Solutions Architect Information Systems

BHANU TEJA INTURI

Professional Summary

With 8 years of IT experience, including 5 years in cloud automation on AWS and Azure and 2 years in system administration, I specialize in DevOps automation using Jenkins, Git, Ansible, Docker, Kubernetes, and Terraform. I’ve developed CI/CD pipelines for Docker image creation and Kubernetes deployments. My expertise includes managing Kubernetes clusters with Helm charts, RBAC, and resource allocation, and deploying scalable applications using AWS services like EC2, S3, RDS, and CloudWatch. Azure services like Virtual Machines (VMs), Blob Storage, SQL Database, and Azure Monitor.

I’ve implemented DevOps pipelines, developed Ansible playbooks for provisioning and configuration, and configured Kafka, Prometheus, and Grafana for application monitoring. Experienced in Splunk for log analysis and Agile methodologies, I deliver efficient, automated solutions for modern cloud environments.

Education

•Bachelor of Technology in Electronic and Communication Engineering from JNTUK UNIVERSITY -2017

•Master’s in computer and information systems from Christian Brothers University – 2023

Certifications

•AWS Certified Solutions Architect Associate.

•Terraform Associate.

•CKA Certified Kubernetes Administrator.

Skills

SDLC Methodologies

Waterfall, Agile/Scrum

Operating Systems

Windows 11/10/2003/2008/2012, RHEL/CentOS, Ubuntu, Solaris, AIX, HP-UX

Cloud/IaaS/SaaS/PaaS

Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, VMware.

SCM, Build, CI/CD Tools

Git, SVN, Ant, Maven, Gradle, Jenkins, Bamboo, TeamCity, Harness

Monitoring & Alert Tools

Datadog, PagerDuty, Prometheus, Grafana, Splunk, Nagios and ELK.

Containerization/ Orchestration

Docker, Kubernetes, EKS, AKS, OpenShift and Vagrant

Database Servers

Teradata, Oracle, MS SQL Server, and MySQL.

Ticketing Tools

Atlassian JIRA, Redmine, Confluence, and ServiceNow.

Scripting Languages

PowerShell, Shell, Groovy, Python, and SQL

Web Servers

Apache Tomcat, Apache HTTP Server, Nginx, and IIS

Infrastructure as Code

Terraform, Ansible, Vagrant and Docker

•ServiceNow Development, Maintenance, and Administration

•Certified ServiceNow System Administrator

•CSM, ITSM, ITOM, ITBM, Asset Management, Cloud Management

•Integration with SolarWinds, Datadog, SLACK, Azure, Jira, AWS

•Discovery, Orchestration, CMDB, and Asset Management

•Service Portal Development using HTML, CSS, JavaScript, Angular JS, Bootstrap

•TECHNICAL SKILLS

•ITSM Tools: ServiceNow

•Programming Languages: C, HTML, XML, JavaScript, Angular JS, SQL, CSS, and Bootstrap

•OS: Windows - 2008, 2003, 2000, XP, Win 7; UNIX - Linux, Solaris

•Databases: SQL Server, MySQL, Oracle 10G, MS Access

•Web Technologies: AJAX, JSP

•Software Methodologies: SDLC, Waterfall, Agile, XP, Scrum

•ERP: Knowledge of SAP – MM, SAP Lumera

•EDUCATIONAL QUALIFICATION

•Master's in Computer Information Systems, Bellevue University

•CERTIFICATIONS

•ServiceNow Certified System Administrator (Paris)

•Integrated Development Environments

•Client-Side Scripting

•Evaluate User Requirements

•Product and Service Software Development

Work History

Responsibilities:

•Designed and configured AWS services EC2, S3, ELB, ECS, RDS, VPC, Route53, CloudWatch, Lambda, and

IAM.

•Set up secure VPC environments with public/private subnets, NACLs, route tables, and security groups for

traffic control.

•Automated infrastructure deployments with Terraform for AWS resources like EC2, VPC, ELB, and IAM.

•Deployed Kubernetes clusters using Terraform scripts and AWS EKS for containerized applications.

•Configured Docker containers, built serverless computer engines with AWS Fargate, and managed repositories in ECR.

