Veera Thottempudi
*****************@*****.*** 571-***-****
PROFILE SUMMARY
Highly accomplished Senior DevOps/DevSecOps Engineer with overall 10+ years of experience in IT industry, out of which 6+ years of experience in DevOps in designing, implementing, and managing cloud-based infrastructure and DevOps practices and 4 years of experience as Linux Administrator. Strong expertise in cloud platforms such as AWS, Azure, and proficient in automation tools including Terraform, Ansible and Jenkins and Containerization tools like Docker and Kubernetes.
Technical expertise in facilitating Cloud Infrastructure Management for entire org, Experienced in Amazon Web Services like Elastic Cloud Compute (EC2), Auto Scaling, Elastic Kubernetes Service, ECS, ECR, AWS S3, Glacier, Elastic Block Storage (EBS), Virtual Private Cloud (VPC), Route 53, Identity and Access Management (IAM), Amazon RDS, Cloud Watch, Cloud Formation, SQS, Redshift, AWS glue, API Gateway.
Hands-on experience in Azure Virtual Machines, Azure Functions, Azure Container Registry (ACR), Azure Kubernetes Service (AKS), Azure Blob Storage, Azure Files, Azure Queue Storage, Azure Table Storage, Azure Virtual Network, Azure Load Balancer, Azure Application Gateway, Azure Traffic Manager, Azure SQL Database, Azure Cosmos DB, Azure Database for MySQL, Azure Database for PostgreSQL.
Managed and administered Azure Active Directory (Azure AD) to ensure secure and efficient user authentication and access control across the organization's cloud resources.
Involved in various AWS networking and content delivery systems like Route 53, Direct Connect, VPC peering and management tools like CloudWatch, Athena and CloudTrail.
Managed environments DEV, QA, UAT and PROD for various releases and managed using Blue-Green and Canary deployment strategies.
Administrating and supporting Azure Kubernetes infrastructure, ensuring it is secure, resilient and performance and responsible for complete DevOps activities and coordinating with development team.
Expertise in Deploying Microservice Containers into Kubernetes using HELM Charts and Setting up Istio Service Mesh in K8’s.
Experience in configuring and managing the Kubernetes Clusters to Deploy, Scale, Load Balance and manage Containers which includes creation of Pods, ReplicaSet, Labels, Deployments, Services, Ingress, ConfigMap, Secret and Health Checks using Liveness Probe, Readiness Probe by writing YAML Scripts.
Experience on complete Software Development Life Cycle (SDLC) with software development models like Agile, Scrum Model, and Jira. Experience in a large software development program using Agile SAFe development methodology.
Experience in writing Infrastructure as a code (IaC) in Terraform, Azure resource management, AWS CloudFormation. Created reusable Terraform modules in both Azure and AWS cloud environments.
Expertise in using CloudFormation and Terraform for deploying Cloud Infrastructure in AWS.
Worked on Container management using Docker by writing Docker files and set up the automated build on Docker and installing and configuring Kubernetes.
Experience in setting up and maintaining entire CI/CD pipeline using tools like Jenkins and Azure DevOps pipeline.
Experience in Windows/ Linux Administration (Installation, Configuration and Upgrades of Linux (RedHat, Centos, Ubuntu).
Well versed in using Azure Infrastructure as a Service (IaaS), Provisioning VMs, Virtual Networks, Deploying Web Apps, Microsoft SQL Server using Terraform/ARM Templates and Azure DevOps CI/CD pipelines.
Designing, deploying, and migrating secure and maintainable systems for Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) environments.
Configuration Management using Ansible (writing ad-hoc queries and play books).
Worked with Ansible Playbooks for virtual and physical instance provisioning, Configuration management, patching, and software deployment.
Used Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploy critical applications, and proactively manage changes.
Implemented a CI/CD pipeline using Azure DevOps pipelines, GitHub Actions and Jenkins in both cloud with Git, Docker, Maven along with Jenkins’s plugins.
