Nishna Reddy

PH No: 501-***-****

Email: adnfzi@r.postjobfree.com

DevOps/AWS Engineer

Summary:

Associated with IT industry for 5+ years working as Certified AWS Developer, Cloud/DevOps Engineer, Linux Administrator within Linux/Unix/Windows environments to provide solutions to the complex issues utilizing most of the resources such as Virtualization, Automation, Integration, deployments and configuration Management tools, involving different Infrastructures for Resource Provisioning, scalable infrastructure, high-available, load balanced with Configuring, Monitoring, Alerting, Disaster Recovery. Adopting DevOps Culture to automate the entire Software Development Life cycle and Implemented Continuous Integration, Delivery/Deployment pipelines with enterprise standard technologies.

Experience on complete software development life cycle (SDLC) management with software development models like Agile methodologies, Scrum Model.

Hand-on implementation knowledge with designing, developing, installation, configuration management, on-boarding, patching with business continuity and troubleshooting of Red hat Linux, Suse Linux, CentOS, Ubuntu, Fedora, and Windows Servers.

Driving the scenarios by taking ownership in Interacting with stakeholders, business, Department Architect, security teams, technical advisors for obtaining the desired outcomes

Designing, developing and deploying the reliable infrastructure with high availability, fault tolerant, scalable, load balanced, cost effective as per industry standard best practices using the resources like EC2, cloud formation, autoscaling, launch configuration/template, ALB, ELB, VPC, Subnets, IAM, SNS topics, SQS, Route53, CloudFront, CloudWatch, CloudTrail, Elastic Search, Direct connect, Systems manager, AMI’s, Lambda, S3 buckets, API Gateway, Kinesis, firehouse, Dynamo DB, RDS etc.

Experience in designing, developing, architecting complex custom solutions using CloudFormation templates for managing the resources in AWS with versioning and implementing automation by continuous integration and continuous deployments

Proficient in migrating existing AWS infrastructure to serverless architecture where feasible with AWS Lambda, kinesis streams, firehose, s3, DynamoDB and deployed via Terraform/AWS Cloud Formation by running it through the pipelines for archival/retrieval.

Experienced in branching, Merging, tagging, issue tracking, Code reviewing and maintaining the version across the environments using SCM tools like GIT, GitHub, Bitbucket, Subversion (SVN) and TFS on Linux and windows platforms.

Proficient in Orchestration and migration of Continuous Integration/Continuous Delivery processes using Cloud Formation and Terraform Templates and Containerized the infrastructure using Docker, which was setup in Vagrant, AWS and VPCs

Expertise in creating and maintaining blue/green environments using bamboo/Jenkins pipelines by using custom built plugins, for provisioning the resources with version control in the custom micro accounts with the region based as well.

Implementing experience in the container orchestration to drive all microservices builds out to the Docker registry and then deployed to Kubernetes by Creating Pods and managing using Kubernetes

Experience working on several Docker components like Docker Engine, Hub, Machine, Compose and Docker Registry and Configuring Docker containers for Branching purpose and deployed using Elastic Beanstalk

Experience with Docker, Docker swarm, Kubernetes, and clustering frameworks with Mesos providing the fine-grained resource allocations for pods across nodes in a cluster and making Kubernetes play nicely with other frameworks running on the same cluster resources

Proficient in developing Automation scripts in multiple languages as needed like python, shell, ansible scripts in performing automation to be as self-service jobs without manual intervention through CRON jobs and controlm jobs

Experience in building a load balanced stack using the application load balancer with the targeted group that’s made available in multiple availability zones with attaching the required security groups with akamai as front facing and as well doing all the health checks to the autoscaling instances.

Experience in load balancing using F5, ELB, Akamai etc. and monitoring System/Application Logs of server using Datadog, AppDynamics, SiteScope, Splunk, Nginx, Nagios, Kibana, Elastic Search, Log stash (ELK), to detect Production issues. Integrated PagerDuty, service now with monitoring and as alert management.

Knowledge of NGINX in using as a reverse proxy and load balancer to manage incoming traffic and distribute it to slower upstream servers – anything from legacy database servers to microservices

Automated the provisioning of Tomcat application, Apache web instances through ansible that are triggered using the user data/metadata configuration setup through the CloudFormation scripts in the bamboo pipeline to relevant LOB environments and blue/green deployments.

