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Sai Chand - SRE DevOps

[email protected]

Location: Richardson, Texas, USA

Relocation: YES Anywhere in USA

Visa: H1B

SAI CH (Sr.DevOps Engineer) E-mail: [email protected] Phone: (567) 243-8896 PROFILE SUMMARY: Overall 8+ years of extensive experience in which 6+ years of automating, configuring, and deploying instances on AWS/Azure cloud environments and Data centers. Experience in the areas of DevOps, CI/CD Pipelines, Build and Release management and 2+ years as WebSphere Administrator. Proficient in deploying applications utilizing all the AWS stack (VPC, Route53, EC2, S3, ELB, EBS, RDS, DynamoDB, SNS, SQS, IAM, KMS, Lambda functions, Kinesis) with a focus on high-availability, fault tolerance and auto-scaling using templates. Experienced in implementing, configuring, and managing Elastic Load Balancing (ELB) to implement fault tolerance and ensure high reliability and efficient application usage. Provisioned Azure IaaS resources including Azure DNS, VMs, Azure Blob Storage, Azure Managed Disks, Azure SQL, Azure Cosmos DB, Azure Service Bus, Azure Active Directory, Azure Functions deploying web apps, and creating web jobs. Skilled in designing and implementing highly available and scalable cloud architectures using Azure Availability Sets, Virtual Machine Scale Sets, and Azure Load Balancer for ensuring business continuity and optimal performance of applications. Built artifact repositories and utilized Git, Subversion, GitLab, GitHub, Bitbucket for version control and collaborative code management leveraged Git Bash, GitHub, Git GUI, GitLab for source code management across development teams. Enhanced quality and security in CI/CD pipelines by implementing test automation with Selenium, static code analysis with SonarQube, and application security testing with Veracode. Leveraged DevOps tools including Puppet, Chef, and Ansible to implement configuration management across on-prem and cloud environments. Experienced in utilizing Ansible for efficient configuration management and automation of deployments, ensuring streamlined and consistent infrastructure provisioning in diverse environments. Experienced in implementing GitOps practices and deploying applications with Argo CD for efficient and automated continuous deployment and management. Deployed and managed containerized applications on AWS EKS leveraging AWS's managed Kubernetes service for efficient orchestration, scalability and availability. Managed and optimized Kafka clusters to ensure high availability, reliability, and scalability, resulting in a 99.9% uptime and a 20% improvement in message throughput, enhancing the overall data streaming infrastructure for the organization. Architected resilient, scalable container architectures on AWS EKS leveraging Elastic Load Balancer and CloudFormation for IaC deployments, ensuring optimal performance and operational efficiency for SRE role. Deployed and managed containerized applications on Azure Kubernetes Service leveraging Azure's managed Kubernetes for seamless orchestration, autoscaling, and high availability. Implemented infrastructure as code practices using Terraform to provision and manage infrastructure across AWS and Azure cloud platforms. Automated deployment of core resources including VPCs, subnets, gateways, security groups, load balancers, and compute instances. Developed reusable Terraform modules to deploy and configure networking, storage, and compute resources on AWS and Azure. Implemented Istio service mesh in Kubernetes clusters configuring control and data planes, defining traffic routing rules, access policies, quotas, and leveraging mTLS and mutual auth for security and observability. Worked with monitoring and visualization services like Splunk, ELK, Prometheus, Datadog and Grafana. Supported, configured, troubleshot, and maintained multiple server environments like Windows and Linux (Ubuntu, CentOS, RHEL). Leveraged Ticketing & Project Management tools like Jira and ServiceNow to support agile development methodologies including Scrum and Kanban Experience in using Tomcat, Web Logic, and WebSphere Application servers for deployments. CERTIFICATIONS: AWS Solutions Architect Associate. Certified Kubernetes Administrator. EDUCATION: Master s in computer information