with AWS and use Logstash to output data to AWS S3.
• Create automation and deployment templates for relational and NoSQL databases, including MSSQL, MySQL, Cassandra, and MongoDB in AWS.
• Create Python scripts to Automate AWS Services, which include web servers, ELB, CloudFront Distribution, Database, EC2 and Database security groups, S3 bucket and application configuration. This Script creates stacks, single servers, and joins web servers to stacks.
• Experience with Red Hat Linux, Centos, and Amazon Linux servers.
• Create Infrastructure in a coded manner (Infrastructure-a- Code) using Puppet, Puppet Bolt, and Jenkins. Beginning to leverage Terraform along with the previously mentioned tools to automate AWS
• Built Jenkins jobs to create infrastructure from local Git repos containing Puppet and Puppet Bolt code.
• Good on implementation of Jenkins / Hudson as continuous integration tools.
• Hands-on development and configuration experience with software provisioning tools such as Ansible, Puppet, and Puppet Bolt.
• Experience with Terraform for automating AWS EC2 creation.
• Hands-on experience with JBoss Application Server, WildFly and Apache Tomcat
• Experience with automated deployment and configuration of Redis for application caching.
• Knowledge and experience with MongoDB, Elastic Search, Logstash, and Kibana.
• Work on DevOps operations processes and tools area (code review, unit test automation, build & release automation, environment, and service).

Confidential

AWS DevOps ENGINEER

Responsibilities:

• Integrated automated build with deployment pipeline. Installed Ansible Server and clients to pick up the build from Jenkins’ repository and deploy in target environments (Integration, QA, and Production).
• Involved in designing and deploying multitude applications utilizing most of the AWS stack (Including EC2, Route53, S3, RDS, IAM), focusing on high availability, fault tolerance, and auto-scaling in AWS CloudFormation.
• Worked on AWS ELB and configured the auto scaling per the application user traffic and managed the multi-tier and multi-region architecture using AWS CloudFormation.
• Maintained high-availability clustered and standalone server environments and refined automation components with scripting and configuration management (Ansible). Wrote Ansible scripts.
• Played a key role in converting 50+ existing Jenkins’ jobs into the new pipeline process.
• Built Jenkins’ jobs to create AWS infrastructure from GitHub repos containing Terraform code and administered/engineered Jenkins for managing weekly builds.
• Experience working on version control systems like Subversion and GIT and used Source code management client tools like Visual SVN, Tortoise SVN, Stash, Source Tree, GitBash, GitHub, Git GUI and other command line applications, etc.
• Wrote Terraform Templates for AWS infrastructure-as-Code to build staging and production environments.
• Drove DevOps adoption across the enterprise, which included knowledge sharing and demoing tools promoting DevOps culture.
• Administered Git repositories and assisted developers in managing version control branches/tags.
• Worked with developer teams to set up CI/CD pipelines using Jenkins and Octopus Deploy.
• Performed troubleshooting, compiled build failures, and facilitated resolutions.
• Set up dev, test, UAT, and prod environments in Octopus Deploy using Blue/Green deployment strategy.
• Worked with DevOps team to spin up a lift and shift infrastructure in Azure.
• Created and managed resources in Azure like Virtual machine, Blob storage, App Services, Azure Container Registry, and Key Vault.
• Hands on experience deploying containerized applications in Azure Kubernetes cluster.
• Experience building and creating containers using Docker images and deploying the applications.
• Wrote Ansible Playbooks for installations of various tools and frameworks on on-prem or cloud machines.
• Applied monitoring tools such as Azure app insights to investigate and troubleshoot performance issues.
• Worked on setting up app services in Azure using PaaS infrastructure for applications.
• Created and maintained continuous integration process documentation.
• Monitored and responded to alarms and proactively identified and resolved problems.

