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Sujan Kandala - Sr. DevOps Engineer

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PROFESSIONAL SUMMARY With over 11 years of experience, including 7+ years specializing in cloud computing (AWS, Azure, GCP), platform management, DevOps automation, DevSecOps, CI/CD pipeline optimization, infrastructure as code (IaC), container orchestration, and security best practices. Proven expertise in automating software delivery, managing cloud infrastructure, and implementing scalable, high-availability systems to enhance efficiency, reduce costs, and accelerate time-to-market. Additionally, 4 years of experience as a Linux System Administrator, managing system performance, security, and automation. Proficient in managing Amazon AWS cloud administration, encompassing services such as EC2, S3, EBS, VPC, ELB, AMI, IAM, SNS, SQS, DynamoDB, Lambda, Lex, Kinesis, Glue, Fargate, Autoscaling, CloudFront, ECS, EKS, Elastic Beanstalk, EFS, Route 53, RDS, ElastiCache, Neptune, IAM, AWS Cognito, WAF, CloudWatch, AWS Config, CloudTrail, AWS Amplify, SageMaker, Quicksight, Amazon MQ, CloudFormation, and Security Groups leading to significant cost optimization and improved resource utilization. Expertise in Azure infrastructure management, including Virtual Machines, Azure Storage (Blob Storage, File Storage, Disk Storage), AKS, ACR, Cosmos DB, Azure Functions, Logic Apps,, Azure Virtual Network, Azure ExpressRoute, Azure Load Balancer, Azure Application Gateway, Azure Active Directory, Key Vault, Azure SQL Database, PostgreSQL, MariaDB, Azure Synapse Analytics, Azure Monitor, Azure Log Analytics, Sentinel, Azure Security Center, Azure Machine Learning, Cognitive Services, Azure Data Factory, Insight ensuring secure and scalable cloud deployments. Proficient in Terraform (AWS & Azure), Bicep, CloudFormation, ARM Templates for automated provisioning and multi-cloud infrastructure management. Experienced in Ansible, Puppet, and Chef, reducing manual intervention and enhancing system stability. Integrated Terraform with Ansible & Packer to create and version AWS/Azure infrastructure, improving scalability and automation. Designed highly efficient Continuous Integration (CI) and Continuous Deployment (CD) pipelines using Jenkins, Azure DevOps, GitHub Actions, Argo CD, Bamboo, TeamCity, and TFS, improving deployment efficiency and reducing release cycle time. Expertise in Git, Azure Repos, SVN, streamlining version control, collaboration, and release management. Implemented automated deployment solutions for PaaS and SaaS-based applications using Chef Enterprise, Pivotal Cloud Foundry (PCF), and AWS, ensuring scalability, reliability, and compliance with industry s best practices. Managed containerized application deployments across Azure Kubernetes Service (AKS) and Amazon Elastic Kubernetes Service (EKS) enhancing deployment speed (+40%) and resource efficiency (-25%). Proficient in OpenShift for managing Docker containers and Kubernetes clusters, leading adoption efforts that enhanced scalability and improved deployment efficiency by 30%. Skilled in Prometheus, Grafana, AWS CloudWatch, Azure Monitor, improving observability and system reliability. Expertise in Splunk, Dynatrace, SonarQube, ELK Stack (Elasticsearch, Logstash, Kibana), Datadog, Nagios and New Relic for log management, application monitoring, and security analytics. Managed Linux (Red Hat Enterprise Linux - RHEL, CentOS, Ubuntu), UNIX (Solaris), and Windows environments, ensuring high availability and disaster recovery. Hands-on experience with Nginx, Apache, Tomcat, WebLogic, JBoss, WebSphere, optimizing middleware performance and security. Integrated Kafka with Flume in sandbox environments, enhancing data streaming capabilities. Experienced in Azure Migrate, AWS Migrate, and Azure Site Recovery (ASR) for on-prem to cloud migrations, leveraging OVF templates and vCenter integration, with a strong focus on Site Reliability Engineering (SRE) principles. Designed multi-tier application provisioning in OpenStack, integrating it with Puppet and Maven for automated application migration. Knowledge of Waterfall, Agile, and DevOps methodologies for end-to-end SDLC process management. I am expert in scripting and automation using PowerShell, JSON, Node.js, YAML, Ruby, Perl, XML, Gradle, HashiCorp Configuration Language (HCL), Groovy, Bash/Shell, C++, Golang, and