Experience in designing and managing Kubernetes clusters on Azure, implementing features such as auto-scaling, self-healing, and rolling updates to ensure high availability of applications.
Designed, implemented, and managed containerized application platforms using OpenShift, including cluster setup, deployment, and maintenance.
Designed and implemented DevOps pipeline for Java, Python, and .NET applications. Experience in application server maintenance and J2EE application deployment in application servers like Apache Tomcat, IBM WebSphere, and Oracle Web Logic.
Hands-on in using OpenShift for container orchestration with Kubernetes, container storage, automation, to enhance container platform multi-tenancy.
Proficient in monitoring and logging tools such as Azure Monitor, Azure App Insights, CloudWatch, New Relic, Prometheus, and Grafana to provide real-time visibility into application performance and health.
Experience in Monitoring server performance with tools like Nagios, Splunk, Dynatrace, Datadog.
Experience in Core java concepts like collection Frameworks, Multi-threading, Serialization.
Implemented the microservices architecture based on RESTful API using Spring Boot with Spring MVC.
Expert in writing scripts like Power Shell, YAML, Bash/Shell, Python for automating the build and release process.
Conducted secure code reviews using Azure DevOps and AWS Code Commit, leveraging SAST tools like SonarQube, Checkmarx, and Veracode scan to identify and mitigate security vulnerabilities.
Skilled in defining code quality gates and quality thresholds in SonarQube, enabling automated code reviews, and enforcing coding standards across projects.
Implemented and managed cloud-based infrastructure for DAST, utilizing tools such as OWASP ZAP, Burp Suite.
EDUCATION
B. Tech, Information Technology, JNTUK, India, 2011.
TECHNICAL SKILLS
Cloud Platforms
Microsoft Azure, AWS, GCP.
AWS Services
EC2, VPC, IAM, SMS, EBS, S3, ELB, Auto Scaling, SQS, SNS, Redshift, AWS Glue, EKS, ECR, AWS CLI, Elastic Cache, API Gateway, Route 53, AWS Database Migration Service (DMS), AWS Application Migration Service (AMS), ACM, KMS.
Azure Services
App Service, Key Vault, Function App, Blob Storage, Azure Active Directory (Azure AD), Service Bus, Azure Container Registry (ACR) and Azure Kubernetes service (AKS), Azure SQL, Azure Cosmos DB, Azure Data Factory, Azure Databricks, Azure Data Lake.
Infrastructure as Code (IAC)
Terraform, AWS CloudFormation, Azure Resource Manager (ARM) Templates.
Source Code Management
SVN, Git, GitHub, GitLab, Bitbucket, Azure Repos and AWS CodeCommit.
Build tools
Ant & Maven, Gradle, npm, MSBuild.
CI/CD
Jenkins, Azure DevOps Pipelines, GitHub Actions, GitOps, Argo CD
Artifactory
Jfrog and Nexus
Code Scanning
SonarQube, Jfrog X ray, ECR Inspector.
Container Orchestration
Docker, Kubernetes, Open-Shift and Helm, EKS, AKS.
Configuration Management Tools
Ansible, Chef, and Puppet.
Web Servers
Nginx, Tomcat, Microsoft Internet Information Services (IIS).
Application Servers
JBoss, Oracle WebLogic Server, IBM Web Sphere Application Server.
Logging
Cloud Watch, Cloud Trail, Azure App Insights, Azure Monitor.
Monitoring Tools
Nagios, Splunk, Grafana, Prometheus, ELK, New Relic, Datadog, Dynatrace.
Databases
Amazon RDS, Amazon DynamoDB, Amazon Aurora, Amazon Redshift, Azure Cosmos DB, Cassandra, Azure MySQL, Azure PostgreSQL.
Scripting Language
Python, PowerShell, Groovy, Bash, Yaml.
Documentation
Confluence
Bug Tracking
Jira, Remedy & ServiceNow.
