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Zaheer Ahmed - Devops Engineer

[email protected]

Location: Dallas, Texas, USA

Relocation: ready to relocate

Visa: Green Card

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ZAHEER AHMED Devops Engineer Contact No: 3122175348 Email ID: [email protected] LinkedIn: https://linkedin.com/in/zaheer-ahmed-8269b9333 PROFESSIONAL SUMMARY Worked with a broad portfolio of AWS & Azure infrastructure resources. Collaborated with development teams to create and maintain efficient CI/CD pipelines using AWS Code Pipeline, Code Build, and Code Deploy, resulting in accelerated software delivery. Utilized Azure DevOps services such as Azure Pipelines, Azure Repos, and Boards. Implemented scalable, resilient, and cost-effective cloud architectures on Azure, leveraging services like Azure Virtual Machines, Azure Kubernetes Service, and Azure App Services. Conducted vulnerability assessments and security scans in various stages for early detection and mitigation of security threats through Sonar and Aqua scans. Worked with containerization and clustering technologies like Docker, Docker Swarm, and Kubernetes along with the development of Microservices architecture using Spring Boot. Implemented Docker Compose to manage multi-container applications and orchestrated services across AWS and Azure cloud environments. Led the implementation and integration of DevSecOps practices into the software development lifecycle. Experience in Converting DevOps methodologies into the DevSecOps model by introducing security/vulnerability scans in different phases of DevOps. Implemented the DevSecOps model, integrating security practices throughout the entire development and deployment lifecycle. Checked routine updates of the SCM tools GitHub, GitLab, and Bitbucket ensured they were well-updated with up-to-date security patches and features. Expertise in the Integration of Spinnaker with CI/CD tools like Jenkins, and Circles for the software delivery process. Configured Travis CI to run build and test processes across different platforms and operating systems. Created new build jobs using Maven, Integration testing jobs, and deploying jobs in Bamboo to automate the process. Strong understanding of infrastructure automation tools like Cloud Formation Templates and Terraform. Integrated Bitbucket, SonarQube, and Nexus repository with Azure DevOps for automated CI/CD pipelines. Implemented Ansible-based automation across Linux and Windows environments, reducing manual configuration and deployment activities. Automated Active Directory user, group, permission, and server configuration tasks using Ansible and PowerShell. Worked on Terraform key features such as Infrastructure as Code, Execution plans, Resource Graphs, and Change Automation. Performed L2 & L3 level Full Life-cycle triage for all events on production servers including Incident logging and troubleshooting. Integrated Kibana with Elasticsearch to seamlessly visualize and analyze data stored in Elasticsearch indices. Created CI/CD pipelines for .NET, Java, and Python apps in Azure DevOps by integrating Bitbucket, SonarQube, and Nexus repository. Utilized Groovy to build complex pipelines in Jenkins. Created deployment areas such as testing, pre-production, and production environment in Azure Kubernetes Service. Configured App Insights, Prometheus, and Grafana monitoring dashboards for regular analysis. Azure SQL Managed Instances administration, configuration, monitoring, performance optimization, security, and production troubleshooting. SQL Server on Azure VMs deployment, configuration, connectivity, monitoring, backup/recovery, and production support. Led the migration of legacy applications to Azure Kubernetes Service (AKS), improving scalability and resilience while reducing infrastructure costs. Configured and integrated Datadog for full-stack monitoring of applications, infrastructure, and microservices in cloud environments (AWS, Azure). Hands-on in using OpenShift for container orchestration with Kubernetes, container storage, and automation, to enhance container platform multi-tenancy. Deployed a managed Kubernetes cluster in Azure and created an AKS cluster in the Azure portal, with the Azure CLI. Mentored junior team members, sharing SRE expertise, and best practices, and fostering skill development within the team. Configured AppDynamics cluster agent to monitor Kubernetes Service pod failures and restarts. Integrated applications and infrastructure with LDAP-based authentication and directory services, troubleshooting connectivity and authentication issues. Designed event-driven AWS workflows using SNS and SQS, integrating messaging with Lambda and CI/CD automation. Terraform Cloud remote state management, workspace configuration, Terraform runs, variables/secrets, and infrastructure deployment. HashiCorp Cloud Platform (HCP) cloud infrastructure management and integration with Terraform-based provisioning. Worked on Prometheus with the Grafana plugin to monitor AKS workloads. Implemented