Engineer Aws

Location:

Jersey City, NJ

Posted:

July 09, 2019

Contact this candidate

Resume:

Siva Nagi Reddy Chejeti

Sr. AWS/DevOps Cloud Engineer

Email: ********@*****.***

Phone: 732-***-****

Professional summary:

Over 8+ years of experience in IT industry with in Configuration Management, Change/Release/Build Management, System Administration, Support and Maintenance in environments like Red Hat Enterprise Linux, CentOS and expertise in automating builds and deployment process using Python and Shell scripts with focus on DevOps tools and AWS,Oracle and GCP Cloud Architecture.

Experience in working on AWS and its services like AWS IAM, VPC, EC2, ECS, EBS, RDS, S3, Lambda, ELB, Auto Scaling, Route 53, Cloud Front, Cloud Watch, Cloud Trail, SQS, and SNS and experienced in Cloud automation using AWS Cloud Formation templates to create custom sized VPC, subnets, NAT, EC2 instances, ELB and Security groups.

Strong experience on DevOps essential tools like Ansible, Terraform, Docker, Kubernetes, Subversion (SVN), GIT, Jenkins, Ant, Maven and migrated VMWAREVMs to AWS and Managed Services like EC2, S3, Route53, ELB, EBS.

Experienced in administration/maintenance of source control management(SCM)systems, such as sub version (SVN), GIT and knowledge of Perforce and ClearCase.

Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring using Ansible playbooks and has Integrated Ansible with Jenkins.

Experienced with principles and best practices of Software Configuration Management (SCM) in Agile, scrum, and Waterfall methodologies.

Strong experience in AWS, creating, importing and launching volumes, EC2, RDS, Lambda, security groups, auto-scaling, load balancers (ELBs), NACL in the defined VPC to design cost effective, fault tolerant and highly available systems.

Created infrastructure in a coded manner (infrastructure as code) using Chef and Ansible for configuration management of virtual environments, and Vagrant for virtual machine and resource control.

Deployment of Cloud service including Jenkins and Nexus on Docker using Terraform.

Worked on AWS Opswork, AWS Lambda, AWS code deploy, AWS CloudFormation and Cloud Foundry.

Worked on setting up the life cycle policies to back the data from AWS S3 to AWS Glacier.

Automated the process of installation, configuration of the web application servers like WebSphere/WebLogic/Apache Tomcat/JBOSS using Ansible / Chef .

To achieve Continuous Delivery goal on high scalable environment, used Docker coupled with load-balancing tool Nginx .

Virtualized the servers using Docker for the test environments and dev-environments needs, also configuration automation using Docker containers.

Experience and Familiar with Virtualization technologies like installing, configuring, administering VMwarevSphereESXi.

Experienced in using bug tracking systems like JIRA, Remedy, ServiceNow.

Experience in deploying JBoss, Apache Tomcat web server, Oracle WebLogic server.

Installed, Configured and Managed Monitoring Tools such as Splunk,AppDynamics, Nagios, and Cloud Watch for Resource Monitoring.

Experience working within the AWS Big Data Ecosystem (S3, EMR, Kinesis, EC2, Glue, Athena, RDS, Redshift etc.)

Experience in Setup DMS and monitor sync, check replication status, monitor logs, tasks, table statistics and DDL modification management.

Technical Skills:

Languages : Python, Shell Scripting,YAML

Databases : MySQL, Oracle,MongoDB

Automation Tools : Chef, Jenkins, Ansible, Terraform, bamboo, Spacewalk

Scripting Languages : Shell, Python, Ruby,YAML

Operating Systems : Windows, Red Hat, Centos, Ubuntu, Sun Solaris

Application Servers : Oracle WebLogic, Tomcat, WSO2, K2View

Cloud Platforms Amazon Web Services, Azure, Oracle Cloud Platform

Virtualization Tools : Docker, Kubernetes, Oracle virtual box, VMware

Networking : TCP/IP, DNS, NFS, LDAP, SSH, SSL, SFTP, SMTP

Version &Change Control : GIT, SVN, CVS, Bit bucket

Web/ APP Servers : Apache Tomcat, WebSphere, JBoss, Web Logic

Build Tools : Maven, Ant

Source Control : GIT, SVN

Other Tools : JIRA, Confluence, Cloud Watch, Nagios, Appdynamics.

Certifications:

AWS Certified Solution Architect Associate.

AWS Certified Solution Architect Professional.

Oracle Certified 11g Associate.

Architecting Microsoft Azure Solutions (70-534).

Training:

Awesome Day Online Conference 2016.

Oracle Cloud Day Conference 2016.

AWSDev Day Conference 2017.

AWS Solution Architect Professional.

Education

Master of Computer Applications (MCA) from JNTU University, India in 2011.

Bachelor of Science (B.Sc.) from ANU University, India in 2008.

Professional Experience:

Employer:Vensit Jan2019-Present

Client:DataMetrics

Sr. Cloud/DevOps Engineer

Worked in AWS environment, instrumental in utilizing Compute Services ( EC2, ELB), Storage Services (S3, Glacier, Block Storage, Lifecycle Management policies), CloudFormation(JSON Templates), Elastic Beanstalk, Lambda, VPC, RDS, Trusted Advisor and Cloud Watch.