Managing On-Site OS, Applications, Services, Packages using chef as well AWS for EC2, S3, Route53 & ELB with chef cookbooks Also using AWS Lambda as microservices and API Gateways to achieve Scalability

Hands-on experience with Ansible scripts and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploy critical applications, Environment configuration Files, Users, Mount points, Packages across the classified inventory as needed.

Proficient in Chef Enterprise Hosted On-Premise, Installed Workstation, Bootstrapped Nodes, Wrote Recipes and Cookbooks and uploaded them to Chef-server

Used Ansible scripts to automate the Cassandra Tasks such as new installations/configurations and Basic Server Level Checks

Administered tasks like taking backups, expanding file system disk space, creating NFS mounts, TCP/IP, UDP, OSI Model, N tier Architecture, DNS, DHCP, NAS, NFS, SSH, HTTP and HTTPS

Technical Skills:

Operating Systems : UNIX, red hat Linux (RHEL), Ubuntu, Windows 98/NT/XP/Vista/7/8,

SCM Tool : Subversion, GIT, GitHub, Bitbucket.

Build Tool : Ant, Maven

CI/CD Tools : Jenkins, bamboo, CircleCI

Containerization : Docker, Kubernetes.

Configuration Management : Chef, Ansible.

Automation Tools : Ansible tower, Terraform

Scripting : Python, shell, JavaScript, bash, groovy

Bug tracker & Testing : JIRA, SonarQube, Junit, Test Flight.

Repositories : Nexus, Artifactory.

Languages/Utilities : Shell Script, ANT Script, Batch Script, Ruby, Perl, Node.js, C, Python, Java.

Databases : MS.SQL, MySQL, Oracle, DB2, mongo DB, PostgreSQL, DynamoDB

Monitoring and alerting tools : AppDynamics, Splunk, Dynatrace, Kibana, Logstash, ELK.

Cloud Technology : Open stack, AWS – AMI, Ec2, VPC, Subnets, Autoscaling, EBS, KMS, Systems manager, security groups, ALB, ELB, SNS,SQS, cloud watch, cloud trail, code commit, code deploy, DynamoDB, RDS, API Gateway, ECS, ECR.

Professional Experience:

Client: Comcast, Philadelphia. July 2019 - current

Role: AWS/DevOps Developer

Responsibilities:

In Infrastructure as code (IAC) team, was responsible for architecting, installing, building, configuring, integrating different tools with post-provisioning tools like terraform enterprise, Ansible Tower for LDAP, Ping Identity, CMDB, Inventory management, Avamar backup client, ServiceNow for change management.

Managed various IAAS/PAAS design groups & working toward designing, architecting, and implementing the product as per the business/security guidelines.

Implemented the Enterprise tools like ansible tower, terraform enterprise by coordinating with vendors from scratch and managed all the integrations with multiple enterprise tools by aligning to enterprise standards like security etc. for provisioning and post provisioning activities as part of automation.

VersionOne is used to track the user stories, backlogs, impediment, risks, and replicating the repeated stories as template in VersionOne

Defined and implemented the GitHub branching strategies, Git ignore, code reviewers, code approvers with respect to the environment by using the scripts like ansible scripts, python scripts

GitHub is used as a repository to store the ansible playbooks, scripts used in the automation, documents related to the ansible tower, playbook etc.

Implemented fully automated server build, management, monitoring and deployment solutions spanning multiple platforms, tools and technologies using the ansible scripts.

Implemented Splunk-Logging, SiteScope-Monitoring & alerting, Ping Identity for Authentication and LDAP for Authorization, Secret Storage Solutions using tools Vault, Ansible vault etc. to Ansible Tower platform.