Terraform to provision and manage AWS and Azure resources, resulting in consistent and repeatable deployments. Utilized Ansible playbooks and roles to automate the provisioning and configuration of various services and middleware components in different environments. Deployed microservices-based applications in Azure Kubernetes Services (AKS) by using Helm Charts, Ingress API Gateway, MySQL, SQL Databases, and Cosmos DB for stateless storage of external data. Managed Apache Kafka clusters, ensuring their availability, scalability, and performance. Expertise in deployment strategies like Blue/Green Deployment, and Canary deployment. Azure Boards & Tasks sprint planning, work-item tracking, task management, defect tracking, and collaboration with development/infrastructure teams. Azure SQL Cost Optimization resource utilization analysis, sizing/right-sizing, performance optimization, storage optimization, and identifying opportunities to reduce Azure SQL costs. Experience with AWS instances spinning across Dev, Test and Pre-production, and Cloud Automation through Open-Source DevOps tools like Ansible, & Docker. Expertise in Installation and configuration of Puppet which includes Puppet Master, and Agent Nodes. Integrated security practices into SRE processes, ensuring compliance with industry standards and regulations. Azure SQL Cloud Ecosystem Azure SQL Database, Azure SQL Managed Instance, SQL Server on Azure VMs, monitoring, security, networking, and integration with Azure DevOps. AWS Managed Databases Amazon RDS provisioning, configuration, monitoring, backup/recovery, performance troubleshooting, and availability. Extensively worked on Hudson, and Jenkins for continuous integration and End-to-End automation for all build and deployments. Developed build and deployment scripts using ANT, Gradle, and Maven as build tools in Jenkins to move from one environment to another environment and create new jobs and branches through Jenkins. Working expertise on all aspects of Ansible concepts like Control Node, Managed Nodes, Inventory, Modules, Tasks, Playbooks, etc. Expertise in Implementation of access controls and key policies in HarshCorp Key Vault to enforce least privilege and ensure data security. Extensive hands-on experience with AWS, Azure, and GCP, delivering scalable cloud solutions across multi-cloud environments. Proficient in Terraform for Infrastructure as Code (IaC) to automate deployment of cloud resources across AWS, Azure, and GCP. Deep expertise in managing and deploying containerized applications using Kubernetes on EKS, AKS, and GKE clusters. Experience implementing Karpenter on EKS to automate node scaling and optimize Kubernetes cluster performance. Designed and deployed cloud networking solutions using Transit Gateway, Direct Connect, VPC Peering, and CloudWAN for secure, low-latency communication. Developed and managed serverless applications using AWS Lambda and integrated them with other AWS services. Implemented service mesh architectures using Istio on Kubernetes clusters for traffic management, observability, and security. Integrated Elasticsearch with cloud-native applications for real-time monitoring, log aggregation, and search capabilities. Written Ansible playbooks and roles to Provision several pre-prod environments consisting of Cassandra DB. Expertise in the Integration of ServiceNow with LDAP authentication. Automated Windows infrastructure provisioning, configuration management, patching, and application deployment using Ansible and PowerShell. Supported enterprise identity and access management integrations involving Active Directory, LDAP, and ForgeRock/CIAM platforms. Multi-Cloud Terraform IaC reusable Terraform modules and automated provisioning across AWS and Azure environments. Extensive experience in integrating Chef cookbooks into Jenkins jobs for CD framework. Expertise in writing Shell and Python scripts to automate various tasks, reduce manual effort, and improve operational efficiency. Worked on Dynatrace APM tool for full stack monitoring and configured management zones, Davis AI, synthetic monitors, RUM, dashboards. I have installed One agents in more than 2000+ hosts and 50+ Kubernetes nodes. Expertise in building microservices using Golang, contributing to the modularization and maintainability of the overall application architecture. Ability to deploy the developed code in a WebSphere/WebLogic/Apache Tomcat/JBoss, IIS7. Actively monitored AWS and Azure cloud resources using tools like CloudWatch, Azure Monitor, and Log Analytics. Implemented effective logging and monitoring solutions using Splunk, aggregating and analyzing system logs to proactively identify issues and improve system performance. Strong use of Shell Scripting languages including BASH for Linux and Mac platforms and PowerShell for Windows systems and automation of scripts using Python. Worked closely with development and QA teams to configure and maintain build and test environments on AWS and Azure cloud platforms. Experience in using bug tracking systems