Designed & implemented VPC service for extension of on - premises datacenter with AWS Cloud using VPN.

Migrated Linux environment to AWS by creating and executing a migration plan, deployed EC2 instances in VPC, configured security groups &NACL's, attached profiles and roles using AWS Cloud Formation templates and Ansible modules .

Scripting infrastructure and (Linux) machine provisioning using bash and the PythonAWS-SDK.

Used Amazon Route53 to manage DNS zones globally & to give public DNS names to ELB's and CloudFront for Content Delivery.

Used IAM to assign roles, to create and manage AWS users, groups, and permissions to use AWS resources.

Utilized Chef, Ansible and Opswork as configuration management tools to deploy consistent infrastructure across multiple environments.

Deploying and maintaining production environment using AWS EC2 instances and GKS with Docker..

Managed local deployments in Kubernetes, creating local cluster and deploying application containers.

Container management using Docker by writing Dockerfiles and set up the automated build on Docker HUB and installed and configured Kubernetes.

Expertise in Installing, configuring & administering Jenkins on Linux machines along with adding/updating plugins like GIT, ANT, Ansible, Sonar, Deploy to Container, Build Pipeline etc.

Used Ticketing tool JIRA to track defects and changes for change management, monitoring tools like CloudWatch, AppDynamics in different work environments in real and container workspace.

Managed Ansible Playbooks with Ansible modules, implemented CD automation using Ansible, managing existing servers and automation of build/configuration of new servers.

Created Maven scripts to create multiple deployment profiles and deploy the applications to Apache Tomcat.

Ensured System Uptime by monitoring production systems and responding to issues with corrective action.

Designed and Developed automation test scripts using Python.

Employer: Infosys

Client:AT&T- California Apr 2017-Jan 2019

Sr. Cloud/DevOps Engineer

Worked with Application team to deploy Micro services based Payment gateway application solutions design, development using Docker Swarm, Kibana, Elastic Search…etc.

Resolved the technical issues of Micro Services Application like two-way handshake error, Node Connectivity issue and other connectivity related issue.

Configured WSO2 integrator in Ubuntu machine and also helped to resolve the connectivity issues from WSO2 to K2view fabric node.

Building and Restoring custom Windows AMIs from a running Windows instance.

Resolved the connectivity issues from on-premises to instances in Cloud and vice versa.

Created Private hosted zone by making necessary changes at subnet level, Route53 level and OS level.

Configured monitoring memory and disk metrics for amazon ec2 Linux instances.

Creation of Backup Automation Script Using AWS CLI on Linux Server for unattended & scheduled backup of instances and DB’s.

Worked on S3 bucket Management and Policies, Versioning.

Install new / rebuild existing servers and configure hardware, peripherals, services, settings, directories, storage, etc. in accordance with standards and project/operational requirements.

Experience in VPC, EC2, Route53, Load balancing ELB, Auto scaling architectures, messaging, Cloud watch alarms, EIP etc.

Building data pipelines on the AWS and load data into S3.

Transform and cleanse the data using AWS EMR using Spark and Hive.

Perform SQL queries on AWS with Athena and RedShift.

AWS Glue is used to explore the schema of the data as it arrives.

Adding removing servers from Load balancers, performing cold boot, reboot, shutdown servers.

Designed, built, and deployed a multitude applications utilizing almost all of the AWS stack (Including EC2, R53, S3, RDS, MySQL DB, SQS, IAM, EIP, EBS, VPC), focusing on high-availability, fault tolerance, and auto-scaling with Cloud watch monitoring.

Build and configure 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 Tables, Elastic Load Balancer.

Design roles and groups for users and resources using AWS Identity Access Management (IAM).

Provide highly durable and available data by using S3 data store, versioning, lifecycle policies, and create AMIs for mission critical production servers for backup.

Using Amazon SNS as a message bus to send messages, alarms, and notifications from AWS service such as Cloud watch, S3.

Creating Cloud watch alerts for instances and using them in Auto scaling launch configurations.

Build customized Amazon Machine Image and restoration and creation of instances using Custom AMI.

Worked DevOps methodologies and cloud infrastructure automation tools like AWS by using Terraform.

Experience in Setting up the build and deployment automation for Terraform scripts using Jenkins.

Involved in using Terraform migrate legacy and monolithic systems to Amazon Web Services.

Written Chef Cookbooks, recipes to automate installation of Middleware Infrastructure like Apache Tomcat, JDK and configuration tasks for new environments etc.

Provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new plugins to support new functionality in Terraform.

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..

Used Terraform scripts to Automate Instances for Manual Instances that were launched before.

Debugged build failures and worked with developers and QA personnel to resolve related issues.

Troubleshooting deployment and installation issues. Automated the Build Process using Jenkins.

Worked on Ansible, Chef to automate Infrastructure as a code.

Deploy and monitor scalable infrastructure on AWS& configuration management using Ansible.

Managed and Administered Apache, Tomcat, WebLogic, WebSphere and Jboss.