Operating Systems
Microsoft Windows and Linux.
Programming Languages
C, C++, Java, Go lang.
EXPERIENCE
HCL Technologies Sep 2022 to till now.
Senior DevOps Engineer
I am part of Centre of Excellence (COE) team, we work on centralizing Kubernetes Cluster Maintenance and Infrastructure Automation writing Terraform Modules and Data Pipelines Management using Azure Data Factory and Databricks.
Demonstrated a deep understanding of Azure Landing Zone design capabilities, orchestrating the setup of multiple Azure subscriptions to encompass policy enforcement, billing, connectivity, identity management, and DevOps integration.
Led the design and implementation of an Azure Landing Zone architecture using Terraform, enabling efficient provisioning, configuration, and ongoing management of Microsoft Azure resources.
Led planning and execution of successful Lift & Shift migrations of on-premises workloads to Azure, ensuring minimal downtime and adherence to project timelines.
Successfully integrated IaC deployments into Azure DevOps pipelines, enabling streamlined development workflows, automated testing, and continuous deployment practices.
Worked on Microsoft Azure Cloud (Public) to give IaaS support to customer. Make Virtual Machines through Power Shell Script and Azure Portal. Overseen and Created Storage Account and Affinity Group in Azure Portal.
Dealt with Windows Azure IaaS - Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, Traffic Manager, VPN, Load Balancing, Application Gateways, Auto-Scaling. Exposed Virtual machines and cloud services in the VNets (Virtual Networks) to the Internet using Azure External Load Balancer.
Established cloud governance implementing ARM, infrastructure-as-code, RBAC, policies, Azure Monitor logging, and security controls. Migrated and optimized workloads while hardening the cloud environment.
Managed Azure Security groups using Azure Portal and PowerShell scripts and attached them to VM’s and Subnets.
Set up hosted and self-hosted agents to run pipelines, balancing speed, and security. Scaled up self-hosted agents to handle increased load.
Led implementation of Azure Active Directory for single sign on, authentication, authorization, and Azure Role-based Access Control (RBAC).
Created subscription, Storage Account and tables using Windows PowerShell using automation in Azure.
Working with Azure Service Fabric, exclusively to create microservice application, used Stateful partitions with named service and secondary replicas for scalability and availability. Ability to write Shell & Perl scripting.
Code repository management, code merge and quality checks with Bitbucket.
Configured Azure Pipelines to automate builds and testing using YAML pipelines for .NET, Python, and Node.js applications. Set up triggers to kick off pipelines on every commit.
Implemented multi-stage build processes using Docker containers to create optimized and reproducible builds. Used Docker caching to speed up builds.
Created deployment pipelines to automatically deploy applications to dev, test, and production environments upon successful builds and tests.
Implemented gated check-ins policies using branch policies to enforce quality. Configured pipelines to run on every PR.
Used pipeline artifacts and Azure Artifact feeds to share outputs between pipelines and teams.
Implemented integration between Azure Boards and Repos to connect code commits to work items and requirements.
Used ANT and MAVEN as a build tool on java projects for the development of build artifacts on the source.
Proficient in interpreting SonarQube analysis reports to identify areas of improvement, prioritize technical debt, and guide code refactoring efforts to enhance overall code quality.
Created and managed pods. Migrated the Micro Service Based applications from Virtual Machines to Docker containers and docker registry.
Worked on Setting up Kubernetes Cluster deployed microservices, setting up nginx ingress controller, Istio service mesh and upgrading Kubernetes version periodically.
Implemented Pod security policies (PSP) in AKS for required best practices and the ability to control what pods to be controlled, scheduled in AKS cluster prevents some possible security vulnerabilities or privilege Escalations.
Designed and deployed containerized applications on AKS using Docker images built with Azure Container Registry (ACR). Automated deployments using CI/CD pipelines.