like JIRA, Remedy, and HP Quality Center. Actively participated in Agile and Scrum methodologies, contributing to sprint planning, and stand-ups. Designed, implemented, deployed, and managed highly available, fault-tolerant, auto-scaling, and auto-healing cloud systems. Expertise across major cloud providers AWS, Azure, and GCP, including container orchestration with Kubernetes (EKS, ECS, Fargate, GKE) and serverless architectures. Monitored and troubleshot distributed application/database environments using CloudWatch, Splunk, Prometheus, Grafana, and Dynatrace. Designed and executed failure simulation strategies to enhance system robustness and improve incident response processes. Strong hands-on skills with AWS CLI, CloudFormation, Ansible, Helm, and GitOps methodologies for automated infrastructure provisioning and management. Drove reliability and observability best practices across engineering teams by embedding Site Reliability Engineering (SRE) principles into the DevSecOps lifecycle. Partnered with engineering, security, and product teams to balance system reliability with rapid feature delivery. Expertise in CIAM solutions, specializing in the ForgeRock stack (PingGateway, PingAM, PingIDM, PingDS) with completion of ForgeRock Deep-Dive 400 trainings. Built and mentored high-performing SRE teams to establish operational excellence and promote a culture of continuous improvement. EDUCATION Bachelor of technology in Computer Science from Jawaharlal Nehru Technological University Hyderabad, India. CERTIFICATIONS AWS Certified Developer Associate Certified Kubernetes Administrator Azure Administrator Associate TECHNICAL SKILLS: Cloud Platforms AWS, Azure Configuration Management Tools Terraform, ARM templates, Ansible, Chef, Puppet. CI /CD Tools Jenkins, Azure DevOps Pipelines, AWS Code Pipeline, GitLab CI/CD, GitHub Actions, Bamboo, Travis CI, Circle CI. Build Tools Maven, ANT, Gradle. Containerization Tools Docker, Docker Swarm, Kubernetes, Mesos, OpenShift, AWS ECS. Version Control Tools GIT, GitHub, GitLab, Bitbucket, SVN. Logging & Monitoring Tools CloudWatch, Azure Monitor, Prometheus, Grafana, New Relic, Nagios, Splunk, ELK Stack, DataDog, Dynatrace, Kibana. Vulnerability Scanner Tools SonarQube, Veracode, X-Ray. Scripting & Programming Languages Shell Scripting, PowerShell, YAML, XML, Ruby, Java, Golang, Python, Groovy, .Net, Node.js. Databases My SQL, MS SQL, PostgreSQL, MongoDB, DynamoDB, and Aurora Global DB. Application/Web Servers Web logic, Web sphere, Apache Tomcat, Nginx, Apache Kafka, Microsoft D365 Operating Systems UNIX, Linux, Windows, Solaris, CentOS, UBUNTU and RHEL. Virtualization Platforms VMware Workstation, Vagrant, VMware vSphere ESXi 5.x/4.X, ESX /3.x, Hyper-V. Bug Tracking Tools JIRA, ServiceNow, Bugzilla, Mingle. Registry JFrog Artifactory, GitHub, Nexus. Key Vault s AWS Key Management Service, Azure Key Vault, HarshCorp Key Vault. Deployment Strategies Canary, Blue/Green. Web Technologies HTML5, CSS, JavaScript, jQuery, Bootstrap, XSD, XSL, XPATH, WordPress. PROFESSIONAL EXPERIENCE Client: AT&T, TX, Remote Mar 2025 Till Date Role: Sr. DevOps Engineer Project Description: Designed and implemented a scalable, secure multi-cloud platform across AWS, Azure, and GCP, leveraging Infrastructure as Code (IaC), Kubernetes, and cloud-native services. Automated application deployments and infrastructure provisioning using Terraform, Docker, Kubernetes, and CI/CD pipelines, improving deployment speed, reliability, and operational efficiency. Enhanced platform security, monitoring, and performance by implementing DevSecOps practices, centralized observability, and cloud cost optimization for enterprise applications. Responsibilities: Designed and implemented a continuous build-test-deployment (CI/CD) system with multiple component pipelines using Jenkins to support weekly releases and out-of-cycle releases based on business needs. Experience with container-based deployments using Docker, working with Docker images, Docker Hub and Docker- registries and Kubernetes. Lead transition from manual configuration and deployment to infrastructure as code using Chef, including design and implementation of cookbooks and tooling. Built and managed a large deployment of RedHat Linux instances systems with Chef Automation. Designed, provisioned, and managed AWS cloud infrastructure using Terraform, including compute, networking, storage, and managed database services such as Amazon RDS. Developed reusable Terraform modules to standardize infrastructure provisioning across AWS and Azure environments and improve deployment consistency. Managed Terraform Cloud workspaces, remote state, execution plans, variables, secrets, and automated infrastructure runs for multiple environments. Implemented automated local user provisioning VMs created in OpenShift and AWS cloud through Chef Recipes. Experienced Cloud and DevOps engineer in Automating, Configuring, and deploying instances on AWS, AZURE Cloud Involved working with a PaaS solution such as RedHat OpenShift. Used Jenkins pipelines to drive all micro services builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes. Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on AWS. Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy. Involved in development of test environment on Docker containers and configuring the Docker containers using Kubernetes. Experienced in configuring and managing data flows between AWS services and SaaS applications using Amazon AppFlow for seamless and secure data integration. Instrumented applications using Datadog APM (Application Performance Monitoring) to trace service-level bottlenecks and improve latency. refactoring of monolithic applications to Microservices and Component based architectures. Worked with OpenShift platform in managing Docker containers and Kubernetes Clusters. Worked on infrastructure with Docker containerization and maintained Docker Images and containers. Resolved 30+ customer complaints everyday related to Jenkins, Git, ClearCase, Nexus, Sonar, Java. Created Jenkins CICD pipelines for continuous build & deployment and integrated Junit and SonarQube plugins in Jenkins for automated testing and for Code quality check. Integrated SonarQube with Jenkins for continuous inspection of code quality and analysis with SonarQube scanner for Maven. Provision virtual servers using vagrant and kitchen in Oracle VM virtual box, provisioned servers in Amazon EC2. Streamlined installation of OpenShift on partner cloud infrastructure such as AWS. Creating the automated build and deployment process for application, re-engineering setup for better user. Utilized Kubernetes for the runtime environment of the CI/CD system to build, test deploy. Deployed virtual machines and another instance through OpenStack to handle different task force. Troubleshooting any part of the lifecycle services within the OpenStack including log files, message queues, database, computer hardware, and network connectivity. Tuned Elasticsearch indexing and shard allocation to optimize log query performance and system scalability. Provided infrastructure support and user support for OpenStack based private cloud. Installation, Configuration & Integration of RedHat OpenStack-Cloud platform. Responsible for OpenStack project core infrastructure including code review, continuous integration systems and development tools. Experience, and leading up to building a continuous integration system for all our products. Implemented AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, Auto scaling groups. Managed Chef Cookbooks to automate system operations. Integration of Maven/Nexus, Jenkins, Urban Code Deploy with Patterns/Release, Git, Confluence, JIRA and Cloud Foundry Using Jenkins AWS Code Deploy plugin to deploy to AWS. Automated provisioning and configuration of Azure Virtual Machines, Azure SQL Database, and Azure SQL Managed Instances using Terraform and Azure DevOps. Supported SQL Server workloads hosted on Azure VMs, including configuration, connectivity, monitoring, backup/recovery, and production troubleshooting. Changing the AWS infrastructure Elastic Beanstalk to Docker with Kubernetes. Defining Release Process & Policy for projects early in SDLC. Migrated Containers running at On-Prem OpenShift cluster to EKS Cluster by writing HELM Charts and integrating with Jenkins, Azure DevOps Pipelines. Worked on deployment automation of all the micro services to pull image from the private docker registry and deploy to docker swarm cluster using Ansible. Implemented infrastructure as code using AWS CloudFormation and Infrastructure as Code (IaC) tools like Terraform to ensure consistent and reproducible deployments. Have set up infrastructure using Terraform and have written YAML scripts. Have used terraform modules for creating dependencies between the microservices in both Azure and AWS cloud. Experience in Converting Existing Terraform modules that had version conflicts to utilize CloudFormation templates during deployments, worked with Terraform to create stacks in AWS and updated the Terraform scripts based on the requirement on a regular basis. Using Chef, deployed and configured Elasticsearch, Logstash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with AWS Lambda and CloudWatch. Implemented Dynatrace monitoring solutions for applications and infrastructure, ensuring real-time visibility into system performance, bottlenecks, and anomalies. Skilled in orchestrating serverless workflows using AWS Step Functions to coordinate Lambda functions and other AWS services with robust error handling and retry mechanisms. Used Java fundamentals like parallel streams and filters through lambda expressions to handle searching. Configure and deploy AWS Lambda service to run codes in response to events and automatically manage resources. Optimized volumes and lambda S3 instances and used IAM to create new accounts, roles, and groups. Developed advanced Ansible playbooks, roles, and custom modules to address challenging automation issues, contributing to the team's knowledge and