Python to streamline build, release, and deployment processes, enhancing efficiency and reducing manual intervention. Strong knowledge of the Microsoft .NET Framework, including WinForms, Web Forms, WCF, and WPF. Designed and implemented automation frameworks from scratch using Java, REST API, JUnit, JGIT, JSoup, Selenium, Cucumber, TDD, and BDD for leading Java projects. Hands-on experience with JIRA, Confluence, and Agile (Scrum/Kanban) methodologies, improving team collaboration and reducing issue resolution time by 20%. Automated cloud infrastructure deployments in AWS & Azure achieving substantial cost savings. Designed robust CI/CD pipelines, significantly reducing release time and improving software delivery speed. TECHNICAL SKILLS Cloud Environments Microsoft Azure, Amazon Web Services (AWS), GCP Azure Azure VMs, Azure App service, Azure Functions, AKS, Azure Storage, Azure Data Factory, Azure Virtual Network, , ACR, Azure DevOps, Azure B2C, Azure ExpressRoute, Azure Load Balancer, Azure Application Gateway, Azure Active Directory (AAD), Key Vault, Azure SQL Database, Azure Synapse Analytics, Azure Monitor, Azure Logs, Sentinel, Azure Security Center, Azure Machine Learning, Cognitive Services, Insight. AWS AWS EC2, ELB, S3, EBS, VPC, Route 53, RDS, Auto-Scaling, IAM, SNS, SES, SQS, Cloud Front, Cloud Formation, Cloud Watch, Elastic Beanstalk, AMI, Lambda, Lex, Kinesis, Glue, Fargate, , ECS, EKS, EFS, Route 53, ElastiCache, Redshift, Neptune, AWS Cognito, WAF, CloudWatch, AWS Config, CloudTrail, AWS Amplify, SageMaker, Quicksight, Amazon MQ, Security Groups. SCM Tools: GIT, GitHub, Subversion, Azure Repos Version Control Tools SVN, Git, GitOps, GitHub, GitLab, Bitbucket Tracking Tools JIRA, Bugzilla, Remedy, IBM Clear Quest, Artifactory, Nexus, ServiceNow, Confluence Build/Release (CI/CD) Jenkins, Azure DevOps Pipelines, CircleCI, TeamCity, Octopus, Maven, Github Actions, Argo CD. Automation Tool Ansible, Terraform, ARM templates, Bicep, Chef, Puppet Monitoring Tools Nagios, Splunk, ELK Stack (Elasticsearch, Logstash, Kibana), CloudWatch, Azure Monitor, Prometheus, New Relic, Grafana, Azure Log Analytics, Kafka, Dynatrace, Datadog, Loki. Container Tools Docker, Docker Swarm, Kubernetes, Mesos, OpenShift, Aws ECS, Azure ACR and Helm. Web/Application Servers Tomcat, JBoss, Web Logic, Web Sphere, Apache, Nginx, Oracle server, IIS Web Server Networking/Protocol TCP/IP, NIS, NFS, DNS, DHCP, WAN, SMTP, LAN, FTP/TFTP, UDP. Operating Systems Linux (Red Hat 4/5/6/7/8/9), Solaris, Ubuntu, UNIX, Windows, MacOS and RHEL. Database My SQL, PostgreSQL, MariaDB, Couch DB, Oracle SQL, NoSQL, Cosmos DB, Dynamo DB, MongoDB, Cassandra, SQL Server, Hadoop Programming/Scripting Languages Java, Python, JavaScript, Groovy, Ruby, Angular JS, YAML, Golang, node.js, Groovy, .Net, C, C++, PowerShell, Bash, Shell/Perl Script, XML, JSON, Gradle, Hashi Corp. EDUCATION Bachelor s in computer science engineering (CSE) from Anurag Group of Institutions, Hyderabad, India in May 2012. CERTIFICATIONS Certified AWS Developer Certified Terraform Associate Certified Kubernetes Administrator Certified Microsoft Azure Administrator PROFESSIONAL EXPERIENCE Sr. Cloud DevOps Engineer / Infrastructure Engineer Client: Microsoft September 2023 Present Roles & Responsibilities Designed, configured, and deployed Microsoft Azure for a multitude of applications utilizing the Azure stack (Including Computer, Web & Mobile, Blobs, ADF, Resource Groups, Azure SQL DW, Cloud Services). Experience in configuring Azure web apps, Azure App services, Azure Application insights, Azure Application gateway, Azure DNS, Azure Traffic manager, Azure Network Watcher, Implementing AZURE Site. Planned and created Azure virtual machines and managed virtual networking within Azure, connecting to on-premises environments. Managed multiple corporate applications in Git, Azure DevOps and Azure Repos, providing access control for development teams. Developed solutions for migration to Azure, creating ARM templates for Azure platform. Set up Azure Virtual Appliances (VMs) for security, including firewall, WAN optimization, and intrusion detection. Developed PowerShell scripts to migrate Azure Classic workloads to ARM templates. Created CI/CD pipelines in GitLab for automating Docker image builds and Kubernetes deployments, leveraging GitLab environment variables. Migrating legacy ARM templates to Bicep while automating client