Leveraged Kubernetes concepts like Pods, Deployments, Services, Ingresses and Horizontal Pod Autoscaling for application management and availability.
Implemented Kubernetes service principle, namespaces, RBAC and network policies for access control, security, and multi-tenancy.
Integrated Azure services like Azure Disks, Files and Blob Storage with AKS for application persistent storage.
Automated Kubernetes manifest deployments using Helm charts. Created custom charts for application stacks. Managed releases.
Implemented domain name-based routing for Ingress resources using External DNS, improving application routing and management.
Provided reliable storage for stateful applications by implementing Persistent Volumes (PVs) and Persistent Volume Claims (PVCs) on Kubernetes.
Worked on OpenShift for container orchestration with Kubernetes container storage, automation to enhance container platform multi-tenancy also worked on Kubernetes architecture and design troubleshooting issues and multi-regional deployment models and patterns for large-scale applications.
Implemented HTTPS Ingress controller and use TLS certificate on AKS to provide reverse proxy, configurable traffic routing for individual Kubernetes services.
Implemented Network Policies for Ingress/Egress Rules and setup namespaces and resource quotas.
Hands-on Experience in creating Azure Key Vaults to hold Certificates and Secrets, designing Inbound and Outbound traffic rules, and linking them with Subnets and Network Interfaces to filter traffic to and from Azure Resources.
Designed and implemented data integration workflows using Azure Data Factory (ADF), enabling efficient extraction, transformation, and loading (ETL) processes.
Developed Terraform scripts to build, change and version infrastructure as code.
Worked with Terraform Templates to automate the Azure Iaas virtual machines using terraform modules and deployed virtual machine scale sets in production environment.
Implemented ARM templates to automate the provisioning of Azure resources, reducing manual effort and promoting infrastructure scalability.
Developed automation of Kubernetes clusters with Ansible, writing playbooks with YAML Scripting. Used Ansible and Ansible Tower as configuration management tool to automate repetitive tasks, patching and software deployment.
Managed open-source security vulnerabilities throughout the SDLC using WhiteSource Bolt—automated identification, scanning, and remediation while meeting license compliance.
Data from On-Premises SQL Database servers to Azure SQL Database servers was sent by designing the Azure Data Factory Pipelines using the Azure Data Factory Copy tool and Self-Hosted Runtimes.
Implemented Azure Cache for Redis with high availability for sub-millisecond latency caching and message brokering between stream processors.
Developed and maintained continuous integration and deployment systems using ANT, Maven, Gradle, JUnit, Selenium, SonarQube, Jfrog, and Nexus.
Built and deployed Java (Maven), Node.js, UI, and PHP applications on GKE using Jenkins CI/CD pipelines, automating the deployment process.
Applied knowledge of ITIL processes, including incident, change, and release management, to maintain service quality and compliance.
Led efforts to integrate Istio with CI/CD pipelines, CI/CD concepts and tools like Jenkins, GitLab, and AWS Code Pipeline.
Experience in Atlassian products including Jira, Bamboo, and Bitbucket, alongside other tools like Octopus, to streamline DevSecOps processes.
Worked on Azure Sentinel for security information and event management (SIEM), enabling real-time security monitoring, threat detection, and incident response across Azure workloads.
Scanned container images hosted in Azure Container Registry for OS and application vulnerabilities using Twistlock, Snyk, and Trivy.
Successfully implemented end-to-end SSL/TLS encryption for a high-traffic web application and integrated OpenSSL to generate and manage SSL certificates and Single Sign-On (SSO) Implementation.
Proficient in implementing and configuring Service Mesh solutions like Istio to enhance communication, security, and observability between microservices.
Implemented Istio security features, such as mutual TLS (mTLS) authentication and role-based access control (RBAC), strengthening the security posture of microservices and mitigating potential vulnerabilities.
Created subscription, Storage Account and tables using Windows PowerShell using automation in Azure.