systems from Christian Brothers University. Bachelor s from Jawaharlal Nehru Technological University, India. TECHNICAL SKILLS: Cloud Environments Amazon Web Services, Azure. Version Control Tools GIT, SVN, Subversion, Bit Bucket, Git Lab CI/CD Tools Jenkins, Bamboo, Argo CD Build Tools ANT, Maven, Gradle. Testing / Code Quality Selenium, SonarQube, Veracode Configuration Management Ansible, Ansible Tower, Chef, Puppet Infrastructure as a code Terraform, Cloud formation, ARM. Container Tools Kubernetes, Docker, Helm charts, ISTIO API Gateway Apigee Monitoring Tools Splunk, Nagios, Cloud Watch, ELK, Grafana, Prometheus Scripting/Programming Languages Python, Shell (PowerShell/Bash), Ruby, YAML, JSON, Groovy, JavaScript, Shell Scripting. Operating Systems UNIX, Linux, Windows Server Databases SQL Server, MYSQL, Oracle, NoSQL, MongoDB, Dynamo DB, Cassandra Ticketing Tools Jira, SNOW Web/Application Servers Apache Tomcat, Nginx, HTTPs, IBM WebSphere WAS/MQ, IBM HTTP. Virtualization Tools Oracle Virtual Box, VMWare, vSphere, Vagrant WORK EXPERIENCE: Client: Elevance Health | Feb 2023 Till now Role: Sr. Cloud DevOps/SRE Engineer. Responsibilities: Experienced in creating, Configuring and maintaining Infrastructure on AWS Cloud services including Virtual Private Cloud (VPC), EC2, RDS, S3, Route 53, SNS, CloudFront and IAM. Experienced in creating complex IAM policies, Roles, and user management for delegated access within AWS. Configured and managed Azure Virtual Machines, Blob Storage, Azure AD, Cosmos DB, Logic Apps, Data Factory, and CDN. Built highly available and scalable infrastructures optimized for security, compliance, and cost efficiency. Worked on Serverless services (Azure Functions) creation and configured HTTP Triggers in Azure Functions with Application insights for monitoring and performing load testing on the Applications using the VSTS. Administered and supported GitHub Enterprise version control tool. Led on-prem to AWS cloud migrations leveraging right-sizing techniques, achieving 60% cost reduction and 2x application performance post-migration. Responsible for Configuring Kafka Consumer and Producer metrics to visualize the Kafka System performance and monitoring. Utilized Argo CD for declarative configuration management of complex Kubernetes environments, promoting infrastructure-as-code practices for consistent deployments. Experience with container systems like Docker and container orchestration like Kubernetes. Implemented infrastructure as code with CloudFormation and Terraform to automate provisioning of EC2, VPCs, S3, IAM, security groups, reducing deployment time by 50%. Leveraged Ansible and Ansible Vault to ensure secure management of web applications, environment configuration files, users, mount points, and packages. Automated infrastructure provisioning on AWS and Azure clouds using Terraform for consistent and reliable deployments. Built modular Terraform scripts to quickly spin up networking, compute, and storage. Implemented Azure Kubernetes Service clusters leveraging auto-scaling and cost optimization for container orchestration and optimal resource utilization. Managed and operated AWS EKS clusters, ensuring high availability, scalability, and reliability of Kubernetes-based containerized applications. Leveraging Helm charts for streamlined deployment and seamless upgrades of Kubernetes applications, ensuring availability, stability, and adherence to best practices in containerized DevOps environments. Implemented Argo CD for GitOps-based deployment to Kubernetes, configuring applications, pipelines, and repos to track desired state while leveraging health monitoring, autoscaling for continuous delivery. Performed Kubernetes cluster upgrades utilizing extensive canary testing, health monitoring, blue-green deploys, and graceful termination to ensure hardened clusters and minimal application downtime. Implemented monitoring and alerting with Splunk, Datadog to proactively identify and resolve performance issues, ensuring system reliability and minimal downtime. Leveraged Jira and Snow ticketing tool to optimize incident management, issue tracking, cross-team collaboration, and timely resolution minimizing impact and downtime. Environment: Java/J2EE, AWS, Azure, GITHUB, SonarQube, Jenkins, Ansible, ANT, Maven, Argo