Created AWS cloud formation templates to create organization AWS network from scratch with custom sized VPC, subnets, NAT gateways, internet gateways, Route tables, ACL’s EC2 instances, ELB's, security groups

Implemented tagging standards for proper identification and ownership of EC2 instances and other AWS resources like compute, storage, Cloud Front, cloud watch, Elastic beanstalk, RDS, Red shift, S3, EBS, Route53, SNS, SQS, Cloud Trail, IAM, Autoscaling groups to meet security audit and compliance requirements.

create and manage KMS keys to control the use of encryption across a wide range of AWS services and in applications working with load balancing and monitoring System/Application Logs of server using Datadog, Splunk, Nginx, Nagios, Kibana, ELK, Log stash to detect Production issues

Developed Cloud Formation Templates in YAML/ JSON format to build the AWS infrastructure with the paradigm of Infrastructure as a Code by using the command line tools like AWS CLI to control various AWS services through SHELL/BASH scripting running using the userdata /metadata.

Implemented a continuous integration and Continuous Delivery pipeline in enterprise cloud bees Jenkins for packaging packer machine images through Jenkins, GitHub, and using the RESTApi calls with the ansible tower.

Managed the admin jobs related to Ansible tower like installing/setting up the Development, Disaster Recovery and Production environments for performing the automation across the organization.

Defining, Designing and implementing the security model for role-based access control used in utilization of the Ansible tower platform to the clients across the organization and documented the ITAC.

Implemented Tower Jobs for performing automation with ansible tower resources like inventory, job templates, ansible vault, scheduling jobs etc.

Developed and Implemented python script integrated with vault to create/update the ansible tower resources like inventory, credential, teams, Ldap configuration, generating tokens used during on-boarding/integrating programmatically to the consumers to ansible tower via Browsable Rest API

Developed Ansible Playbooks in performing automation to add the server configuration index to the CMDB and establishing relationship to the apps via remedy, installing the Avamar backup agent on to the servers and adding the customized policy to the backup client and day to day tasks for users as part of self-service jobs

Integrated with different platforms like VMware/AWS with the ansible tower to make use of the inventory(hosts) for the consumption to consumers with grouping mechanism

Developed automation and deployment templates for relational and non-relational databases including postgres, MS-SQL, MySQL, Cassandra and MongoDB for different micro-services

Organized the workshops on Ansible tower in the organization to share the knowledge on consuming the ansible tower platform in performing automation

Automated applications and MySQL container deployment in Docker using Python and monitor them using Nagios.

Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test, deploy

Setup OpenShift platform from scratch in multiple environments as sandbox/UAT/Dev/ Prod on VMware ESXI servers. using ansible tower in building and rebuilding the environments by automation playbooks.

Supporting source to image and binary build for maven and gradle using Jenkins pipeline to deploy the microservices in the OpenShift using the docker hub.

Working with Microservices using Docker Containers, Kubernetes, OpenShift, deploying applications in multiple Public and Private clouds like VMWare, Amazon Web Services

Involved in PaaS with RedHat OpenShift Container Platform in Architecting, installing and configuring the platform using different tools and technologies

Environment: AWS, NoSQL, MS SQL, MySQL, Git, GitHub, Jenkins, ansible, ansible tower, VMware Workstation, Docker (Daemon), Kubernetes, Python, shell script, Cassandra, MongoDB, ELK, Logstash, Kibana, elastic search, Elastic cache, Rest API, Cloud Front, Cloud Watch, Cloud Trail, KMS OpenShift, Terraform, Cloud Formation, Nagios, Red Hat Linux, mpstat, vmstat, Iostat, netstat, nfsstat, Packer, VersionOne, Vagrant, Azure.

Client: Walmart, Bentonville. March 2017 –June 2019

Role: DevOps Engineer

Responsibilities:

Partnered with Business, Architecture, and Application teams to perform POCs and complete technical design for Infrastructure (CAAS/FAAS) solution for the organization

Partnered with teams operating across multiple countries for building the omni channel messaging platform and be operational without any disruptions with cost optimization

As Content As AService team was responsible in leading,building, designing, configuring the event-driven infrastructure based on serverless architecture based as Function as a service in AWS using the resources like lambda, kinesis streams, firehose, DynamoDB, guard duty, s3, API Gateway, Direct connect,SNS, CloudWatch, CloudFront, Route53, IAM,

As FAASwith event-driven operating model for making the calls in RESTApi pattern for reading, creating, deleting the data from the Siebel communications.

