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Click here or scroll down to respond to this candidateCandidate's Name
Cell: PHONE NUMBER AVAILABLEEmail: EMAIL AVAILABLEAWS DevOps EngineerSUMMARY:Proven 5-year track record as a DevOps Engineer, specialized in Kubernetes,Docker, and CI/CD pipelines to orchestrate and automate large-scaledeployments. Expertise in designing, implementing, and refiningcontainerized applications. Adept at devising innovative solutions tocomplex challenges across development and operational environments.. Experience in Amazon AWS Cloud which includes services: EC2, VPC, ECS,EKS, CodeBuild, CodeDeploy, CodePipeline, Route 53, S3, RDS, Dynamo DB,IAM, Cloud Formation, Cloud Watch, ELB, EBS, ECR, Lambda, SNS, SES, SQS,Cloud Formation, AWS Secrets Manager, DynamoDB.. Strong experience in the various stages of the CI/CD software developmentpipeline, including Commit Build, Automated Testing, and Deploymentacross multiple environments such as Development, QA, Pre-Production, andProduction.. Expertly utilized Git for version control in complex, multi-developerenvironments, ensuring efficient code collaboration and management acrossdiverse teams and projects.. Reduced deployment time and minimized human error in the release processby successfully designing and implementing an automated deploymentpipeline with tools like Jenkins and GitLab CI/CD.. Successfully deployed and managed Argo CD to streamline the continuousdelivery process using GitOps principles.. Experience on various Cloud Environments and migrated data from on-premises to AWS Cloud Environment.. Extensive experience on working with the Configuration/Deployment Toolslike ANSIBLE. Experience working with Chef Enterprise and Chef Open Source, Chef DK,Chef Workstation, Chef Server, Chef- Client.. Experience in Container management using Docker by writing Docker filesand building Docker Images.. Extensive experience with Python 3, including scripting, automation, andapplication development.. Experience in Designing and implementing Kubernetes clusters for scalableapplication deployment, Automated the deployment process using Helmcharts and custom Kubernetes operators.. Proficient with FastAPI, Flask, Django for web development; experiencewith libraries such as Pandas, NumPy, and Requests for data manipulationand API interactions.. Skilled in writing Python scripts for automation of tasks, CI/CDpipelines, and infrastructure management.. Managed and maintained Linux servers, including installation,configuration, and troubleshooting, ensuring high availability andoptimal performance for mission-critical applications.. Integrated Maven with CI/CD pipelines to automate the build, test, anddeployment processes, ensuring continuous integration and delivery.. Created start to end infrastructure using Terraform and made use ofdifferent modules for the resource creation in AWS environment andcreated 3-tierArchitecture using Terraform.. Expertise in automating day-to-day administration tasks by developingscripts in various languages including Bash, PowerShell, Groovy andPython.EDUCATION:. B. Com from Acharya Nagarjuna University, Guntur, India.. Master's from Stevens Institute of Technology, Hoboken, New Jersey.CERTIFICATIONS:. AWS Certified Cloud Practitioner.PROFESSIONAL EXPERIENCE:Client: Morgan Stanley - New York, NY (Hybrid)From Dec 2023- Till dateRole: AWS DevOps EngineerResponsibilities:. Implementing an Infrastructure as code strategy to environment buildsusing Terraform & Cloud formation.. Integrating Jenkins with various DevOps tools such as SonarQube, Tomcat,Maven, Ansible, Docker and deployed applications on Kubernetes containerenvironment,. Utilizing Kubernetes and Docker for the runtime environment for the CI/CDsystem to build, test and deploy.. Leveraging AWS cloud services such as EC2, auto-scaling and VPC to buildsecure, highly scalable and flexible systems that handle expected andunexpected load bursts.. Working with Terraform to create stacks in AWS from scratch and updatedthe terraform as per the organization's requirement on a regular basis.. Developed and maintained automation scripts using Python for streamliningCI/CD pipelines, reducing deployment time.. Utilized Python frameworks such as FastAPI and Flask to build and deployRESTful APIs, enhancing backend services for web applications.. Created data processing scripts with Pandas and NumPy to automate dataextraction, transformation, and loading (ETL) tasks.. Utilized Groovy for scripting and automation in build processes,significantly reducing manual intervention and errors.. Integrated Groovy in Gradle build scripts, streamlining the build anddeployment pipeline for Java applications.. Migrating Microservices based applications using Docker, Kubernetes andinvolved in full automation of the CI/CD pipeline.. Integrated Docker container orchestration framework using Kubernetes bycreating pods, config maps and deployments by using writing YAMLtemplates.. Created K8s Clusters using Helm Charts, helming packages and working oncreation of multiple pods, replicating controllers, replica sets,services, deployments, labels, health checks, and ingress/egress bywriting YAML files.. Deployed Istio to enhance microservices architecture, achieving improvedtraffic management, security, and observability.. Leveraged Istio's traffic routing and policy enforcement features toensure efficient and compliant microservice communication.. Successfully deployed and managed Prometheus for monitoring and alertingin large-scale environments using AWS EC2, EKS, and ECS, ensuring highavailability and scalability.. Integrated Prometheus with AWS CloudWatch to extend monitoringcapabilities, enabling seamless collection and analysis of metrics fromAWS resources.. Integrated Grafana with various data sources including Prometheus, AWSCloudWatch, and custom databases, providing unified and actionableinsights into system performance and