Devops Engineer Solutions Architect

Krishna Chaitanya

Sr. DevOps Engineer

https://www.linkedin.com/in/krishna-chaitanya-reddy-b5469865/

Email: ********************@*****.*** Contact No:737-***-****

Over 10 + years of experience in Designing Build process, Software Development, Process Automation, Build and Deployment Automation, Release Management, Source Code repository, Environment management.

Profile Overview:

•Seasoned Cloud and DevOps Engineer with 10+ years of experience in designing, implementing, and managing highly available, scalable, and resilient cloud infrastructures.

•Expertise in AWS, Kubernetes, Docker, and CI/CD pipelines to streamline deployments and enhance operational efficiency. Specialize in migrating applications to the cloud, implementing service meshes like Istio, and architecting disaster recovery plans for mission-critical systems.

•Strong skills in Infrastructure as Code (IaC) using Terraform and Helm, as well as observability and Splunk for real-time system monitoring and troubleshooting.

•Skilled in collaborating with cross-functional teams to deliver innovative solutions for distributed systems, containerized environments, and hybrid cloud setups. Proven ability to enhance uptime, optimize workflows, and meet evolving technical and business demands with a focus on scalability and reliability. Work closely with quality engineering, product management, and team members to develop, test, and deploy high-quality software.

•Experienced in developing policies, standards, guidelines, governance, and related guidance for CI/CD operations and developers' work. Expertise in creating DevOps strategies in a mix environment of Linux servers (RHEL, Ubuntu, CentOS) and implementing a cloud strategy based on Amazon Web Services.

•Good understanding of principles and best practices of Software Configuration Management (SCM) in Agile, Scrum, and Waterfall methodologies. Hands-on experience managing Infrastructure as Code using Terraform and Cloud Custodian, as well as Python scripting for creating AWS Lambda functions. Worked on AWS EBS storage service along with AWS S3 for data migration tasks.

Certifications:

•Certified Kubernetes Administrator (CKA)

•AWS certified solution architect associate.

TECHNICAL SKILLS:

Version Control Tools : GIT, SVN.

Build Tools : Maven, ANT, Gradle

Continuous Integration : Jenkins, Bamboo

Repository Manager : NEXUS, Artifactory

Scripting : Shell, JavaScript, Python, Ruby, Groovy

Configuration Management: Chef, Ansible.

Web Tools : JSP, PHP, XML, Spring Boot.

Databases : MYSQL,NOSQL

Quality Management Tool : SONARQUBE

Application Servers : Apache Tomcat, WebLogic, WebSphere, Jboss.

Monitoring Tools : Splunk, Prometheus, Grafana.

Cloud Computing : AWS (EC2, ELB, ALB, DynamoDB, S3, CFT, RDS, IAM).

Operating systems : Windows, Linux

Linux Environment : Centos, Red hat, Ubuntu

Containerization Tool : Docker, Kubernetes, Terraform

Bug tracking tool : JIIRA, Confluence

PROFESSIONAL EXPERIENCE:

Client: Encova Insurance, Columbus OH August 2024 to Present

Role: Sr. DevOps Engineer.

Create and maintain fully automated CI/CD pipelines for code deployment using Jenkins.

Written groovy scripts to automate Jenkins Pipelines Actively manage, improve, and monitor cloud infrastructure on AWS, EC2, S3, and RDS, including backups, patches, and scaling.

Built and deployed Docker containers to break up monolithic app into micro services, improving developer workflow, increasing scalability, and optimizing speed.

Wrote Ansible Playbooks and modules to deploy, configure, and manage servers Automated build and deployment using Jenkins to reduce human error and speed up production processes.

Have documented daily workflows, deployments, handling applications in confluence and integrated confluence with JIRA and Bitbucket.

Written Jenkins pipeline to create docker image from application and then push to the Nexus Repository.

Utilized Cloud Watch to monitor resources such as EC2, CPU memory, Amazon RDS DB services, Dynamo DB tables, Elastic Block Store (EBS) volumes to set alarms for notification or automated actions; and to monitor logs for a better understanding and operation of the system.

Created S3 buckets and managing policies for S3 buckets and Utilized S3 bucket for storage and backup on AWS. Extensive knowledge in migrating applications from internal data center to AWS.

Created Issues and structures using JIRA for creation of TAG based deployments.