Designed and worked with team to implement ELK (search, log stash and Kabana) Stack on AWS.

Responsible for build and deployment automation using VM Ware ESX, Docker containers and Ansible.

Worked on NoSQL DB DynamoDB.

Launching Amazon EC2 Cloud Instances using Amazon Images (Linux/ Ubuntu) and Configuring launched instances with respect to specific applications.

Creating Cloud watch alerts for instances and using them in Auto scaling launch configurations.

Launched Docker containers on EC2 instance.

Assist Asset Managers to monitor funding and payments in regulations with the Terraform Power Policy.

Created Python Scripts to Automate AWS services, include web servers, ELB, Cloud front Distribution, database, EC2 and database security groups, S3 bucket and application configuration, this Script creates stacks, single servers or joins web servers to stacks.

Used S3 for simple storage service, moved files and used Snowball service for as part of migration.

Used Kubernetes as a open source platform for automating deployment, scaling and operations of applications containers across clusters of hosts, providing container centric infrastructure.

Worked directly with the Azure Product team in tracking and resolving defects in the beta Azure IaaS offering.

Worked on Ansible, used YML packages for installing, configuring push to make changes in time.

In Ansible worked with playbooks, tasks, roles, facts and templates for VAR files also in Ansible configured files by conditions by keeping dynamic values and triggering YML files.

In Ansible worked on setting up SSH with YML configurations, choosing packages, specifying tasks.

Creating GIT repositories and give access rights to authorized developers and worker on Artifactory.

Experience on several Docker components like Docker Engine, Hub, Machine, Compose and Registry.

Experience working within the AWS Big Data Ecosystem (S3, EMR, Kinesis, EC2, Glue, Athena, RDS, Redshift etc.

Experience in Setup DMS and monitor sync, check replication status, monitor logs, tasks, table statistics and DDL modification management.

Employer: Infosys

Client: Ralph Lauren– New York Nov 2016- Mar 2017

ASW Cloud Engineer

RDS Snapshot management and provision of RDS instance from Snapshots.

Database schema refreshment between different security zone databases and same security zone databases.

Setup DR using DMS and monitor sync, check replication status, monitor logs, tasks, table statistics and DDL modification management.

Redshift cluster creation and management, tuning Query performance, configuring tools like psql, sql work bench, schema and object creation and management and generating redshift DDL’s from oracle tables.

Design, deployed, managed and operating scalable, highly available, and fault tolerance systems on AWS

Performed configuration, deployment and support of cloud services including Amazon Web Services (AWS).

Configure and maintain Virtual Private Cloud (VPC), NAT instances and installing Elastic Load Balancer (ELB) to monitor public and private instances inside the VPC.

Auto scaling of Web Application instances based on Cloud watch alarms during sudden increase in network traffic.

Designed and manage Elastic Block Storage (ELB) and S3 buckets for data storage.

Expertise in AWS Identity and Access Management (IAM) components, including User, groups, roles, policies and password policies and provide the same to end user.

Implemented AWS High-Availability using AWS Elastic Load Balancing (ELB), this performed a balance across instances in multiple Availability Zones.

Hands on experience in diagnosing and troubleshooting various networking, hardware, Linux/Unix and Windows server issues, performing preventive maintenance.

Design AWS Cloud Formation templates to create custom sized VPC, Subnets, NAT to ensure successful deployment of Web Applications and database templates.

Designing and distribution of data across all the nodes and clusters on different Availability Zones in AWS Redshift.

Configured health checks for AWS Elastic Load Balancer and used sticky sessions to divert users, also based on traffic spikes, pre-warm ELB to avoid ELB down time.

Tested Disaster Recovery scenarios in cloud using AWS including Backup & restore.

Worked with DB teams to deploy RDS in Multiple Availability zones and configure & tested DB Failover scenarios by creating read replicas of primary DB, including testing of Read replicas to promote to Primary DB and configured backups of DB.

Configured an AWS Virtual Private Cloud (VPC) and Database Subnet Group for isolation of resources within the Amazon RDS Oracle DB cluster.

Creating snapshots and Amazon Machine Image (AMI) of the Instances for backups.

Employer: Tech Mahindra

Client:YTL Communication– Malaysia Feb 2014- Jul 2016

Cloud Engineer

Build expertise in Workflow for Amazon Web services including Security Groups, IAM, EC2, S3, ELB, EBS, Policy, VPC, and Cloud Formation.

Designing and deploying a multitude of applications utilizing almost all the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto scaling in AWS Cloud formation.

Migrating a production infrastructure into an Amazon Web Services utilizing AWS Cloud Formation, Code Deploy, EBS and Ops Works.

Build servers using AWS, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection and open stack to provision new machines for clients.

Implemented rapid-provisioning and life-cycle management for Ubuntu Linux using Amazon EC2, Chef, and custom Ruby/Bash script.

Installed Subversion, Apache Tomcat Application servers on Unix Servers.

Maintained the Tags, Branching and merging the code in the parallel development of two phases and applied the vendor patches to the Trunk and all branches in Subversion Repository.

Defined branching, labeling, and merge strategies for all applications in Git.