Using the lambda streamlining process for retrieving the data and archiving the data using for the communication channels.

Implemented the Omni-channel communication platform as a messaging platform by integrating across multiple channels like WhatsApp, line, emails, KIK etc.

Implementing a new tool from scratch for storing the content across the organization and dynamically pulling as needed through the omnichannel communication

Dynamically drag and drop as part of the api calls by tracking the metrics assigned for number of hits etc.

Used tools like JIRA for Bug tracking/created tickets, generated reports on different bugs and

Tickets

Using the GitHub across the enterprise using the organization feature through private repo and making use for the cost optimization.

Implemented a new CI/CD pipeline with application containerized deployment using container orchestration tools like ECS, ECR, Code commit, code build, code pipeline with the AWS environment.

provision the aws resources and integrate with the system and CI/CD setup using the GitHub, semaphore, Docker hub, and deploying to the Kubernetes cluster using the digital ocean through the deployconfig through the semaphore secrets.

using Terraform along with packer to create custom machine images and automation tools like Chef/Ansible to install software's after the infrastructure is provisioned

Automated the infrastructure using Terraform and making it auditable by storing all the infrastructure changes in a version control system like GIT

Developed terraform scripts for automating the infrastructure using AWS resources, github, Jenkins, Jfrog, for provisioning and for post provisioning software and services configuration are done via Ansible.

Implanted a continuous Delivery pipeline with Docker, semaphore, and GitHub. Whenever a new GitHub branch gets started, semaphore our continuous Integration server, automatically attempts to build a new Docker container from preconfigured webhooks and deployed in Docker hub and deployed to Kubernetes cluster in digital ocean using the semaphore by autoscaling and load balanced instances.

Worked with Docker container snapshots, attaching to a running container, managing containers, directory structures and removing Docker images

Worked with various Docker components like Docker Engine, Hub, Machine, Compose and Docker Registry

Developed scripts for deployment of customer environments into AWS using Bash, Python and created scripts which integrated with Amazon API to control instance operations for RESTApi calls

Environment: Terraform, Docker, Kubernetes, Git, GitHub, Jenkins, Semaphore, Digital Ocean, Jira, AWS lambda, kinesis streams, firehose, DynamoDB, guard duty, s3, API Gateway, Direct connect, SNS, CloudWatch, CloudFront, Route53, IAM, KMS, code commit, code deploy, code pipeline, ECR, ECS, Docker, Docker Hub, Kubernetes.

Client: Aroha Technologies, Hyderabad, India. May 2016 – Feb 2017

Role: AWS Devops Engineer

Responsibilities:

PROJECT1:

Taking ownership and driving the scenarios by interacting with stakeholders, gathering the business requirements, Architecting the cloud migration design

Partnered with enterprise architect, technical advisors, stakeholders, security architects for designing, architecting and implementing the production ready, Autoscalable, load balanced, highly available, fault tolerant AWS infrastructure.

Designed and documented the Architecture diagram, high level design diagrams, production readiness documentation, on-boarding documentation etc.

Used tools like JIRA for Bug tracking/created tickets, generated reports on different bugs and Tickets and as well used for CI/CD branch tracking for passed, failed builds, commits etc.

Developed the design architecture for the implementation, branching strategies for the bitbucket code repository, integrating the JIRA for tracking the branches of the repository and committing the code from GIT with JIRA ticket number.

Implemented Continuous Integration and Continuous Deployments using JIRA for build tracking, bitbucket for version tracking, bamboo for pipeline, JFROG for artifact storing and deploying to the relevant microenvironments aws account for creating/deleting/updating the infrastructure stack in a blue/green stacks.

Used AMI provided by vendor and baked the ami with custom patches using the packer for packaging by using the ci/cd pipeline to deploy in the specific region that to be used across the organization.

Encrypted the EBS volumes in-rest and in-transit using the specific KMS keys widely used across the organization for the relevant department for ebs volumes

Provisioned the aws infrastructure stack with aws resourcesEC2, cloud formation, autoscaling, launch configuration, ALB, VPC, Subnets, IAM, SNS topics, SQS, Route53, CloudFront, CloudWatch, akamai.

