SUMMARY

• Experienced in AWS Cloud and DevOps Engineer with a definitive understanding of blending development and operations to quickly deliver code to customers.
• Brings 9+ years of comprehensive experience in the IT industry comprising of AWS, Linux Administrator, Continuous Integration/Continuous Delivery, Jenkins pipelines, Build/Release Management, Software Configuration and Cloud Management using different tools and Cloud System.
• Experience in working with Amazon Web Services (AWS) provisioning and good knowledge of AWS services like EC2, Lambda, S3, ECS, EKS, Glacier, ELB (Load Balancers), DynamoDB, Route53, ALB, Autoscaling Group, RDS, SNS, SQS, and EBS etc. Configured security groups, network ACLs, Internet Gateways, NAT instances and Route tables to ensure a secure zone for organizations in AWS public cloud.
• Strong expertise in managing various Cloud infrastructure including Kubernetes and Docker. Implemented high scalability, high availability and zero downtime, dynamic failover Kubernetes cluster in multi - region with state of the art monitoring and reporting mechanism.
• Hands-on, capable in build and deployment automation using AWS, Kubernetes, Docker, Jenkins using various scripting languages
• Planned and performed the upgrades to Linux RHEL 5x, 6x, SUSE, CENTOS 5, operating systems and hardware maintenance like changing memory modules, replacing disk drives. Experience with Design, code, and debug operations, reporting, data analysis and web applications utilizing Python. Writing Shell scripts for automation of daily tasks, documenting the changes that happen in the environment and in each server, analyzing the error logs, analyzing the User logs, analyzing the /var/log/messages.

TECHNICAL SKILLS

• Delivery
• AWS
• DevOps
• SRE
• Docker
• Kubernetes
• Cloud migrations
• PaaS
• SaaS
• IaaS
• Server less architecture
• Release
• Quality Engineering
• Java
• Selenium automation
• Compliance and security
• Python
• Jenkins
• Git
• Maven
• Linux
• Cloud formation
• Terraform
• Ansible
• Elastic Search
• Java
• Hadoop
• Aurora Mysql
• Oracle
• Data Analytics and Reporting Finance.

PROFESSIONAL EXPERIENCE

Confidential, NY

AWS Cloud/DevOps Engineer

Responsibilities:

• Experience in working with Amazon Web Services (AWS) provisioning and good knowledge of AWS services like EC2, Lambda, S3, ECS, EKS, Glacier, ELB (Load Balancers), DynamoDB, Route53, ALB, Autoscaling Group, RDS, SNS, SQS, and EBS etc.
• Configured security groups, network ACLs, Internet Gateways, NAT instances and Route tables to ensure a secure zone for organizations in AWS public cloud, automated using Terraform and CloudFormation scripts.
• Orchestrated Kubernetes cluster deployments and implemented multi-tenancy for microservices applications. Automated cluster creation with Terraform scripts.
• Developed a fully automated continuous integration system using Git, Jenkins, MySQL and custom tools developed in Python and Bash.
• Experience with Design, code, and debug operations, reporting, data analysis and web applications utilizing Python.
• Used the Continuous Integration tools such as Jenkins for automating/scheduling the build processes and used Jenkins along with shell or Python scripting to automate route jobs.
• Integrated Jenkins with various DevOps tools such as JFrog, SonarQube, etc. Built end to end CI/CD Pipelines in Jenkins to retrieve code, compile applications, perform tests and push build artifacts to JFrog Artifactory.
• Maintained Ansible servers and management applications that can use ServiceNow data to bring computers into a desired state by managing files, services or packages installed on physical or virtual machines.
• Experience in providing 24/7 on- call support for critical applications, Tier-0/1 Application/Projects during Go-live/App deployment Phases.
• Virtualized the servers using the Docker for the test environments and dev-environments needs and also configuration automation using Docker containers.
• Made Log gathering in ELK (Elastic Search, Logstash, Kibana) introduced FluentBit on all hubs in the bunch to send log information to Logstash. Connected channels on log information before sending to Elastic search.