tasks with PowerShell and integrating Azure Site Recovery (ASR) shows strong expertise in cloud automation, infrastructure modernization, and disaster recovery. Provisioned Azure resources using Terraform, including AKS clusters and databases like SQL and Cosmos DB. Built Azure DevOps pipelines for CI/CD and integrated performance testing for applications like Java and .NET. Automated Azure VM configurations using Ansible and integrated with pipelines. Worked with OpenShift for Docker and Kubernetes. Developed Bicep for consistent Azure infrastructure provisioning, including load balancers and networks. Implemented monitoring for AKS using Prometheus, Grafana, Loki and Azure Monitor with dashboards and alerts. Extended Chef capabilities with custom resources and automated CI/CD workflows using GitHub Actions. Optimized Prometheus performance with efficient label schemes, scrape intervals, and federation for scale. Designed Azure architecture and led cloud migration, optimizing for scalability and cost efficiency. Developed Microsoft ecosystem solutions, including Dynamics 365, Power Apps, and Power Automate. Used Terraform variables for flexible configurations and set up remote backend for collaboration. Deployed and maintained Splunk Universal Forwarder on multiple platforms. Monitored infrastructure using Nagios and assisted in Splunk dashboard creation. Wrote Helm charts for Kubernetes applications, managing version control with GitHub. Automated C# and .NET deployments using CI/CD pipelines and DevOps tools. Created Python functions on Azure Functions with integrations and performance tuning for Linux systems. Migrated and managed databases in Azure, ensuring high availability and optimized performance. Implemented DNS security measures to protect against spoofing and cache poisoning. Worked with DataDog Agent to collect and monitor metrics from Azure services. Developed Ansible scripts for automated server provisioning and Docker image management. Used GitLab and Ansible for managing Docker containers and deploying playbooks to systems. Created private cloud infrastructure with Kubernetes, supporting development, testing, and production. Used Kubernetes for scaling and managing Docker containers across multiple namespaces. Integrated third-party Restful APIs into Node.js and developed responsive interfaces with React.js. Built Docker images in Jenkins pipelines and deployed to OpenShift containers for microservices. Enabled Continuous Delivery with Jenkins, deploying across environments with Maven and SonarQube. Managed Kafka logs and security features, including SSL/TLS and Kerberos authentication. Automated infrastructure and configuration management using Python, Ansible, and Terraform. Troubleshooted Terraform issues and developed automated deployment pipelines for Azure PaaS. Configured and managed web servers on Linux or RHEL, implementing monitoring with Nagios and Logstash. Managed Kafka clusters for high availability and efficient data streaming across environments. Applied Agile methodologies for system design and development, optimizing performance with OpenTelemetry. Monitored Chef infrastructure with Chef Automate, ensuring visibility and compliance. Implemented network security measures, including VPNs and network segmentation. Configured Dynatrace for performance monitoring and developed Azure Log Analytics solutions. Created and managed Helm charts for Kubernetes and developed YAML-based templating solutions. Developed custom OpenShift templates and operators for streamlined application deployment. Built technical solutions on Microsoft Dynamics 365 to enhance business processes. Developed single-page applications with React.js, managing state with Redux. Integrated Jira with security tools and customized Confluence for improved user experience. Automated CI/CD processes using Jenkins and GitHub Actions with monitoring and logging tools. Developed CI/CD pipelines to test, build, and deploy Python apps to Azure App Services. Integrated DevSecOps practices into CI/CD workflows to ensure security compliance in software development and deployment. Developed and deployed ML models using Azure Machine Learning and Databricks to enhance predictive analytics, personalized patient care, and healthcare recommendations at CVS Health. Managed ML workloads using MLOps tools, enabling automated training, deployment, and monitoring of machine learning