Provisioned application load balancer through cloud formation templates with multiple availability zones and target groups assigned to autoscaling groups.

Performed health checks from the application load balancer to the apache webserver provisioned as part of the autoscaling group launched in multiple availability zone.

Implemented the pipeline with parameters relevant to the blue/green zones W.R.T line of business and the different environments Dev, test, and prod aws accounts.

Associated LDAP protocol as part of the CloudFormation templates for authentication process and login to the instances using the centralized network authorization.

Created change records by collaborating with teams across the organizations like firewall, security for performing patches, upgrades, modifying tags associated with the provisioned resources.

Implemented Perl/SHELL/Bash/Python/ansible scriptsusing the userdata/metadata section of the AWS for performing the post-provisioning patches as part of the CloudFormation templates.

Developed wrapper script for adding the autoscaled web server instances with custom AMI to be added to the application server and serve the traffic flow as desired.

Implemented monitoring using the Splunk and performed a POC for using the adobe target with tagging mechanism to capture the metrics.

enabled the CloudWatch metrics and associated with the autoscaling policies and SITESCOPE/PAGERDUTY for the alert management in the event of the incident management.

Implemented the A/B experimentation across the client experiences based on the campaign assigned and allowing the traffic flow across the application and integrating with data analytics for capturing the metrics.

PROJECT2:

Implemented the Platform as aservice tool related to feedback survey management and tracking the metrics and performing data analytics to improvise the business functionality through the survey feedbacks.

As part of on boarding the tool to the organization worked with several teams for undergoing the security architecture review, advanced vulnerability testing, design implementation etc. by coordinating with the technical lead, security architect, project manager, vendor etc.

Organized the kick-off meetings, workshops, working sessions for to use different types of surveys as per the use case like always on survey, mouse over survey, invitation survey, button, embedded survey etc. that are classified as active and passive surveys.

As well implemented the automation for the behavior triggers, custom parameters for capturing cookies etc. through the switch property with the segregation depending on the departments across of the organization.

Documented the process diagrams, flow charts, on-boarding steps, known issues, feature requeststo stay updated with the clients across the organization.

Implemented the CI/CD process with adHoc releases for the angular webapp including the external libs related to the surveys, source code configurations to be packaged using the maven by including the dependencies versioning in the bitbucket, code testing through the SonarQube, JFROG repository for storing the artifacts and deploying in to the relevant environment CDN through the bamboo pipeline with Jira build tracking

Integrated ServiceNow for change management process as part of CI/CD for production elevations and continuing with the deployments only post approval from the business managers.

Streamlined the feedback survey flow to the production environment through the continuous integration and continuous deployments and that will be rendered internally and externally using the script tag functionality.

Integrated survey management tool with the data analytics platform for performing the data analytics, text analytics, impact, sentiment analysisfor tracking the metrics for the surveys by integrating with the survey management tool for analyzing the feedback provided by the end customers of the business organization.

Using the data analytics platform and working through many custom filters for classifying the feedback data using data analytics, text analytics, mathematical operations like NPS, average, count by viewing as themes for exploring across

Implemented event driven mechanism streamlined for the data ingestion process of the feedback data from vendor to the organization by using cloud technology AWS resources like S3 buckets, lambda, DynamoDB, Hadoop EMR(HIVE), Hue, Kinesis streams, CloudWatch, CloudTrail, firehose etc. and deployed to the database for performing the analytics operations like hive cluster querying by using DDL and DML for developing the existing business operations.

24/7 Supporting the clients for production elevations and production issues by identifying the root causethat might be associated with the tool itself or the functionalities.

Environment: AWS, EC2, s3, cloud formation, autoscaling, launch configuration, ALB, VPC, Subnets, IAM, SNS topics, SQS, Route53, CloudFront, CloudWatch, CloudTrail, MySQL, KMS, ansible, python, shell, Docker, lambda, Kinesis streams, firehose, hive, Bitbucket, bamboo, Hadoop EMR, HUE, SonarQube, Data analytics, SiteScope, PagerDuty, Splunk.

Education: Master’s in Computer and Information science in UALR(AR).

Bachelor’s in computer science and Engineering in JNTU.

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