Confidential

Cloud ENGINEER

Responsibilities:

• Designed, developed, and implemented fully automated server build management, monitoring, and deployment solutions spanning multiple platforms, tools, and technologies, including Jenkins Nodes/Agent, SSH, Amazon EC2, etc.
• Defined AWS Security Groups, which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances.
• Worked with DevOps practices using AWS, Elastic Beanstalk, and Docker with Kubernetes.
• Integrated automated build with deployment pipeline. Installed Ansible Server and clients to pick up the build from Jenkins’ repository and deploy in target environments (Integration, QA, and Production).
• Involved in designing and deploying multitude applications utilizing most of the AWS Stack (Including EC2, Route53, S3, RDS, IAM), focusing on high availability, fault tolerance, and auto-scaling in AWS CloudFormation.
• Worked on AWS ELB and configured the auto scaling per the application user traffic and managed the multi-tier and multi-region architecture using AWS CloudFormation.
• Versioned CloudFormation templates, created and managed Azure Stack and integrated with Azure Operational.
• Participated in Azure environment set up for POC with AWS by setting up various services of Azure and AWS and compared their performance.
• Automated various infrastructure activities like continuous deployment, application server setup, and stack monitoring using Ansible playbooks using CI tools like Rundeck and Jenkins.
• Proficient in creating Jira Agile Projects, Fields, Screens, and notification scheme as per the requirement.
• Good at business process flow, business process modeling, business analysis, and testing various methodologies.
• Experienced migrating Jira from various other tool sets like Service Now, including test cases and test runs.
• Performed Atlassian Tools upgrade in Dev, UAT, and Production environments.
• Provided user management, implemented SSO, provided training to various teams and support for JIRA and the rest of the Atlassian applications.
• Applied built-in customization and third-party add-ons to extend JIRA functionality as needed to meet client’s requirement.
• Supported multiple projects, including set up and management of users, project roles, time tracking, security, and plug-ins.
• In depth knowledge of Agile/Scrum, Waterfall methodology, Use Cases, and Software Development Life Cycle (SDLC) processes.
• Created advanced workflows, conditions, scripted fields, and extended Jira’s functionalities by Groovy scripting through plugins like Script Runner.
• Provided recommendations to end users and leaders about best practices and standardization, implementing and leveraging processes within the Jira platform.
• Upgraded, migrated, and Integrated Jira with Atlassian applications and with other toolsets such as SVN, Artifactory, Jama, and Jenkins.
• Assisted in assessment of existing production systems and configuration services for upgrading.
• Provided technical expertise for analysis and assessment of current security and database configuration services.

Confidential

AWS Cloud Engineer

Responsibilities:

• Imported write playbooks/roles from scratch using YAML. Installed and set up to automate all systems administrator/engineering tasks such as patch servers, mount filesystems, standardized server configuration, deploy applications, firewall rules, file systems, storage systems, job scheduling security, and systems resource monitoring.
• Developed Ansible Custom modules and created Ansible dynamic inventories.
• Developed Ansible playbooks for use in deploying applications and systems to servers via Ansible Tower.
• Built, monitored, and supported patching and upgrades to Linux servers (RHEL 6&7&8, SUSE, Solaris).
• Performed troubleshooting and fixed networking and applications issues.
• Resolved incident tickets on server configuration changes and sub-systems failures and worked with Break-Fix team for ticket resolutions.
• Established a complete DevOps pipeline using various tools: Git, Jenkins, Maven, Docker, Ansible, Kubernetes.
• Created Dockerfile and automated Docker image creation using Jenkins and Docker.
• Used Ansible and Terraform to migrate legacy and monolithic systems to Amazon Web Services.
• Automated infrastructure provisioning on AWS using Terraform and Ansible.
• Set up Jenkins’ master, added the necessary plugins and added more slaves to support scalability and agility.
• Used Kubernetes to orchestrate to deploy, scale, and manage Docker container.
• Set up Kubernetes environment on premise on AWS Cloud.
• Collaborated with development and production teams to ensure smooth running of the pipeline.
• Performed server patching using Red Hat Satellite Server.
• Monitored systems and diagnosed, troubleshot, and resolved hardware/software/application issues.
• Created and maintained SOP to be used by other Systems Administrators.
• Worked closely with Site Reliability Engineering team charger to configure, monitor, diagnose, troubleshoot, and resolve incidents tickets about server hardware issues (CPU, DIMM, PSU, HBA, RAID).