models. Used Hashicorp Vault for secure storage of passwords and authentication tokens. Coordinated GitLab branching and resolved source code conflicts. Developed Landing Zones in Azure to enable scalable, secure, and compliant cloud environments, adhering to HIPAA, SOC2, and PCI DSS compliance. Worked extensively with core Java, using Streams and Lambda expressions for data processing. Troubleshooted and resolved issues in Agile environments, using Golang and AngularJS for diagnostics. Maintained Helm charts and implemented GitOps practices for continuous delivery in Kubernetes. Developed custom Splunk Apps and implemented robust change management processes. Streamlined development workflows by integrating GitHub with various third-party tools and services, such as SonarQube and Tide lift, Passion to streamline development workflows and enhance project management. Collaborated as a team member in investigating and resolving technical issues, utilizing diverse development tools and project tracking systems to ensure efficient project progress and successful outcomes. Strong communication skills and problem-solving abilities to devise solutions that enhance infrastructure automation and continuous delivery processes. Environment: Azure DevOps, OpenShift, AKS, ACR, Terraform, ARM Templates, Bicep, Ansible Playbooks, Ansible Tower, Jenkins, GitHub Actions, Terraform, Azure Databricks, Helm, YAML, GitOps, Hashi Crop, Prometheus, Grafana, Splunk, Jira, Confluence, New Relic, Slunk, CKAD Security, HIPAA Compliance, Git, GitHub, Azure Repos, Bitbucket, JFrog Artifactory, Nexus, Java, .NET, C#, Node.js, Python, Golang, Bash, PowerShell, YAML, Groovy, SQL, Azure Active Directory, Disaster Recovery, MLOps, Kubernetes, RHEL, DevOps Engineer / Platform Engineer Client: Bayer January 2021 September 2023 Role & Responsibilities Planned and maintained AWS cloud infrastructure, managing EC2 nodes and VMware VMs, ensuring system efficiency. Developed scalable Amazon VPCs, implementing advanced security with security groups and network ACLs for comprehensive filtering. Automated AWS Lambda deployments using S3 events, streamlining serverless architecture management. Configured data pipelines for ML teams on Mesos-managed EC2 clusters with Docker and Python ETL, optimizing AWS S3 storage. Utilized AWS security features, including Security Groups, ACLs, and NAT instances, to create secure zones in public cloud environments. Leveraged OpenShift monitoring tools to troubleshoot issues, minimizing downtime and improving application performance. Implemented Terraform for multi-cloud deployments, automating AWS infrastructure setups like EKS, VPC, and Redshift clusters. Integrated React with REST APIs, enhancing application performance through efficient data handling. Automated Azure resource management with PowerShell, integrating with Python and Bash for cross-platform scripting. Facilitated GitHub code reviews through pull requests, ensuring high code quality and adherence to best practices. Customized Jira workflows and managed projects, aligning development processes with team needs. Developed Azure Functions in Python to feed logs into DataDog, enabling advanced security analysis and visualizations. Managed Confluence instances, supporting backup processes and agile methodologies like Scrum and Kanban. Automated AWS tasks using Python with Boto3, enhancing AWS CloudFormation and Ansible automation. Wrote Ansible playbooks for configuration management, utilizing Ansible Tower for multi-node orchestration. Implemented RESTful APIs in C# and .NET, focusing on error handling and secure data transactions. Leveraged pipelines for Automated Performance testing, validation, and deployment of applications written in Java, .NET, and more Integrated Kafka Connect with external data sources, streamlining data flow and enhancing system modularity with Terraform. Automated database management tasks using Python scripts and SQL/NoSQL query automation, including backup, restore, and data migration processes. Configured DataDog Synthetics tests on Azure VMs to monitor critical applications with end-user journey segmentation. Implemented hybrid cloud strategies, leveraging PaaS for efficient event-driven architectures. Ensured secure system communication using protocols like HTTP/HTTPS, FTP, and TCP/IP. Configured service mesh traffic management to ensure reliable service-to-service