DevOps Automation Engineer Cloud & Kubernetes Expert

BHANU TEJA INTURI

848-***-**** *************@*****.***

PROFESSIONAL SUMMARY

With 9+ years of IT experience, including 6 years in cloud automation on AWS and Azure and 3 years in system administration, I specialize in DevOps automation using Jenkins, GitHub, GitLab CI/CD, 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. Deploying scalable applications using AWS services like EC2, S3, RDS, and CloudWatch, as well as 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

Master’s in computer and information systems from Christian Brothers University CERTIFICATIONS

AWS Certified Solutions Architect Associate.

Terraform Associate.

CKA CERTIFIED KUBERNETES ADMINISTRATOR.

TECHNICAL 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, Gitlab, GitHub actions, 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 PROFESSIONAL EXPERIENCE

Client: Meijer, Grand Rapids, MI FEB2023– Ongoing

Role: DevOps Engineer/ Cloud Engineer

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 computing 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 adjusted pod definitions for deployment.

Created automation pipelines in AWS CodePipeline for Dockerized applications using CloudFormation, CodeBuild, and CodeDeploy.

Worked with product and development teams to understand business requirements for the Java application and defined technical specifications.

Developed a Java application using Spring Boot to create RESTful web services with CRUD operations connected to a database (e.g., MySQL or PostgreSQL).

Dockerized the Java application by creating a Docker file and pushing the container image to Amazon ECR.

Set up an EKS cluster using Terraform to manage Kubernetes workloads and deploy Helm charts for standard 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. Configured automated testing for the Java application during the CI phase in Jenkins.

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

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

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

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

Integrated 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.

Automated infrastructure provisioning with Terraform scripts for all AWS resources (VPC, subnets, EKS, ECR). Wrote Ansible or shell scripts to manage AWS credentials and Kubernetes configurations.

Designed, deployed, and maintained highly available data store solutions using Cassandra, Oracle, and MongoDB, ensuring performance, scalability, and fault tolerance across distributed systems.

Automated database provisioning, configuration, and scaling using Terraform and integrated into CI/CD pipelines with Jenkins, enabling faster and more consistent deployments.

Implemented backup and disaster recovery strategies for mission-critical databases, minimizing RTO and RPO in enterprise- grade systems.

Conducted capacity planning, performance tuning, and optimization for large-scale NoSQL and RDBMS environments, improving query latency and resource utilization.

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

Tested the CI/CD pipeline, ensuring successful builds and deployments, and troubleshooting any issues. Tested the Kubernetes deployment with load-testing tools like Apache JMeter for performance validation Client: KPMG, Grand Rapids, MI NOV2021 - JAN2023

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. Client: Verizon, Gundi Chennai, India. MAY2019-AUG-2021 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 automate 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, 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. Client: DSquared, Hyderabad, India: AUG 2016 -MAY 2019 Role: Linux Admin

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 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.

KEY ACHIEVEMENTS

Reduced deployment time by 40% through CI/CD automation.

Optimized AWS costs by 25% via resource monitoring and auto-scaling.

Enhanced Kubernetes security by implementing RBAC and pod security policies.

Migrated monolithic applications to microservices, improving scalability and resilience.

Established GitOps practices with Argo CD, enabling automated Kubernetes deployments.

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