Confidential, VA

AWS Cloud/DevOps Engineer

Responsibilities:

• Experience in working with various kinds of AWS services like EC2, S3, RDS, SQS, SNS, DynamoDB, Route53, EBS, Elastic Load Balancer, ALB, Auto scaling groups.
• Worked on functions in Lambda that aggregates the data from incoming events, then stored result data in Amazon Dynamo DB. This function also sends data to Amazon CloudWatch for simple monitoring of metrics.
• Integrated Jenkins with various DevOps tools such as JFrog, SonarQube, etc. Built end to end CI/CD Pipelines in Jenkins to retrieve code, compile applications, perform tests and push build artifacts to JFrog.
• Experience with Design, code, and debug operations, reporting, data analysis and web applications utilizing Python .
• Used Docker to containerized Micro services in cloud and managed clusters using Docker Swarm and Kubernetes. Developed Private cloud system solution on CoreOS using Kubernetes (Docker weave).
• Maintained Chef and Puppet servers and management application that can use ServiceNow data to bring computers into a desired state by managing files, services or packages installed on physical or virtual machines.
• Hands on experience in Waterfall, Agile Methodologies, Scrum stories and sprints experience in a Python based environment.

Confidential, Washington DC

Site Reliability Engineer

Responsibilities:

• Configured a virtual data center in the Amazon Web services cloud to support Enterprise data warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Table. Used security groups, network ACLs, Internet Gateways, NAT instances and Route tables to ensure a secure zone for organizations in AWS public cloud.
• Oversee signal acquisition within our fiber, IP connections, and AWS servers while Implementing and maintaining video.
• Execute multiple live streaming events concurrently while providing video encoding, adaptive video delivery (HLS, MPEG-DASH, MSS) and metadata for online content.
• Plan and perform video post-production tasks, including reviewing footage, audio adjustment, color correction and editing using Adobe Creative Suite while continuously maintaining an organized production process & workflow.
• Experience and knowledge Video, Audio, Network, GUI and UI Manual & Automation testing (Selenium, Python).
• Experience in IP Multicasting, IP/MPLS technology routing protocols, IGMP,, BGP, EGP, RIP, OSPF.
• Configure, operation, repair and maintenance Working with baseband, compressed and encoded digital, and analog audio/ video signal flow: HD, SD, ASI, AES and NTSC. troubleshooting Broadcast and IT equipment in live broadcast environment with the appropriate sense of urgency with critical systems.

Confidential, OH

DevOps Engineer

Responsibilities:

• Expanded big data in the cloud with Apache Hadoop by setting the multimode Hadoop cluster on AWS EC2. Enhancement of EC2 storage options to Hadoop Distributed File System (HDFS).
• Deployed DevOps using Puppet, Dashboard and Puppet DB for configuration management to existing infrastructure. Responsible for large scale Chef implementation and maintenance.
• Setup and Install Chef workstation, Chef Server and bootstrapping the Chef Clients using knife.
• Competence in Installation, Configuration, Migration, Troubleshooting and Maintenance of Splunk & Created and Managed Splunk DB connect Identities, Database Connections, Database Inputs, Outputs, lookups, access controls.
• Utilized Power Shell scripts which automates the creation of contacts from Active Directory users and updating of address books increasing productivity and efficiency.
• Expertise with GIT as source code management tool for creating the local repo, cloning the repo, adding, committing and pushing the changes in the local repo.
• Installed, configured and maintained Application/Web servers like HTTP Web Server, Apache Web Server and WebSphere on Red Hat Linux.

Confidential

Build / Release Engineer

Responsibilities:

• Developed and implemented Software Release Management and versioning strategies for various applications according to the agile process.
• Solid understanding of Linux shell and Perl scripting, UNIX, Windows, build and release engineering principles.
• Used scripting languages like Python, Bash and PowerShell for configuration.
• Worked on Tomcat, JBOSS, WebLogic and WebSphere Application servers for deployments.
• Implementing a Continuous Delivery framework using Jenkins, in multiple environments.
• Responsible for designing and deploying best SCM processes and procedures.
• Used both GIT and BIT bucket source control systems to manage code.