Confidential

Software Release Engineer

Responsibilities:

• Established and automated the process of artifact promotion and handled multiple AWS accounts (prod and non-prod).
• Exported logs from CloudWatch to AWS S3 for consumption by Splunk.
• Designed and supported planned systems maintenance activities while minimizing impact to load balancer, monitoring, metrics, and long using AWS cloud resources security and access control.
• Architected the redesign of age-old App(advertising) with AWS Application load balancer, Elastic Container Service, RDS, Identity Access Management (IAM), and API Gateway.
• Automated the base Infrastructure and created and deployed the application in under 70 minutes using Jenkins, Groovy, Python, AWS Java-SDK, and CloudFormation.
• Automated, configured, and deployed instances on AWS and Rackspace cloud environments with sound knowledge in ELK Stacks Elasticsearch, Logstash, and Kibana.
• Responsible for deploying and scaling web applications of AWS Elastic Beanstalk and services developed with Python, Ruby, and Docker on familiar servers Apache and Nginx.
• Configured cloud trail to monitor API activity of users.
• Worked on CloudFront to deliver content from AWS edge locations to users, allowing for further reduction of load on front-end servers, Managed and analyzed scalable data using AWS Redshift cluster.
• Worked on AWS Lambda to run servers without managing them and to trigger to run code by S3 and SNS and used Amazon API Gateway to process multiple concurrent API requests.
• Set up and built AWS infrastructure resources VPC, EC2, S3, IAM, EBS, Security Group, Auto Scaling and RDS in CloudFormation using Python Boto3 framework and JSON templates.
• Set up and configured IIS and application pools and deploying ASP.NET web application to AWS to increase app performance.
• Migrated existing Java applications and outgoing proxy servers from on-premises VM-based to microservices applications in GCP.
• Evaluated performance of GCP instances, CPU, Memory Usage and set up health checks, GCSs, and VPC Setup Alerting and Monitoring using Stackdriver in GCP.
• Migrated on-premises lower environments to Cloud SQL and GCE in GCP cloud to streamline OLTP.
• Developed and executed Kubernetes clusters on multiple cloud provider AWS (EKS) and GCP (GKE) through the utilization of Terraform and Helm Charts.
• Worked on Terraform, which was used to create and compose the components necessary to run the application. Changed the existing Terraform templates to Cloud Formation Templates for use in the AWS environment.
• Executed continuous integration webhooks and work processes around Jenkins to automate the dev-test send work process around Chef and Managed Chef Cookbooks to automate system operations AWS Cloud management and Chef Automation.
• Deployed Kubernetes cluster with Amazon Kubernetes Service (EKS) from AWS CLI and stored in Amazon Container Registry (ECR).
• Created Golang code base for Kubernetes deployment by using the source control of the deployment and HPA YAML files.
• Re-designed the CICD process by leveraging Jenkins shared libraries.
• Created and maintained the various flavors of Jenkins worker Docker agents JDK8,11, Node6,8 Ruby, python, packer and CLI.

Confidential

Software ENGINEER

Responsibilities:

• Involved in Software Development Life Cycle (SDLC) of the project.
• Worked in different phases of the project cycle such as design, development, and testing.
• Performed requirements analysis to capture functional/non-functional requirements and develop solutions to satisfy the requirements.
• Refactored Java code to Kotlin for existing applications while using Kotlin to implement new features.
• Mentored junior developers and assisted with code reviews and code refactoring.
• Worked with Custom Frameworks and Custom Views for building this application.
• Involved in post-production support and maintenance process to fix the bugs.
• Supported the design, development, testing and implementation of new business and support applications.
• Responsible for consuming REST services using Retrofit to get the JSON data and parse it using GSON library.
• Involved in development and enhancements of features to restrict the usage based on Authorization and Authentication tokens.
• Used GIT for project management and version control.
• Worked closely with the UX designers on reviewing the design and feasibility,
• Responsible for working on Custom UI widgets for summary.
• Inserted suitable code to capture the various button and text field events and implemented the desired action for each of the widgets.
• Developed application using components like Activities, Fragments, Broadcast Receivers and Services in Android.
• Worked with ButterKnife, Font Awesome, and JSON.