Configured OKTA verify for security verification of applications on AWS cloud Experience in building automated CI and Cd pipeline with AWS Code Pipeline, Jenkins and AWS Code Deploy. Designed and implemented fully automated server build, management, monitoring and deployment solutions spanning multiple platforms, tools and technologies including Jenkins Nodes/Agent, Ansible, Kubernetes, Docker, Amazon EC2

Created Issues and structures using JIRA for creation of TAG based deployments

Configured OKTA verify for security verification of applications on AWS cloud Experience in building automated CI and Cd pipeline with AWS Code Pipeline, Jenkins and AWS Code Deploy.

Managed Kubernetes charts using Helm. Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and Managed releases of Helm packages.

Used CI/CD tools Jenkins, Git, Jira and Docker registry/daemon for configuration management and automation using Ansible.

Environment: Jenkins, Docker, AWS, EKS, EC2, Docker, Kubernetes, GitHub, SVN, Ansible, Grafana, Maven, Gradle, JIRA, Confluence.

Client: PDI Technologies, Dallas, TX Sept 2021 to June 2024

Role: DevOps Engineer.

Responsibilities:

•Develop and Automated Continuous Integration/Continuous Deployment (CI/CD) pipelines using tools like Jenkins, integrating GitHub for seamless deployment processes.

•Managed AWS EKS clusters hosting Jenkins servers, along with other critical services like SonarQube. Utilized Helm and Terraform for efficient deployment, cluster upgrades, and automation improvements, ensuring high availability, performance, and security of the CI/CD environment.

•Configured Jenkins pipelines to automate build, test, and deployment stages, improving CI/CD workflows and reducing deployment time.

•Created additional Docker Slave Nodes for Jenkins, using custom Docker Images and pulled them to ECR and monitored using Prometheus

•Containerized applications using Docker and integrated them into CI/CD pipelines, enabling consistent development, testing, and production environments.

•Terraform scripts to automate provisioning and management of cloud infrastructure on platforms such as AWS.

•Used Terraforms backend configurations to store and retrieve infrastructure state files securely, facilitating collaboration and reducing risks of state corruption.

•Deployed and managed serverless applications on AWS API Gateway and Lambda for low-cost, scalable application architecture.

•Improved data management and security procedures by using Terraform to configure and automate S3 bucket policies, versioning, and lifecycle rules.

•Set up automated monitoring and observability tools like Grafana to ensure proactive infrastructure and application performance tracking.

•Implemented TLS for secure service communication, enabling authentication and encryption between microservices within the service mesh.

•Implemented a 'server less' architecture using API Gateway, Lambda, and Dynamo DB and deployed AWS Lambda code from Amazon S3 buckets.

Environment: GitHub, Jenkins, Kubernetes, Ansible, Docker, Helm, Ubuntu, Red Hat, Jira, Service Now, Autoscaling.

Client: Hyla, Farmer’s Branch, TX. Apr 2019 to Aug 2021

Role: DevOps Engineer

Responsibilities:

Designed and implemented robust, automated CI/CD pipelines using Jenkins for continuous integration, testing, and deployment across multiple environments (development, staging, production).

Created Jenkins CICD pipelines for continuous build & deployment and integrated Junit and SonarQube plugins in Jenkins for automated testing and for Code quality check.

Create and maintain fully automated CI/CD pipelines for code deployment using Jenkins tool.

Audited manually deployed AWS services and transitioned them to infrastructure as code using Terraform, making them easier to maintain, repeatable, and aligned with best practices.

Enabled advanced deployment strategies such as blue-green and canary deployments for EKS-based applications using Helm and Azure DevOps to minimize downtime and risk during releases.

Terraform configurations were maintained and optimized while implementing best practices such using AWS Secrets Manager for safe secret management and remote state storage in S3.

Experienced in integrating Ansible into CI/CD pipelines with tools like Jenkins to streamline deployment processes.

Designed and implemented fully automated server build, management, monitoring and deployment solutions spanning multiple platforms, tools and technologies including Jenkins Nodes/Agent, Ansible, Kubernetes, Docker, Amazon EC2.

Installed/ Configured and Managed Jfrog Artifactory Repository Manager and all the Repositories.

Managed Kubernetes charts using Helm, and Created reproducible builds of the Kubernetes applications, managed Kubernetes deployment and service les and managed releases of Helm packages.

Automated the provisioning of Kubernetes resources (nodes, services, pods) in cloud environments using Terraform, Helm provider, integrating with CI/CD pipelines for Kubernetes workloads.

Created a Lambda Deployment function and configured it to receive events from your S3 bucket.

Experience in using JFROG Artifactory Repository Managers for builds and storing of Docker images.