communication. Managed OpenStack networking, including dynamic traffic rerouting via Floating IPs. Developed Azure DevOps pipelines for CI/CD with Kubernetes, automating performance testing and application deployments. Migrated infrastructure to Chef-managed environments, converting scripts to maintain consistent configurations. Developed and deployed Helm charts to Kubernetes using Helm. Automated AWS infrastructure management using Terraform and PowerShell for consistent and scalable deployments. Contributed to DevOps strategy, supporting mixed Linux environments with Jenkins and real-time data integration. Automated infrastructure monitoring with DataDog across Azure apps, resolving bottlenecks efficiently. Streamlined CI/CD with Jenkins, automating builds and deployments from GitHub repositories using Maven and Ansible. Created artifact files for deployment using Apache Tomcat, focusing on scalable and secure virtual networks. Managed Jenkins CI for builds, administering databases and deploying scalable infrastructure with Terraform and Chef. Secured sensitive data on Snowflake, adhering to industry regulations like GDPR and HIPAA. Developed backend applications using Node.js, ensuring high performance and scalable architecture. Enabled seamless navigation with React Router, improving application usability. Managed and optimized SQL databases, including MySQL, Azure SQL, and PostgreSQL, ensuring high availability. Integrated Dynatrace with DevOps tools, automating monitoring and scaling for efficient deployments. Automated server configurations using Chef recipes, reducing deployment times and manual processes. Enhanced application visibility with Splunk, developing dashboards and queries for trend analysis and security monitoring. Created custom Prometheus alerts, Grafana Dashboards to monitor microservices, ensuring rapid detection of anomalies. Enhanced security monitoring with Dynatrace, responding to threats and improving application security. Managed Docker containers on OpenShift, automating deployments and securing data transfer. Maintained Terraform state files, ensuring consistent AWS resource management with remote state storage. Automated Kafka cluster deployment using Ansible and Python, reducing manual intervention. Developed Golang REST APIs with Swagger documentation, optimizing API gateways and middleware. Prototyped CI/CD with GitLab and Kubernetes, defining Terraform outputs for secure AWS configurations. Packaged Kubernetes applications with Helm, creating reusable YAML templates for deployments. Automated CI/CD pipelines with Jenkins and GitHub Actions, integrating unit testing and static code analysis. Optimized microservices deployment using Helm charts, ensuring consistent environments in Kubernetes clusters. Monitored SonarQube server health, maintaining high availability for code analysis tasks. Deployed and managed Docker containers on Kubernetes, ensuring scalability and secure namespace management. Created AWS AMIs using HashiCorp Packer, automating secrets management with HashiCorp Vault. Leveraged Kafka for real-time data pipelines, enhancing system scalability and fault tolerance. Automated security scans with Cron-Jobs and Harness workflows, integrating Gradle and Docker for efficient builds. Managed Confluence and Jira systems, supporting content sharing and defect tracking. Utilized Java core concepts like multi-threading and exception handling for robust business logic development Implemented ITIL-based workflows for streamlined DevOps operations, improving response times and reducing deployment failures. Designed and implemented Disaster Recovery (DR) strategies using AWS Site Recovery (SRE) and multi-region deployments. Environment: Azure, AWS, VMware, OpenStack, Terraform, Ansible, PowerShell, Cloud Formation, Azure DevOps, Jenkins, GIT, Docker, Kubernetes, OpenShift, Redshift, Helm, Splunk, Jira, Datadog, Snowflake, Maven, Dynatrace, Golang, GitHub Actions, YAML, SQL Databases, Argo, HashiCrop, Helm, Splunk, Apache Tomcat, Kafka, ITIL, Gradle, Chef DevOps Engineer / Site Reliability Engineer Client: AXA Insurance, Connecticut. September 2019 - December 2020 Role & Responsibilities Collaborated with development teams to integrate SRE practices into the software development lifecycle, promoting reliability as a shared responsibility. Participated in on-call rotations, responding to incidents and effectively mitigating