Sai Kumar's Location
Denton, Texas, United States, United States
About Sai Kumar
Sai Kumar is a DevOps Engineer.
Sai Kumar's Current Company Details
DevOps Engineer
Sai Kumar Work Experience Details
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Business AnalystUniversity Of North Texas May 2023 - May 2024Denton, Texas, United States• Helped council members and senates to achieve a fully integrated planning, budgeting, forecasting, and reporting solution that facilitated necessary investment and strategic choices and prepared them for future growth.• Collaborated with consultants and business analysts to help the graduate student council with budget forecasts using past data and resource allocation.• Accomplished Student Senator driven to positively impact constituents' lives by creating new legislation and removing outdated laws. Successful in building consensus for important policy changes, bills, and amendments. Smoothly handle procedural issues and public inquiries.Tools and Skills Utilized: SQL, Problem Solving, Business AnalysisResponsibilities• Evaluated government programs and budget allocations during oversight hearings to understand the business problem and gathered the requirements.• Coordinated with aides, researchers, and other staff members to stay informed on policy developments.• Identified where the key metrics needed for this report reside and pulled data into an excel report using SQL.• Brainstormed with the key councils and came up with an MVP BI solution and then iterated over it till we got the desired result. -
Devops EngineerTata Consultancy Services May 2022 - Jan 2023India• Ensured system health and performance by implementing monitoring and alerting solutions with ELK stack, Grafana, Prometheus, resulting in enhanced performance. • Focused on quality assurance by collaborating with development teams to integrate automated testing processes into CI/CD pipelines, ensuring continuous quality assurance. • Maintained code integrity and collaboration standards by working on version control systems like Git, ensuring proper branching, merging, and code review processes. • Evaluated and implemented new technologies using artificial intelligence, machine learning, block chain technologies to enhance the efficiency and effectiveness of DevOps processes, cloud computing, emphasizing innovation and continuous improvement.• Worked on Azure Cloud services, Azure Storage, Azure Active Directory, Azure Service Bus, and Azure Kubernetes. Create and manage AD Tenants and configure application integration with Azure AD.• Responsible to configure alert notification to monitor CPU metrics, VM health’s and event logs.• Configured Azure AppInsights for monitoring and troubleshooting Azure resources.• Involved in developing the staging and production system Test Design, especially for reliable, scalable.• Understood and verifying the applications changes to be made for Sprint Planning.• Involved in DevOps implementation of Microsoft Azure Cloud services.• Built Monitoring and Alerting Strategy required for Applications and Infrastructure.• Actively Participated in supporting/troubleshooting in a production support environment.• Measured and optimized system performance applying Site Reliability Engineer (SRE) Principles and manage QA and production deployments for many applications.• Worked with Bitbucket to manage source code repositories and performed branching, merging, and tagging depending on requirement.• Worked on deployment of several .Net and Java applications using CI/CD tools like Jenkins, Chef in Clustered Environment. -
Devops EngineerHcl-Technologies Jan 2020 - Apr 2022India• Worked on Google Cloud Platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring and cloud deployment manager.• Building/Maintaining Docker container clusters managed by Kubernetes, Linux, Bash, GIT, Docker on GCP. Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.• Worked with Terraform Templates to automate the Azure las virtual machines using terraform modules and deployed virtual machine scale sets in production environment.• Used Chef for configuration management of hosted Instances within GCP. Configuring and Networking of Virtual Private Cloud (VPC).• Management and design of integrated build pipelines using continuous integration and continuous development workflows such as Jira, Git, Jenkins, and Chef.• Familiar in Migrating the Legacy application into GCP platform and managing the GCP services such as Compute Engine, Cloud Storage, Big Query, VPC, Stack Drive, Load Balancing and IAM.• Created Splunk searches and views to assist in monitoring site traffic. Monitor web site performance using Splunk, Nagios, CloudWatch and Instance level metrics.• Worked on installing, configuring, and managing Docker Containers, Docker Images for Web Servers and Applications and Implemented Docker - maven-plugin in and maven to build Docker images for all Micro services and later used Docker file to build the Docker images from the Java jar files.• Implemented multi-tier application provisioning in open stack cloud, integrating it with Puppet, migrating the application using Maven as build tool.• Worked Extensively on building and maintaining clusters managed by Kubernetes, Linux, Bash, GIT, Docker, on GCP (Google Cloud Platform).• Developed webpage for Server Build Automation, allowing users to request server builds and monitor the status passing through each build station. Used .Net, Java, My SQL, to achieve server inventory.
Frequently Asked Questions about Sai Kumar
What is Sai Kumar's role at the current company?
Sai Kumar's current role is DevOps Engineer.
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