Deployed application which is containerized using Docker onto a Kubernetes cluster which is managed by Amazon Elastic Container Service for Kubernetes.

Worked heavily with AWS and its infrastructure, including EC2, AMI, ECS, Elasticsearch, RDS, VPC implementation, IAM, KMS, WAF, CloudTrail, CloudWatch, S3, CloudFront, AWS CLI scripting, ELB, Route 53, Lambda, DynamoDB,, SQS, SNS and Security group management.

Utilized Cloud Watch to monitor resources such as EC2, CPU memory, Amazon RDS DB services, Dynamo DB tables, Elastic Block Store (EBS) volumes to set alarms for notification or automated actions; and to monitor logs for a better understanding and operation of the system.

Created S3 buckets and managing policies for S3 buckets and Utilized S3 bucket for storage and backup on AWS. Extensive knowledge in migrating applications from internal data center to AWS.

Environment: AWS EC2, AWS S3, RDS, ELB, Security groups, Firewalls, GIT, Ansible, Ansible-Tower, GitLab, Cloud Front, Route53, Terraform, Kubernetes, Jfrog.

Client: KPMG, San Francisco, CA. May 2017 to Feb 2019

Role: DevOps Engineer

Roles & Responsibilities:

Setup Docker Swarm and Kubernetes cluster for Docker Container Management

Experience with tools relating to software development and version control systems like GIT.

Proficient in cloud-based infrastructure and services like AWS, they utilize Terraform in conjunction with other DevOps tools for CI/CD

Created and Configured the CI/CD pipeline for deploying Micro-Services and Lambda functions using Jenkins.

Implementing, and maintaining EC2 servers and S3 buckets and monitoring them using AWS CloudWatch.

Written Ansible playbook & modules for Ansible customizations.

Manage the configurations of nodes using Ansible, configured Jenkins builds for continuous integration and delivery.

Developed continuous integration strategy using Jenkins’s build servers and Jenkins CI/CD.

Created external tables with partitions using Hive, AWS Athena Deployed AWS Lambda code from Amazon S3 buckets.

Managed AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing, Lambda, S3, and Glacier for our QA and UAT environments as well as infrastructure.

Experience in branching, tagging, and maintaining the versions across the environments using SCM tools like Subversion (SVN) and GIT on Linux and Windows environments.

Enabling customers to better manage software development, deployments, and infrastructure with tools such as Ansible, Jenkins, and GitHub.

Enabled end-to-end CI/CD pipeline for Java-based applications using Jenkins, and Artifactory and integrated with different tools like SonarQube.

Environment: Amazon Web Services (AWS), IAM, S3, ELB, RDS, Security Groups, Cloud Watch, Git, GitHub, Docker, Kubernetes, Terraform, Jenkins, CI/CD pipelines, shell.

Client: Encore, Hyderabad, India July 2014 to April 2017

Role: DevOps Engineer

Responsibilities:

Implementing new projects builds framework using Jenkins & maven as build framework tools.

Migrating Java applications from on-premises cloud service to AWS cloud services and ensuring that the applications are fully operationalized in cloud, including application database.

Develop and implement new deployment strategies for Prometheus.

Configured and Monitored Prometheus and Grafana Monitoring application services using Prometheus and Grafana for Kubernetes clusters, also created alerts based on nodes, pods, containers and services.

Creating Docker images for micro-services to work in AWS ECS and configuring Application Load Balancer and Auto Scaling Groups for high availability of application in cloud.

Improve speed and scalability of the continuous integration environment, automating wherever possible using Python, Shell and PowerShell Scripts.

Created a Lambda Deployment function and configured it to receive events from your S3 bucket.

Continuous Integration and Continuous Deployment (CI/CD) of the Applications into Azure Cloud.

Setting up continuous integration and formal builds using Bamboo with Ivy or Bamboo with Maven Nexus repository.

Resolved update, merge and password authentication issues in Bamboo and Jira.Installed and configured Confluence as the enterprise wiki to document development and change

management procedures.

Work closely with development teams to optimize workflow processes.

Developing automated process for builds and deployments using Jenkins, Ant, Maven, Sona type Nexus, Shell, Python and Java.

Environment: GitHub, AWS, Jenkins, Kubernetes, Ansible, Docker, Helm, Ubuntu, Red Hat, Jira, Ansible, Java, ServiceNow.

Education:

•Masters in VLSI design from Manipal University (2014)

•Bachelor’s degree from JNT University (2007 – 2011)

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