issues to meet service level agreements. Designed and tested disaster recovery plans, ensuring business continuity in case of catastrophic failures. Designed and deployed AWS infrastructure, including EC2, S3, RDS, Route53, RDS, lambda, ELB, Auto Scaling, Sagemaker, CloudWatch, and SNS for scalable and high-availability environments. Implemented AWS Security Groups, NACLs, and IAM policies for secure and controlled access to AWS resources Wrote Python scripts and GitHub Actions to automate provisioning of AWS infrastructure like VPCs, subnets, and security groups using Boto3. Developed real-time anomaly detection pipelines using Amazon Kinesis Analytics, Kinesis Streams, AWS IoT, DynamoDB, AWS Greengrass Core and AWS Lambda, improving vehicle diagnostics and predictive maintenance. Developed Terraform modules to provision AWS infrastructure across multiple regions for disaster recovery and fault tolerance. Automated cloud infrastructure provisioning using AWS CloudFormation, Terraform, and Ansible. Managed AWS Elastic Beanstalk applications, including custom domain setup, SSL certificate management, and auto-scaling configuration. Configured Jenkins CI/CD pipelines for microservices deployment to Kubernetes, integrated with Nexus, and JFrog Artifactory. Managed and optimized Git branching strategies, release processes, automated build and deployments. Configured Jenkins with plugins for Git, Maven, Nexus, and scheduled multiple jobs in Build Pipelines. Wrote Ansible playbooks, inventories, created custom playbooks written in YAML language, encrypted the data using Ansible Vault and maintained role-based access control by using Ansible Tower. Expertise Docker images using a Docker file, work on container snapshots, remove Images, and manage Docker volumes. Orchestration of Docker images and Containers using Kubernetes by creating master and node. Expertise in Clusters using Kubernetes (EKS) and worked on creating many pods across nodes in a cluster. Used Kubernetes to deploy scale, load balance, scale, namespace management, and RBAC and manage Docker containers with multiple names spaced versions. Used Hashicorp Vault for secrets management (storing keys, tokens, API keys, etc). Utilizing modern tools like Argo CD, Flux, and Harness. Implemented Salesforce DevOps CI/CD pipelines using Copado, and GitHub Actions. Automated deployment processes for Java Spring Boot and .NET Core applications, running on AWS Lambda, ECS, and EKS, using Jenkins, GitHub Actions, and AWS Code Deploy Optimized cloud storage solutions using Amazon S3 and AWS Glacier, ensuring scalable data retention and historical vehicle analytics. Enhanced observability and monitoring using Open Telemetry, Dynatrace and ELK (Elasticsearch, Logstash, Kibana), reducing system downtime and improving incident response times. Implemented Observability as Code using Terraform to replicate New Relic alerts and while monitoring cloud application logs and system metrics with Nagios and custom dashboards to ensure high availability Developed and deployed full-stack applications integrating with AWS services, RESTful APIs, GraphQL, and authentication mechanisms (OAuth 2.0, OpenID Connect) for secure microservices communication. Set up Prometheus for AWS Kubernetes cluster monitoring and utilized Grafana, Loki for AWS service metric visualization and alert setup for key metric deviations. Implemented CI/CD pipelines with GitHub Actions, Helm, Terraform, and AWS CodePipeline, automating deployments for EKS workloads, and cloud applications. Implemented end-to-end security scanning using Uni testing and AWS Security Groups to prevent vulnerabilities in code and infrastructure. Responsible for the installation, configuration management, maintenance, and systems development of Linux/UNIX environments, specifically focusing on RHEL (Red Hat Enterprise Linux) for optimized performance and security. Environment: Amazon Web Services, Terraform, AWS CloudFormation, Boto3, Jenkins, Rest APIs, AWS Code Pipeline, Ansible, Helm, GraphQL, Shell Scripting, Docker, Kubernetes, Splunk, ELK, Prometheus, Grafana, YAML, Dynatrace, New Relic, Git, GitHub Actions, JFrog Artifactory, Nexus, New Relic, Python, .Net, Java, RHEL, Linux, Unix, Salesforce, Telemetry, Capodo. DevOps Engineer Client: Dynamic Signal May 2018 August 2019 Roles & Responsibilities Experience in Software Integration, Configuration, building, automating, managing