•Used CloudWatch for event monitoring and SNS for alert notifications. Created Lambda jobs to integrate CloudWatch logs into ELK.

•Managed application rollouts using Kubernetes rolling updates and tweaked pod definitions for deployment.

•Created automation pipelines in AWS Code Pipeline for Dockerized applications using CloudFormation, Code Build, and Code Deploy.

•Work with product and development teams to understand business requirements for the Java application and define

technical specifications.

•Develop a simple Java application using SpringBoot to create RESTful web services with CRUD operations connected to a database (e.g., MySQL or PostgreSQL).

•Dockerized the Java application by creating a Dockerfile and pushing the container image to Amazon ECR.

•Set up an EKS cluster using Terraform to manage Kubernetes workloads and deploy Helm charts for common services like Ingress, Prometheus, and Grafana.

•Set up Jenkins pipelines for continuous integration (build and test) and continuous delivery (deploy to Kubernetes), integrating with GitHub for source code management. Configure automated testing for the Java application during the CI phase in Jenkins.

•Implement GitOps with Argo CD to synchronize Kubernetes manifests from GitHub to the EKS cluster during the deployment phase.

•Build a pipeline that pulls code from GitHub, builds the Java application using Maven/Gradle, and runs unit and integration tests.

•Use Helm charts to deploy the Dockerized Java application to EKS, integrating with Argo CD for automatic synchronization.

•Configure Kubernetes Horizontal Pod Auto scaler (HPA) to scale the application based on CPU or memory usage and set up AWS Auto Scaling for EKS worker nodes.

•Integrate Prometheus to monitor application metrics (e.g., response time, error rate) and set up Grafana dashboards to

visualize performance.

•Set up Fluentd or Logstash to collect logs and store them in Elasticsearch, with Kibana for log visualization and troubleshooting.

•Automate infrastructure provisioning with Terraform scripts for all AWS resources (VPC, subnets, EKS, ECR). Write

Ansible or shell scripts to manage AWS credentials and Kubernetes configurations.

•Implement on-call rotation within the DevOps team for 24/7 application and CI/CD pipeline support.

•Set up AWS CloudWatch alarms for critical pipeline or application failures and integrate them with monitoring/logging tools.

•Test the CI/CD pipeline, ensuring successful builds and deployments, and troubleshoot any issues. Test the Kubernetes deployment with load-testing tools like Apache JMeter for performance validation.

Role: Cloud Platform Engineer

Responsibilities:

•Migrated enterprise applications to AWS with zero downtime using ELB, Auto Scaling, and Multi-AZ architecture for high availability.

•Designed cost-efficient serverless solutions with AWS Lambda and automated resource provisioning with

Terraform.

•Configured CI/CD pipelines using Jenkins, GitHub Actions, and Kubernetes for streamlined deployments.

•Managed AWS EKS clusters for scalable workloads and optimized performance for up to 10,000 users.

•Secured AWS environments with IAM roles, VPC configurations, and AWS Shield for enhanced security.

•Developed microservices with Spring Boot, AWS SQS, and Kafka for real-time data processing.

•Implemented Infrastructure as Code (IaC) with reusable Terraform modules for collaborative deployments.

•Built real-time data pipelines with AWS Glue and Kinesis for scalable analytics. Reduced cloud costs by 25% using

AWS Cost Explorer and Budgets to optimize resource usage.

•Integrated DevSecOps tools like SonarQube, AWS Inspector, and Aqua Security into CI/CD pipelines. Automated operational tasks with AWS Lambda, Systems Manager, and Ansible, reducing manual intervention.

•Configured monitoring solutions with Datadog, Splunk, and CloudWatch, creating custom dashboards and

alerts.

•Mentored junior engineers on cloud architecture, microservices, and DevOps best practices.

•Streamlined Node.js microservices for resilience and fault tolerance in high-demand environments. Enhanced testing workflows for Node.js applications, enabling rapid and error-free releases.

•Automated monitoring configurations using New Relic APIs and Terraform for consistent deployments.

Role: DevOps Engineer Responsibilities:

•Experienced in Azure Development, working on web applications, App Services, Azure Storage, Azure SQL Database, Virtual Machines, Azure AD, and Notification Hub.