Facilitated security audits and compliance assessments, ensuring adherence to industry standards PCI DSS, and HIPAA.
Managed Azure Security groups using Azure Portal and PowerShell scripts and attached them to VM’s and Subnets.
Proficient in implementing and managing monitoring solutions using Prometheus, Grafana, Telemetry, and New Relic. Utilized Prometheus for metrics collection, Grafana for intuitive dashboards, and New Relic for application performance monitoring.
Implemented standards for OAuth 2.0, JWT, encryption to secure APIs.
Worked on remediating API vulnerabilities like SQL injection, insecure deserialization, broken auth.
Coordinated with the Project Management, Development and QA Team in resolving any configuration and deployment issues to provide smooth release process.
Automated the creation of CI/CD pipelines in Jenkins for seamless transitions from Dev to UAT and production environments.
Experience integration of Kafka with Spark for real time data processing.
Configured monitoring using tools like New Relic and Datadog to proactively identify and address issues.
Collaborated with Infra, security, and networking teams to resolve firewall and port issues in the cloud environment.
Strong understanding on client -side frameworks Angular 4.x for attaining architectural design flow of MVC.
Experienced in GitOps configuration using Argo CD, implementing declarative workflows to automate application deployment and management in AKS.
Hands on experience with GCP services like IAM, Security, Networking, GKE, Cloud Run, Compute Engine, Cloud Functions, Cloud Storage Bucket, Cloud Scheduler, Cloud Monitoring etc.
Environments: Git, GitHub, Azure App Services, Azure Application Insights, Azure Application Gateway, Azure DNS, Azure Security groups, Azure Functions, Active Directory (AD) services, Bitbucket, Docker, Jenkins, SonarQube, private container registry, Docker, OpenShift, Kubernetes, Terraform, Ansible, Azure Data Factory, Prometheus, Grafana, New Relic, Azure Synapse Analytics, Azure Cache, Istio, Bamboo, GCP, AWS, GKE, Telemetry,
Thomson Reuters, Dallas Jun 2019 to Jan 2021
DevOps Engineer/SRE
Migrated the current Linux environment to AWS/RHEL Linux environment and used auto scaling feature and involved in Remediation and patching of Unix/Linux Servers.
Configured and managed Cloud Infrastructure in AWS including EC2, Route53, S3, RDS, Lambda, EFS, S3 Glacier, Resource Access Manager, IAM, Cloud Front, Cloud Watch, Elastic Load Balancer, Security Group, focusing on Auto scaling and high - availability.
Used IAM services to create new IAM user, groups, roles, policies, and identity provider, as well as assigning least privilege.
Used GIT as SCM in branching, tagging, and maintaining the versions across the environments and used for recovering files, saving changes for later (Stash), creating tags, viewing logs etc.
Created and configured GitHub Actions workflows to automate application builds for Java, .NET, and Progress applications, enabling seamless continuous integration across multiple technology stacks.
Worked in all areas of Jenkins setting up CI for new branches, building automation, plugin management and securing Jenkins, and setting up master/slave configurations.
Built scripts using Maven in Jenkins and SonarQube for continuous delivery through Deployment from one environment to another environment. Deployed applications into PROD & Pre-Prod environments with various Web-Application servers like JBoss & Apache Tomcat.
Developed and maintained continuous integration and deployment systems using ANT, Maven, Gradle, JUnit, Selenium, SonarQube, Jfrog, and Nexus.
REST API and serverless development using Node.js on AWS Lambda, SQS, SNS, SES and API Gateway.
Leveraged Boto3, the Python SDK, to build scalable and secure applications on AWS.
Used Boto3 for programmatic access to AWS services like EC2, S3, and DynamoDB from Python code.
Container builds/deployments using Multi-Stage Docker files, Docker Compose and Docker Swarm stacks.
Implemented a production ready, load balanced, highly available, and fault tolerant Kubernetes infrastructure.