efficiency. Configuring OnBase reporting dashboards for real-time tracking of document workflows. Implementing security policies, encryption, and user authentication mechanisms. Configured lambda S3 versioning and lifecycle policies to and backup files and archive files in Glacier. Configured Elastic Load Balancers (ELB) with EC2 Autos calling groups. Created monitors, alarms and notifications for EC2 hosts using Cloud Watch. Developed and deployed scalable, event-driven serverless applications using AWS Lambda with Python and Node.js, integrated with services like S3, EventBridge, and DynamoDB Experienced in setting up Application Metrics dashboards using tools such as Elasticsearch, Kibana, Splunk, Datadog. Network troubleshooting was performed to identify and resolve connectivity issues, latency issues, and packet loss. Enhanced service reliability by implementing Service Level Objectives (SLOs) and Service Level Indicators (SLIs), leading to improved uptime and customer satisfaction. Implemented performance monitoring solutions to analyze system behavior under various loads, enabling proactive adjustments to prevent performance bottlenecks. Configured Azure DevOps pipelines for automated D365 deployments, reducing manual efforts and improving deployment efficiency. Designed and maintained real-time data ingestion pipelines into Apache Druid from streaming sources like Kafka, ensuring low-latency querying for business intelligence dashboards. Optimized Druid cluster performance by tuning segment sizes, query caching, and broker/historical configurations. Environment: AWS, IAM, CloudWatch, CloudFormation, AWS Secret Manager, AWS CodePipeline, Elastic Container Registry (ECR), Elastic Kubernetes Service (EKS), Migration, Cost Explorer, CloudCheck, Terraform, Chef, Ansible, Docker, Jenkins, GitLab, GitHub, GIT, SonarQube, Nexus, OpenShift, Microsoft D365,Karpenter, Cloud Networking (Transit Gateway, Direct Connect, CloudWAN),Nagios XI, Onbase Hyland, Apache Tomcat, ELK Stack, Prometheus, Grafana, DataDog, ServiceNow, Python, JIRA. Client: BOA, Hybrid Mar 2022 Feb 2025 Role: DevOps Engineer Project Description: Automated Azure cloud infrastructure using Terraform, ARM templates, and Ansible, integrating CI/CD pipelines with Azure DevOps, Jenkins, and Bitbucket for seamless deployments. Managed containerized applications with AKS, ACR, and OpenShift, ensuring monitoring and security using Prometheus, Grafana, Dynatrace, and Azure Key Vault. Optimized cloud performance and data processing with Azure Log Analytics, ISTIO, ELK Stack, Kafka, and Azure Databricks. Responsibilities: Managed continuous delivery, deployment, and monitoring processes in Azure DevOps. Utilized Terraform modules and Ansible playbooks for consistent infrastructure deployments and application management. Developed ARM templates with nested templates and shared templates to facilitate the deployment of all Azure infrastructure. Evaluated Docker components, including Docker Engine, Docker Hub, Machine, Compose, and Docker Registry. Deployed microservice applications on Azure Kubernetes using Azure Kubernetes Service (AKS) and Kubernetes Cluster for cluster management. Experience working with Red Hat OpenShift Container Platform for Docker and Kubernetes. Configured Azure Role-based Access Control (RBAC) for strengthened security and access management. Integrated Kafka with CI/CD pipelines to automate the deployment of Kafka-related components. Administered Azure SQL Managed Instances, performing configuration, monitoring, performance analysis, security controls, and production issue resolution. Implemented Azure SQL performance and cost optimization by analyzing resource utilization, right-sizing workloads, optimizing storage and compute resources, and identifying opportunities to reduce cloud expenditure. Supported the broader Azure SQL cloud ecosystem, including Azure SQL Database, Azure SQL Managed Instances, SQL Server on Azure VMs, Azure networking, monitoring, security, and Azure DevOps integration. Experience in managing Zookeeper, configuration files, and adjusting parameters for optimal performance, stability, and coordination among nodes. Implemented automation testing frameworks using JUnit, Mockito, and build tools like Maven and Gradle, reducing manual regression efforts by 70%. Worked on various Azure services, including Compute, App Services, Blobs, Resource Groups, Azure Data Lake, Azure Data Factory, Azure SQL, and ARM Services. Designed and Implemented Migration Strategies for on-premises resources to Azure Cloud using Lift & Shift and Azure Led DevOps initiatives by deploying applications on AWS and Azure, using Terraform and Docker for infrastructure provisioning and containerization. Applied BDD practices using Cucumber and Gherkin, collaborating with QA and business teams to develop test cases based on user stories, improving communication and test coverage. Developed end-to-end UI automation tests using Cypress, integrated into CI pipelines for real-time feedback on application stability. Deployed