and releasing code from one environment to another environment and deploying to servers. Working on multiple AWS instances by setting services like Route53, EBS, ELB, RDS, SQS, SNS and created and administered DNS system using Route53. Planning, deploying, monitoring, and maintaining AWS cloud infrastructure consisting of multiple EC2 nodes and VMware, leveraging Ansible for automated provisioning, configuration management & patching across environments Monitored resources and applications using AWS cloud watch include creating alarms to monitor metrics such as EBS, EC2, ELB, RDS, S3 and configured notifications for the alarms generated based on events defined. Provisioned highly available EC2 instances using Terraform and CloudFormation and developed custom Maven plugins to extend Terraform functionality for deploying LAMP-based applications in AWS. Researched and developed scalable Linux deployments on AWS via CoreOS and Docker and used Docker Compose to develop dependent instances to be deployed in the EC2 platform. Designed and implemented CI/CD pipelines using AWS Code Pipeline, automating deployments with AWS CloudFormation for seamless infrastructure provisioning and application delivery. Experience with S3 Bucket services like creating buckets, managing policies, configuring buckets with permissions, logging, versioning, tagging and Glacier for storage and backup on AWS. Served application data using Lambda functions to store data in NOSQL database Dynamo DB. Configured REST API's using API Gateway that hit lambda which in turn invokes lambdas to do necessary operations. Installed Redshift on AWS and imported the legacy data from Oracle to Redshift. Participated in integration of applications with existing API s. Running and managing container workloads in OpenShift on an on-prem private cloud Automated deployment pipelines using Octopus Deploy, optimizing release management for enterprise applications built with Ant and Gradle, and enhancing CI/CD workflows across cloud and on-premises environments. Integrated Kafka with AWS services for real-time data ingestion, processing, and analytics. Developed PowerShell, Bash and Python scripts to automate the project creation, setting permissions for users, groups in TFS. Implemented JIRA to track all issues pertaining to the software development lifecycle & integrated JIRA with repositories of GIT, Subversion to track all code changes. Environment: AWS, Terraform, Kafka, VMware, AWS Cloud Formation, VMware, Docker, AWS Code Pipeline, Ansible, Ant, Redshift, Gradle, Oracle, Octopus, Git, PowerShell, Bash, DNS, Python, JIRA, Subversion, Java, Linux, CloudWatch, OpenShift. Linux Administrator Client: Mavin Infotech Pvt.LTD,India February 2013 August 2017 Role & Responsibilities Installed, configured, and upgraded RHEL 4/5/6/7, Ubuntu, Oracle Enterprise Linux (OEL) 5/6/7. Automated Linux server installation using Kickstart, and deployed Solaris using Flash, and Jumpstart Servers. Developed Ansible Playbooks to manage multiple host nodes to Upgrade Software s. Configured and administered Tomcat, JBOSS, and WebSphere application servers for enterprise deployments. Designed and implemented VMware infrastructure, executing P2P, P2V, and V2P migrations using VMware Converter. Developed and managed CI/CD pipelines using Jenkins and Bamboo, ensuring smooth automated software builds and deployments. Administered GIT & Subversion (SVN), creating repositories, branches, tags, and managing access permissions. Installed and configured DHCP, DNS, TCP/IP, UDP, FTP, NFS servers, assigning IP addresses and troubleshooting networking issues. Assisted development and database teams in configuration, migration, and performance troubleshooting. Wrote Shell scripts for automated installations, log extraction, and system monitoring using Nagios Used Packer, VirtualBox, Vagrant and Chef to replicate Jenkins build servers on test VMs. Provided 24x7 on-call support, debugging and resolving issues related to Linux, Solaris, and enterprise applications. Environment: RHEL, Linux, Ubuntu, Ansible, Kickstart, Solaris, Jumpstart, Ansible, Tomcat, JBoss, WebSphere, VMware, Git, SVN, Nagios, Vagrant, Chef, Jenkins, VirtualBox, DHCP, DNS, TCP/IP, UDP, FTP, NFS. Keywords: cprogramm cplusplus csharp continuous integration continuous deployment machine learning message queue javascript access management sthree database information technology