CD, Terraform, Helm charts, ISTIO, VSTS, Shell (bash), PowerShell, Redhat LINUX, Splunk, Datadog, CentOS, UNIX, JIRA, Snow. Client: Verizon | Aug 2022 Feb 2023 Role: Site Reliability Engineer (SRE) Responsibilities: Experienced in creating, Configuring and maintaining Infrastructure on AWS Cloud services including Virtual Private Cloud (VPC), EC2, RDS, S3, Route 53, SNS, CloudFront, CloudWatch and IAM. Experienced in creating complex IAM policies, Roles, and user management for delegated access within AWS. Worked with AWS S3 Initiation, created S3 buckets, and configured them with permissions, logging, versioning, and tagging and created new IAM users and groups, defined roles, policies and identify providers. Created EC2 instances in VPC and installed Applications. Worked on Identity Access Management. Created users, groups and assigned roles based on their duties. Responsible for design and maintenance of the Subversion/GITLAB, Stash Repositories, views, and the access control strategies. Collaborated to establish SLOs and SLIs, enhancing system reliability and cutting downtime by 30%. Assisted developers in implementing GIT branching conventions, integrated Qualys scanning into CI/CD pipelines enabling automatic vulnerability assessments of container images pre-deployment. Created, tested and deployed an end-to-end CI/CD pipeline for various applications using Jenkins as the main Integration server for Dev, QA, Staging and Prod environments. Configured Kafka components to optimize performance, reducing latency by 15%, and enhancing data integration for improved CI/CD. Applied software configuration management processes, set up and maintained TFS/Git infrastructure, and automated build and deployment processes enabling continuous delivery. Deploying cluster on AWS with Jenkins, Docker pipeline implementation. Configured AWS cloud IAC using terraform and continuous deployment through Jenkins and automated the cloud formation using Terraform. Used Microservices architecture, with Spring Boot based services interacting through a combination of REST and Spring Boot. Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of Nodes and Test Playbooks on AWS instances using Python. Implemented GitOps best practices using ArgoCD to automate the deployment and continuous delivery of applications. Implemented GitLab for version control of terraform modules and process documentation. Worked with Container management using Docker by writing Docker files and set up the automated build on Docker HUB and installed, configured Kubernetes. Implemented the application using Spring Boot Framework and handled the security using Spring Security. Implemented cluster services using Docker and Kubernetes to manage local deployments in Kubernetes by building a self-hosted Kubernetes cluster using Terraform and Ansible and deploying application containers. Pushed code to source control, Git and GitLab. Check code in and out of the Git repository. Implemented and improved monitoring and alerting systems using tools like Prometheus, Grafana, and ELK stack, ensuring proactive identification and resolution of performance issues, reducing downtime by 20%. Utilized and supported the use of GitLab Runners and Jenkins for Continuous Integration (CI) to implement CI. Utilized ServiceNow to streamline incident, change, and release management processes ensuring efficient communication, tracking, and controlled deployment of changes. Environment: AWS, Jenkins, GIT Lab, Ansible, Docker, Kubernetes, Terraform, Maven, Ant, Qualys, Packer, Python, Shell, DynamoDB, SNOW, Windows, Prometheus, Grafana, ELK, Git, SVN, Linux, Nexus. Client: Farmers Insurance | August 2020 to August 2021 Role: Azure/DevOps Engineer Responsibilities: Creating and maintaining containerized micro services and configuring/maintaining private container registry on Microsoft Azure for Hosting Images and using Windows Active Directory. Deployed and Maintained windows phone applications on Azure cloud technologies. Converted .Net application to Microsoft Azure Cloud Service Project as part of cloud deployment. Managed servers on the Microsoft Azure Platform Azure Virtual Machines instances using Ansible Configuration management and created Ansible Playbooks, tasks, and roles to automate system operations. Migrated