and maintained the ELK Stack for centralized logging and real-time data visualization across distributed systems. Leveraged ISTIO for streamlined microservices communication and seamless integration with Kubernetes deployments. Installed, and Configured Ingress Nginx Controller in Kubernetes clusters to enable external access to services. Utilized Azure DevOps Boards and Tasks for sprint planning, work-item tracking, task assignment, defect management, release coordination, and infrastructure project tracking. Integrated Terraform with Azure DevOps CI/CD pipelines to automate infrastructure validation, planning, approval, and deployment processes across development, testing, and production environments. Implemented Nginx load balancing to distribute incoming traffic across multiple backend servers, ensuring high availability and scalability of web applications. Evaluated system logs using ELK stack. Designed and implemented robust monitoring and alerting systems using tools like Prometheus, Grafana, and DataDog. Worked closely with development, operations, and security teams to align SRE practices. Implemented Dynatrace to monitor application performance and gather insights into user experience. Worked with Azure Monitoring tools, including Azure Network Watcher, and Azure Service Health, to diagnose issues and minimize service degradation. Effectively used Tri to detect Common Vulnerabilities and Exposures in container images. Proficient in deploying and managing PAAS Azure services using ARM Templates and leveraging Log Analytics for resource addition and Dashboard creation. Efficiently tracked and managed tasks, defects, and project progress using Jira as a powerful project management and issue- tracking tool. Effectively collaborated with cross-functional teams and facilitated knowledge sharing and workflow with Confluence, ensuring improved team productivity. Environment: Azure DevOps, Azure Services, ARM templates, Azure SQL, Azure Active Directory, Cosmos DB, Terraform, Ansible, Jenkins, GIT, Bitbucket, Python, Docker, Azure DevOps, Migration, SonarQube, Azure Databricks, Red Hat OpenShift Container Platform, Azure Kubernetes Service (AKS), Azure Container Registry (ACR), ISTIO, ELK stack, Azure Log Analytics, Zoo Keeper, Dynatrace, Azure Key Vault, Azure Pipelines, Nginx, Prometheus & Grafana, Kafka, Jira, Confluence. Client: Sysco, Jacksonville,- FL Jan 2019 to Feb 2022 Role: DevOps Engineer Project Description: Implemented CI/CD pipelines using Jenkins, Azure DevOps, and Artifactory, automating deployments with SonarQube, Selenium, and Terraform for security and efficiency. Managed containerized applications with Docker, Kubernetes, and OpenShift, ensuring scalability and security with Harsh Corp Key Vault and AWS CloudWatch. Optimized monitoring and logging using Nagios XI, Splunk, New Relic, and Dynatrace, enhancing system reliability and proactive issue resolution. Responsibilities: Contributed to DevOps migration and automation initiatives for build and deployment processes. Advised clients on Build and Release Management strategies and best practices. Supported developers with SCM/Build tools, resolving issues such as merge conflicts, compilation errors, missing dependencies, and managing branching/merging/tagging. Provisioned AWS infrastructure (VPC, EC2, RDS, S3, IAM, EBS, Auto Scaling, SES, SNS, Lambda, Route53, Security Groups) using CloudFormation templates. Automated package installations, configuration updates, file management, and deployments with Ansible playbooks. Installed and managed Nexus repository for storing and maintaining build artifacts and dependencies. Implemented Infrastructure as Code practices across AWS and Azure, replacing manual infrastructure configuration with repeatable and version-controlled Terraform deployments. Managed AWS resources including EC2, VPC, S3, RDS, IAM, EBS, Auto Scaling, Lambda, Route53, SNS, and SES through automated cloud infrastructure processes. Monitored AWS and Azure infrastructure for availability, performance, capacity, and operational issues using CloudWatch, Azure Monitor, Log Analytics, Prometheus, Grafana, and Datadog. Managed AWS infrastructure as code (IAC) with Terraform, including automation of manually launched instances. Implemented CI/CD processes using Jenkins and PowerShell, automating repetitive jobs. Created shell scripts to automate build/release processes and to monitor repositories and server storage. Designed and deployed Kubernetes resources (deployments, services, persistent volumes) to manage applications on OpenShift. Built CI/CD pipelines on Jenkins integrated with OpenShift for automated deployments. Provided production support for OpenShift environments, resolving incidents and collaborating with Red Hat Support for escalations. Developed and deployed Docker-based test environments, orchestrated with Kubernetes, Bash, and Terraform. Collaborated with application, database, security, and infrastructure teams to troubleshoot Azure SQL, SQL Server, AWS RDS, VM, networking, and