Worked on Kubernetes to manage containerized applications using its nodes, ConfigMaps, selector services and deployed application containers as Pods.
Managed Clusters using Kubernetes and worked on creating many pods, replication controllers, services, deployments, labels, health checks.
Design, build, secure and manage clusters/workloads running on self-managed Kubernetes (Kops), Amazon EKS (Amazon Kubernetes Service), Amazon ECS and AWS Fargate.
Implemented deployments into AWS EC2 instance using Terraform and managed, maintained added plugins to support new functionalities of Terraform.
Worked on Terraform for managing the infrastructure through the terminal sessions and executing the scripts for creating alarms and notifications for EC2 instances using Cloud Watch.
Migrated Containers running at On-Prem OpenShift cluster to EKS Cluster by writing HELM Charts and Integrated with Jenkins.
Proficient in utilizing the Terratest framework to automate testing and validation for Terraform infrastructure deployments, ensuring correctness and stability, thereby enhancing reliability and efficiency.
Experienced in effectively managing Terraform state files to maintain infrastructure-as-code consistency, ensuring proper tracking, version control, and collaboration across teams, contributing to streamlined and efficient deployment workflows.
Used Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, and proactively manages change.
Configured and managed S3 versioning and lifecycle policies to backup files and used Glaciers to Archive data.
Deployed OpenShift Infrastructure Through Terraform and configured the Master Nodes, Infrastructure Nodes, and application nodes.
Implemented centralized container logging and monitoring using CloudWatch, Prometheus, Grafana.
Design, build and manage the ELK (Elasticsearch, Logstash, and Kibana) cluster for centralized logging and search functionalities for the App.
For better caching of images, implemented Amazon CDN (Content Delivery Network) using Cloud Front to deliver data with less latency and high performance.
Setting up Jenkins Credentials with AWS Secrets Manager for storing Application configuration data all App Settings changes.
Written Lambda functions in Python for AWS Lambda, Kinesis, and Elastic Search, which invokes Python and Bash Shell scripts to perform various transformations and analytics on large data sets in EMS clusters.
Developed Kinesis data producers and consumers using Kinesis Client Library (KCL) for high throughput data ingestion and processing.
Configured Kinesis streams for automatic scaling, redundancy, and durability to handle large streaming workloads.
Solution, migrate and support SQL and NoSQL databases/caches in the cloud, including MongoDB, PostgreSQL, Redis, MySQL, Amazon RDS, AWS DynamoDB, and Amazon Aurora
Boosted database performance through indexing, query analysis, and partitioning. Reduced latency and optimized speed for business-critical workloads.
Orchestrated smooth migration of production databases to Amazon Aurora. Minimized downtime and ensured data integrity during cutover.
Scaled Aurora read capacity on demand through configuring read replicas. Ensured high throughput during traffic spikes.
Developed backup policies and procedures for point-in-time recovery. Met RTO and RPO objectives for disaster recovery.
Skilled in Java programming, capable of reading and understanding code to troubleshoot issues and implement enhancements.
Collaborated with development teams to optimize Java applications for containerized deployments.
Worked with Python Flask Framework for Building Rest APIs and Deploy them by containerizing.
Automated API penetration testing, integrating tools like OWASP ZAP and Burp into CI/CD pipelines.
Solution and implement object storage using AWS S3, CloudFront, Akamai, and Cloudflare
Used Jira for defect/issues logging & tracking and documented all work using Confluence.
Environments: Git, GitHub, GitHub actions, Jenkins, Maven, Gradle, Selenium, SonarQube, Jfrog, Nexus, Kubernetes, EKS, ECR, Lambda, AWS Fargate, AWS ECS, Apache Tomcat, MySQL, JIRA, Aws Cloud, AWS Cloud Watch, Amazon Kinesis, Amazon Aurora, API Gateway, OWASP ZAP, Python, Java.