health.. Converting existing AWS infrastructure to Serverless architecture (AWSLambda) deployed via Terraform and AWS Cloud Formation.Environment: AWS Services, GIT, GitHub, SonarQube, Tomcat, Maven, Jenkins,Ansible, Docker, Kubernetes, Argo CD, Prometheus, Grafana, Python & YAMLScripting.Client: First Interstate BancSystem - Billings, MT (REMOTE)From Sep 2022- Nov 2023Role: AWS DevOps EngineerResponsibilities:. Developed and maintained custom Maven plugins to extend buildfunctionalities, integrate with other tools, and automate complex buildtasks.. Created load balancers (ELB) and used Route53 with failover and latencyoptions for high availability and fault tolerance.. Used AWS for importing volumes, propelling EC2, configure securitygroups, Autoscaling and stack balancers in the characterized virtualprivate connection.. Utilized infrastructure-as-code tools like AWSCloudFormation and Terraform to automate and manage AWS infrastructuredeployment process.. Designed AWS CloudFormation templates to create custom sized VPC,Kubernetes, subnets, NAT to ensure successful deployment of Webapplications and database templates.. Enhanced deployment efficiency by automating CI/CD pipelines with AWSCodePipeline, significantly reducing deployment times and improvingrelease cycles.. Deployed web applications using Ansible by developing the Playbook tomeet the project requirements.. Successfully built the project by fetching the code from GIT repo andbuilt a war file by integrating with Maven and deploying the Artifactto Tomcat.. Integrated SonarQube with CI/CD pipelines to automate code analysis,providing real-time feedback to developers and maintaining high codequality standards.. Implemented OAuth 2.0 authentication in Python applications to ensuresecure access and compliance with security standards.. Designed and executed unit tests using pytest, improving code quality andreliability by identifying and resolving bugs early in the developmentcycle.. Developed monitoring scripts in Python to integrate with Splunk andDataDog, facilitating real-time log analysis and application performancemonitoring.. Maintained microservices using Kubernetes as front-end orchestrator forDocker containers and worked on installation of Kubernetes Cluster on AWS(EKS) to test different features, handled proxy requests and createdKubernetes cluster.. Implemented Jenkins as a full cycle continuous delivery tool involvingpackage creation, distribution and deployment onto Tomcat applicationservers via shell scripts embedded into Jenkins jobs.. Developed automated solutions for scraping and collecting metrics usingPrometheus and configured alerting mechanisms to proactively identify andresolve performance and reliability issues.. Created comprehensive and interactive dashboards in Grafana for real-timevisualization of key metrics and KPIs, enhancing monitoring and decision-making processes.. Monitored AWS cloud resources and the applications that deployed on AWSby creating new alarm, enable notification service using CloudWatch.Environment: Amazon Web Services, Python, Groovy, Shell Scripting, Ansible,Docker, Kubernetes, Terraform, Jenkins, GIT, Maven, Nexus, SonarQube,Tomcat Server, Prometheus, Grafana, Linux.Company: WALKING TREE TECHNOLOGIES PVT LTD - Full time (Hyderabad, India).From June 2019- July 2022Role: DevOps EngineerProject: Inspicio - The project is used to collect the personal informationof a customer via secured portal when he calls customer care and wants toopen an account with Verizon. This was an agile project.Responsibilities:. Managed daily builds and releases to all the environments.. Debugged build failures and worked with developers and QA personnel toresolve related issues.. Worked on SonarQube setup static code analysis for continuousinspection of code quality and to perform automatic reviews of code todetect bugs, security scan for applications.. Prepared Maven builds and integrated CI Environment for buildautomation activity. Installed and configured Jenkins with different tools (plug-ins) forcontinuous integration process.. Automated, and optimized mission-critical deployments in multi-Cloudinfrastructure.. Deployed production-ready, load-balanced, highly available, and fault-tolerant Kubernetes infrastructure.. Containerized Python applications using Docker, improving portabilityand consistency across development, testing, and productionenvironments.. Automated infrastructure provisioning and configuration managementusing Python scripts, enhancing scalability and reducing manualintervention.. Collaborated with development and operations teams to troubleshoot andresolve application issues, leveraging Python for log analysis anddebugging.. Deployed applications with Helm Charts on top of Kubernetes.. Deployed Jenkins, Grafana, Nexus, Prometheus, Kubernetes dashboard,SonarQube, Ingress Controller, Kibana, Elasticsearch on GKE usingTerraform and utilizing Kubernetes Helm Charts. Used Kubernetes to orchestrate, scale and monitor deployments ofDocker-containerized applications.. Built and Managed multi-cloud infrastructure, IAAC, with Terraform &Interacted with Terraform modules, generated, and modi?edcon?guration.. Developed continuous delivery pipeline in Cloud Environments,Automated operations, and tasks with CI/CD, Automated infrastructuredeployment for different environments.. Built cost-effective, fault-tolerant, and scalable distributed systemson AWS using compute, networking, storage, and database AWS services.. An understanding of the AWS global infrastructure, networktechnologies as they relate to AWS and AWS Cloud security bestpractices.. Experienced with installation, con?guration, ?lesystem management,system upgrade, software patches, analyzing the disk usage, monitorsystem logs in LINUX Operating System.Environment: Amazon Web Services, Python, Groovy, Shell Scripting, Ansible,Docker, Kubernetes, Terraform, Jenkins, GIT, Maven, Nexus, SonarQube,Tomcat Server, Linux. |