deployment-related production issues. Applied cloud governance and security practices including RBAC, IAM, Key Vault, least-privilege access, encryption, secrets management, and secure infrastructure provisioning. Provisioned AWS environments on EC2 instances for multiple applications using Docker and automation tools. Used JIRA for defect tracking, change management, and issue resolution; leveraged monitoring tools like New Relic and CloudWatch in both traditional and containerized environments. Extensively worked with Terraform for infrastructure as code, creating execution plans, resource graphs, and change automation. Managed code deployments across test and production environments, ensuring smooth rollouts. Configured Splunk to forward Cassandra system and GC logs, setting up dashboards and alerts for monitoring. Hands-on experience with .NET applications, managing branching, tagging, and release activities using Bitbucket. Set up Hudson as a CI tool for Java project integration. Developed Splunk queries and dashboards to support monitoring and analytics needs. Client: HCA Healthcare, Nashville, TN Sep 2016 Dec 2018 Role: DevOps Engineer | Cloud Platform Engineer Project Title: DevOps and Cloud Automation Project Description: Implemented CI/CD pipelines using Jenkins, Azure DevOps, and Artifactory, automating deployments with SonarQube, Selenium, and Terraform for security and efficiency. Managed containerized applications with Docker, Kubernetes, and OpenShift, ensuring scalability and security with Harsh Corp Key Vault and AWS CloudWatch. Optimized monitoring and logging using Nagios XI, Splunk, New Relic, and Dynatrace, enhancing system reliability and proactive issue resolution. Responsibilities: Worked for multiple development and system analysis teams, establishing build schedules and deployment guidelines for higher environments, and troubleshooting build system failures. Configured Azure cloud services, Azure Firewalls, Azure IAM (SSO/MFA/RBAC), Azure Active Directory (AD), Azure Resource Manager (ARM), Azure Storage, Blob Storage, Azure VMs, IIS, SQL Database, Azure Functions, Azure Service Fabric, Azure Monitor, and Azure Service Bus et., Migrated new projects to Jenkins and assisted developers in refactoring Maven Pom.xml to use Artifactory. Worked on installing OpenShift-logging operator on the cluster to get the logs for application, audit, and infrastructure in Kibana. Worked on installing the OADP operator on the OpenShift clusters for backup and restore of the projects and storing them in the S3 Bucket. Implemented new project build frameworks using Jenkins and Maven as build tools. Performed infrastructure changes using Terraform execution plans and change automation to minimize deployment risk and maintain consistent environments. Identified opportunities for AWS and Azure cloud cost optimization through resource utilization analysis, environment scheduling, right-sizing, and infrastructure optimization. Supported infrastructure deployments across development, testing, pre-production, and production environments, ensuring consistent configuration and controlled release processes. Worked on creating, configuring, and managing AKS clusters in Azure, including managing node pools, configuring networking, and setting up load balancing. Documented process guides for Jenkins, GIT, CD Pipeline, and code deployment for developers, testers, and production management. Integrated container security into DevSecOps pipelines for continuous monitoring. Worked on branching and merging code lines in GIT, resolving merge conflicts. Integrated GIT with Jenkins pipelines to trigger automatic builds and deployments upon code changes. Managing the Azure Kubernetes Services (AKS) policies, providing access to different Azure resources, and developing and improving the workflows that govern access. Led the migration of legacy encryption processes to Harsh Corp Key Vault, resulting in enhanced security and streamlined key management. Implemented and maintained Chef Configuration management across VMware and AWS cloud environments. Managed WebSphere software upgrades and patches, ensuring that the environment was up to date with the latest fixes and security updates. Implemented Serverless Cloud Services using Azure Functions with application insights. Configured Azure Security using RBAC, Azure Security Center, and Azure Monitor services. Created Jenkins CI/CD Pipeline to schedule turn off/on of non-production environments across multiple AWS Accounts. Managed Docker containers in the AWS environment. Configured Azure Infrastructure Automation using Terraform scripts and launched various services like AKS, ACR, VM, etc. Responsible for day-to-day builds and deployments in pre-production and production environments. Implemented Continuous Integration and Continuous Delivery using Jenkins, Puppet, and Shell Scripts. Integrated SonarQube for code coverage and Selenium for automated tests. Developed and maintained a centralized artifact repository using tools like Nexus, and JFrog. Automated