Fox Corporation – New York, NY, USA Apr 2017 to May 2019
Site Reliability Engineer
Hands-on experience in Azure Virtual Machines, Azure Functions, Azure Container Registry (ACR), Azure Kubernetes Service (AKS), Azure Blob Storage, Azure Files, Function Apps, Azure Table Storage, Azure Virtual Network, Azure Load Balancer, Azure Application Gateway, Azure Traffic Manager, Azure SQL Database, Azure Cosmos DB, Azure Database for MySQL, Azure Database for PostgreSQL.
Managed and administered Azure Active Directory (Azure AD) to ensure secure and efficient user authentication and access control across the organization's cloud resources.
Developed and implemented best practices and standards for OpenShift and Kubernetes architecture, deployment, and configuration management, resulting in consistent and reliable deployments.
Expertise in integrating Jira, Maven, SonarQube, Terraform and test tools integration with Jenkins.
Involved in designing, implementing, and maintaining infrastructure and deployment pipeline for containerized applications on AKS using HELM charts.
Implemented Terraform scripts for creating and managing Azure Kubernetes clusters.
Hands-on experience in defining Deployment, ReplicaSet, Pod, namespace, and service objects in Kubernetes.
Responsible for Azure Container Registry and Azure Active Directory (Azure AD) to securely manage container images and access control for AKS clusters.
Implemented RBAC policies in Kubernetes clusters by defining RBAC roles and role bindings to grant appropriate permissions and access levels to users or service accounts in the AKS cluster.
Configured and installed Prometheus and Grafana using HELM charts within an AKS cluster for monitoring and visualization of Kubernetes workloads.
Designed and implemented secure networking architecture for Azure services by leveraging Azure Private Endpoints in the virtual network.
Implemented and managed Azure services like App Service, Azure SQL, Blob Storage, Key Vault, web apps, Virtual machines, Virtual Networks.
Configured private endpoints for Azure services, such as Azure Storage and Azure SQL Database, to restrict access to resources from within the virtual network only.
Configured and managed the New Relic monitoring agents, setting up custom dashboards and alerts, and monitoring application performance metrics to ensure application availability.
Monitoring and troubleshooting Kubernetes clusters using Prometheus Grafana.
Extensive involvement in Azure Backup, Azure Policies, Azure Key Vault.
Strong Experience in Maintaining Website stability and Ensure Website Availability 24/7, Expertise in incident/problem handling.
Strong understanding of support processes – handling tickets, monitoring, processes, and metrics.
Experience in understanding complicated application/data issues and worked to fix the problem.
Experience in monitoring Jobs as well as performance tuning job abend.
Generate & Analyze performance reports using Splunk, Kibana, Graphite/Grafana, Dynatrace that monitors and captures key pain-points in operation of the website and backend processing by analyzing application performance like JVM, Thread Utilization, application load and scheduler jobs that helped to identify and solve site abnormalities.
Strong experience in design, development load test script and maintenance of infrastructure for cloud-based web applications.
Creating and executing load test scripts and analyzing test results for client and application side metrics and providing recommendation to dev team and improving latency issues.
Organizing RCA, BPM (Blameless Postmortem) and KPI meetings.
Drive standardization in pager duty alerts by reducing noise and faster MTTR and MTTA responses promised. Enabling enhanced monitoring, dashboarding and engineering the teams for customer success.
Involved in Disaster Recovery activity and identified the RTO (interruption of service and restoration of service) and RPO (Acceptable loss of data between the last recovery point and the interruption of service)
Resiliency tests are performed on production environments, before go-live to ensure application meets SLA, SLO, SLI needs.
Worked on installing OpenShift-logging operator on the cluster to get the logs for application, audit, and infrastructure in Kibana.
Experience with working on ArgoCD and GitOps and synch up changes on the respective OpenShift cluster.
Worked on installing OADP operator on the OpenShift clusters for backup and restore of the projects and store them in the S3 Bucket.
Worked on Observability to gather cluster metrics, logs of the