•Deployed Infrastructure as Code using ARM Templates via Azure Portal and PowerShell to Automated Azure VM provisioning and managed Azure Blob Storage, file blobs, and disks. Integrated and troubleshooted on- premises AD sync with Azure AD.

•Utilized Kubernetes for containerized application deployment, and scaling and developed microservices in

Golang.

•Built CI/CD pipelines using Cloud Bees, Docker, and Kubernetes, leveraging Helm charts for deployments.

•Implemented secure Docker deployments by integrating image vulnerability scanning into CI/CD pipelines.

•Designed scalable containerized solutions with Kubernetes, Docker, and Helm, improving deployment efficiency.

•Automated infrastructure provisioning using Terraform and modular practices.

•Managed CI/CD pipelines with tools like Jenkins, and Azure DevOps, and integrated SonarQube for code quality.

•Developed custom Kubernetes operators and CRDs for seamless system integration. Migrated legacy applications to

containerized architectures, reducing downtime and operational costs.

•Deployed and maintained observability tools such as Prometheus, Grafana, and ELK for real-time monitoring.

•Automated workflows using Python, Bash, and PowerShell to streamline operations.

•Configured artifact repositories like Artifactory and Nexus for efficient dependency management. Ensured cloud-native security with RBAC, pod security policies, and image scanning. Designed disaster recovery and backup strategies to ensure system reliability.

•Collaborated on compliance frameworks to meet industry standards and regulations. Delivered training on CI/CD, Kubernetes, and DevOps best practices to cross-functional teams.

•Configured Istio for mutual TLS, traffic policies, and fine-grained access control between microservices.

•Enhanced AKS observability with Prometheus, Grafana, and Fluent integrated with Istio telemetry.

•Migrated legacy workloads to AKS, improving scalability and reducing costs. Optimized AKS clusters with auto-scaling

and workload resource quotas. Mentored teams on AKS, Terraform, Istio, and Azure security best practices.

•Administered JIRA and Bamboo, using Ansible for deployment automation and infrastructure management.

•Automated Angular and React.js builds and tests, integrating Node.js and Docker for production deployments.

•Managed system monitoring with Datadog, Tomcat servers, and MySQL databases, and provided end-user IT support.

•Created custom Dynatrace extensions to monitor third-party applications for expanded observability.

Responsibilities:

•Configured Red Hat Kickstart for automating server installations and managed Debian, Red Hat, CentOS,

and SUSE servers across multiple data centers.

•Installed and managed Puppet for system automation, writing custom modules and upgrading Puppet Community and Enterprise versions.

•Migrated consumer data between production servers using Bash and Perl scripts.

•Installed and configured Nagios for network and disk monitoring, and automated Java application deployment on Linux servers using Python and Puppet.

•Managed version control with GitHub and CI/CD pipelines with Jenkins, troubleshooting build issues and

server crashes.

•Deployed and monitored scalable infrastructure on AWS, managing configurations using Puppet.

•Configured password-less authentication with FUSE and managed DHCP, DNS, LDAP, NFS, and Send mail services.

•Monitored performance using Sar, iOS tat, and Munin, and managed LVM-based disk configurations.

•Installed and configured PostgreSQL databases, Apache Web Server with SSL, and automated tasks using

shell and Python scripts.

•Maintained FTP servers, monitored infrastructure using Nagios, Cacti, Zabbix, and OSSEC, and supported

server builds, patching, and performance tuning.

•Administered VERITAS Volume Manager, Clustering, and VMware environments, managing over 1,800 VMs

across three data centers.

•Configured and supported VMware vSphere networking, storage, and VCenter Operations Manager.

•Developed Python scripts for building automation, and Django web applications, and integrated Amazon API

for instance operations.

•Deployed and maintained Red Hat Enterprise Linux 6.x/7.x and CentOS servers, including package installations and patch management.

+1-972-***-**** *************@*****.*** Linkedin: https://www.linkedin.com/in/bhanu-chowdary- a5478021b/

Client: KPMG, Grand Rapids, MI NOV2021 - JAN2023

Client: Verizon, Gundi Chennai, India. MAY2019-AUG-2021

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