the deployment of Kafka clusters using tools like Ansible, Terraform, or Kubernetes. Utilized monitoring tools like Prometheus, Grafana, or New Relic to closely monitor the behavior and performance of both Blue/Green environments. Utilized Docker and container orchestration tools like Kubernetes to streamline application deployment. Utilized Dynatrace to monitor containerized applications and microservices. Utilized custom scripts and hooks in Travis CI to execute database migrations. Monitored system infrastructure to ensure zero downtime, perform periodic backups, and troubleshoot failures. Integrated New Relic with AWS to monitor cloud resources, ensuring seamless visibility across the entire infrastructure. Used Nagios XI for overall server performance monitoring and log management. Implemented Splunk correlation searches and notable event detection to identify and respond to real-time security threats and incidents. Proficient in Bash Shell Scripting and automation of CRON Jobs. Generated scripts for effective integration of JIRA applications with other tools. Environment: Jenkins, Maven, Artifactory, GIT, Docker, Azure, Azure DevOps, Puppet, CloudWatch, Chef, VMware, AWS, SonarQube, Selenium, WebSphere, HarshCorp Key Vault, Kafka, Travis CI, Dynatrace, Nexus, JFrog, Kubernetes, OpenShift, Nagios XI, Nagios Plugin, Splunk, New Relic, Bash Shell Scripting , JIRA. Client: CareSource, Cleveland, OH Feb 2014 Aug 2016 Role: Cloud Engineer Project Description: Worked on automating CI/CD pipelines for core retail applications using Jenkins, Git, and Maven. Migrated legacy WebSphere apps to Docker containers orchestrated via Mesos and Marathon. Managed infrastructure provisioning on AWS and automated configuration using Puppet. Implemented Kafka for real-time inventory and order data streaming across systems. Configured Nginx, Apigee, and SOAP UI for secure API access and continuous service validation. Responsibilities: Designed and implemented a CI/CD pipeline using Jenkins for a web application. Active participant in the university's DevOps club, attending workshops and collaborating on projects. Participated in online courses related to DevOps practices, including courses on Udacity, Coursera, or other platforms. Contributed to open-source projects related to automation and infrastructure management on GitHub. Performed deployment of Amazon EC2 instances in AWS environment. Performed EC2 instances provisioning on AWS environment and implemented security groups, administered VPCs. Designed and Developed Bamboo Build deployments on Docker containers. Dockerized CI/CD tools (JENKINS and GIT lab). Documented Terraform modules, infrastructure configurations, deployment procedures, operational processes, and troubleshooting steps for development and infrastructure teams. Participated in incident troubleshooting and production support for cloud infrastructure, performing root-cause analysis and implementing automation to prevent recurring issues. Implemented Docker to provision slaves dynamically as needed. Created and Maintained Docker files in Source Code Repository build images and ran containers for applications and testing purposes. Creating and handling multiple Docker images primarily for middleware installations and domain configurations. Worked on migrating and managing multiple applications from on premise to cloud using AWS services like S3, Glacier, EC2, RDS, SQS, SNS, SES, Cloud Formation, VPC etc. Created and maintained continuous integration (CI) using tools Jenkins/Maven over different environments to facilitate an agile development process which is automated and repeatable enabling teams to safely deploy code many times a day while ensuring operational best practices are supported. Design and document CI/CD tools configuration management. Responsible for orchestrating CI/CD processes by responding to Git triggers, human input, dependency chains and environment setup. Familiarity with monitoring tools like Prometheus and Grafana, and experience setting up ELK Stack for log analysis. Basic understanding of Kubernetes and its role in managing containerized applications. Gained exposure to IT infrastructure and learned to communicate effectively with cross-functional teams. Demonstrated adaptability by quickly learning and applying new technologies in various projects. Collaborated with a team to develop an automated deployment solution using Jenkins, Git, and Docker. Participated in online courses related to DevOps practices, including courses on Udacity, Coursera, or other platforms. Environment: WebSphere Application Server Dell Servers, AWS, Red Hat Linux 6, Oracle RAC, Ubuntu, Puppet, Tomcat Server, Nginx, API Platforms, Cloud Foundry, Apigee, SOAP UI, Cassandra, Kafka, Docker, Mesos , Marathon Keywords: continuous integration continuous deployment quality analyst artificial intelligence user interface javascript sthree database active directory information technology hewlett packard green card trade national microsoft mississippi Florida Idaho Ohio Tennessee Texas