on-premises servers to Azure VMs, storage accounts, availability sets; performed VM and disk encryption, security hardening. Successfully deployed and managed ArgoCD in an Azure cloud environment. Hands on experience on using Terraform along with packer to create custom machine images and automation tools like Chef/Ansible to install software after the infrastructure is provisioned. Worked with Terraform for automating VPCs, ELBs, security groups, SQS queues, S3 buckets, and continuing to replace the rest of our infrastructure. Worked with Docker and Kubernetes on multiple cloud providers, from helping developers build and containerize their application (CI/CD) to deploying either on public or private cloud. Created, managed, and performed container-based deployments using Docker images containing Middleware and Applications together and Evaluated Kubernetes for Docker container orchestration. Leveraged Kubernetes, Docker, and Jenkins to build CI/CD pipelines for automated build, test, and deployment of applications to Kubernetes clusters. Created, managed, and deployed Docker containers and images to virtualized platforms for containerizing multiple applications. Used Jenkins and pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes. Integrated GIT into Jenkins to automate the code check-out process used Jenkins for automating Builds and Automating Deployments. Developed PowerShell script to fetch necessary information from webpages according to the requirement and to automate routine tasks when applicable. Environment: Azure, Terraform, Chef, Ansible, Docker, Kubernetes, Jenkins, Git, Maven, Splunk, Nagios, Python Scripts, Kickstart, Java/J2EE, Linux. CLIENT: Walgreens | Sep 2016 Aug 2020 ROLE: Cloud Engineer Responsibilities: Implemented resilient systems with EC2, S3, VPC, Route 53, and containerized applications using Elastic Beanstalk ,ECS and Optimized data storage with S3, EBS, and Glacier. Experienced in utilizing Azure services like Virtual Machines, App Service, SQL Database, Functions, and Storage for building and managing scalable cloud solutions. Developed serverless applications with AWS Lambda. Integrated Git version control with Jenkins for CI/CD. Leveraged Jenkins for automation across build, test, release. Implemented project build frameworks with Jenkins and Maven. Integrated Git version control with Jenkins for CI/CD. Developed microservices onboarding tools with Python and Jenkins. Designed and managed public/private cloud infrastructures on AWS. Implemented VPC, subnets, security groups, load balancing. Enforced security best practices for IAM, encryption, network security. Automated infrastructure deployment with Jenkins, Terraform, Chef, Ansible. Configured Docker containers and orchestrated with Kubernetes. Environment: AWS, Azure, GIT, Docker, Jenkins, chef, Shell scripts, Python, UNIX/Linux, Terraform, Docker, Kubernetes PowerPoint. CLIENT: DTCC Financial services| July 2014 Aug 2016 ROLE: WebSphere Admin RESPONSIBILITIES: Installed and configured WebSphere Application Server across dev, test, production environments. Created profiles, clusters, nodes, datasources to support mission-critical applications. Maintained 99.9% uptime of dev/test environments. Upgraded infrastructure during maintenance windows with no unplanned downtime. Configured SSL certificates, caching, custom properties optimizing performance. Configured and administered Apache Tomcat servers on Linux for hosting Java web apps. Tuned JVM parameters and connectors for optimized performance. Troubleshot issues like out of memory errors. Installed and maintained Apache HTTP servers on CentOS. Configured virtual hosts, rewrite rules, proxies, load balancing, SSL certificates, access control. Optimized throughput and scalability via tuning, caching, compression. Monitored logs and server health. Quickly diagnosed and resolved WebSphere issues from thread dumps and logs. Implemented monitoring to proactively catch performance problems. Conducted post-incident reviews, suggested fixes to reduce recurring issues. Environment: IBM WebSphere App Server 7.0,6.1,6.0, IHS, Linux Red Hat, AIX, DB2, ISA, DB2, My Task, Hp and log manager. Keywords: continuous integration continuous deployment quality analyst message queue sthree database active directory hewlett packard