Summary
Overview
Work History
Education
Skills
Timeline
Generic

Jprakash. K

DevOps Engineer / Site Reliability Engineere
Irving,TX

Summary

Certified Cloud Engineer and passionate IT professional with a keen focus on product development and software services. Equipped with extensive expertise in system administration, configuration management, continuous integration (CI), continuous deployment, release management, and cloud implementations. As a dynamic Terraform Certified Associate, I am deeply committed to infrastructure as code principles and automation practices. Proficient in architecting, implementing, and overseeing cloud infrastructure utilizing Terraform, AWS, GCP, and Azure. Combining technical acumen with a drive for innovation, I excel in delivering scalable, reliable, and efficient cloud solutions to meet organizational objectives.

Professional engineer with strong foundation in system reliability and optimization. Known for delivering robust solutions that enhance system performance and reduce downtime. Collaborative team player focused on achieving results and adapting to changing environments. Skilled in automation, incident management, and continuous improvement.

Driven and analytical problem-solver with knack for maintaining and enhancing system reliability in dynamic environments. Possesses robust understanding of cloud computing and software development, coupled with proficiency in scripting and automation. Committed to leveraging skills to optimize system performance and ensure seamless user experiences.

Overview

10
10
years of professional experience

Work History

Site Reliability Engineer

3e
04.2024 - Current
  • Implemented Azure Log Analytics to monitor, store, and analyze log files from Azure VMs
  • Utilized Terraform for infrastructure management across Cloud, VMware, and Docker environments
  • Administrating and supporting company's AZURE Kubernetes infrastructure, ensuring it is secure, resilient and performance and responsible for complete DevOps activities and coordinating with development team
  • Preferable Azure by creating multilevel hybrid pipeline of CI & CD helped clients to achieve Kubernetes platform
  • Automated application builds, testing, and deployments using Harness in combination with GitHub Actions AND Azure DevOps
  • Implemented containerization technologies using Docker and Kubernetes on Azure Cloud
  • Automated the deployment of application containers to Azure Kubernetes Service (AKS) clusters
  • Writes custom code or scripts to automate infrastructure, monitoring services, and test cases
  • Created dashboards, logging, alerting, and responses using Splunk, Dynatrace, ELK, and Google Analytics to ensure issues are captured and addressed proactively, while leveraging data analysis for performance insights
  • Deployed and managed Apache Kafka clusters, including setup, configuration, and scaling to ensure high availability and performance
  • Assist application teams with CyberArk application Identity Manager Integrations and linked accounts
  • Troubleshooting and maintenance of the CyberArk Password Vault, Central Password Manager (CPM), Privileged Session Manager (PSM), DR Vault in DR Server
  • Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, and message processing
  • Utilized Neo4j's visualization tools to create intuitive, interactive graph representations of data for analysis and reporting, enhancing insights with Power BI for comprehensive data visualization
  • Worked in highly collaborative operations team to streamline the process of implementing security Confidential Azure cloud environment and introduced best practices for remediation
  • Understand the latest features like (Azure DevOps, OMS, NSG Rules, etc..,) introduced by Microsoft Azure and utilized it for existing business applications
  • Creating, validating, and reviewing solutions and effort estimate of converting existing workloads from classic to ARM based Azure Cloud Environment
  • Migrated existing Java applications and outgoing proxy servers from on-prem/ VM based to micro services applications in Azure
  • Developed automation system using PowerShell scripts and JSON templates to remediate the Azure services
  • Managed Oracle databases, including installation, configuration, performance tuning, and backup and recovery
  • Extensive experience with Azure Cloud Services, including PaaS and IaaS, Web Apps, Logic Apps, Active Directory, Azure Monitoring, Storage, Data Factory, Key Vault, Traffic Manager, Application Insights, OMS, Service Bus, Visual Studio Online (VSO), Cognitive Services, and SQL Azure
  • Created builds and release pipelines in VSTS and done deployments using SPN (secure endpoint connection) for implementing CI/CD
  • Implemented automation for deployments by using YAML scripts for massive builds and releases
  • Expertise in Microsoft Azure Cloud Services such as Function App, App service, AKS, Container instance, Logic App, Cosmos DB, Azure Blob Storage, Azure DevOps, Cognitive Services (Form Recognizer, Computer vision, Language Service, Azure Monitoring, Key Vault
  • Developed Logical Technical Architecture (LTA) diagrams using Microsoft Visio
  • Utilized tools such as Visual Studio Community Edition, Visual Studio Code, PowerShell ISE, and SQL Server Management Studio
  • Integrated Neo4j with other systems and applications using REST APIs and Java/JavaScript drivers, ensuring seamless data flow and consistency
  • Wrote shell scripts to handle server processing migrating applications from .Net to Python monitoring applications and server performance with Spunk and Jenkins
  • Developed applications and methods with Python for EL, writing and reviewing code for server-side Python applications
  • Developed dashboards, logging, alerting, and response mechanisms using Splunk, Dynatrace, and ELK Stack to proactively capture and address issues, leveraging Power BI for enhanced data visualization and reporting
  • Conducted a proof of concept (POC) for implementing a continuous deployment pipeline using Jenkins, including configuring Jenkins workflows on Kubernetes
  • Developed applications and methods using Python for EL (Extract, Load), including writing and reviewing server-side Python code
  • Experienced with the CyberArk Privileged Account Security product suite, including Enterprise, Password Vault, Password Vault Web Access, Central Policy Manager, and Privileged Session Manager
  • Assisted with the configuration of Cloud Compute systems using OpenStack on Ubuntu, including orchestration with Keystone and Kubernetes, as well as other functions within the OpenStack environment
  • Designed Naming Convention for Safes, Accounts, Platforms according to the organizational standards and a feasible model for administration and operations
  • Configured Duo MFA for CyberArk 2 Factor Authentication
  • Responsible for Configuring Kafka Consumer and Producer metrics to visualize the Kafka System performance and monitoring
  • Utilized Jenkins to implement continuous integration and deployment processes for Tomcat and WebLogic application servers
  • Managed source code in Git and GitHub repositories, ensuring version control and collaboration
  • Implemented release schedules, communicated release status, created rollout plans, and tracked project milestones.

Site Reliability Engineer

Centene Corporation
05.2022 - 03.2024
  • Leveraged containerization technologies such as Docker and Kubernetes to optimize system deployments and streamline operational processes, incorporating Google Analytics for performance monitoring
  • Collaborated with cross-functional teams to design and implement Infrastructure as Code (IaC) solutions using object-oriented programming and configuration management DSL
  • Implemented infrastructure on AWS and Azure Cloud platforms, including migration of existing Linux and Windows-based infrastructure, automated using Terraform and CloudFormation Templates while analyzing performance metrics with Power BI
  • Managed Kubernetes charts using Helm, creating reproducible builds of Kubernetes applications, and managing releases of Helm packages
  • Built and maintained platform services to accelerate innovation in reliability, scalability, and velocity
  • Implemented CI/CD pipelines using Azure DevOps and GitLab CI/CD to automate deployment processes, ensuring rapid delivery and continuous integration of software, , supported by performance insights from Google Analytics
  • Integrated Harness with Terraform, Kubernetes (EKS), Helm, and CloudFormation for Infrastructure as Code (IaC)-driven deployments
  • Managed infrastructure deployment using GitLab CI/CD integrated with Terraform, streamlining the provisioning process
  • Designed and implemented automated machine learning (ML) pipelines using tools like Apache Airflow and Kubeflow, streamlining the process from data ingestion to model deployment, with results visualized in Power BI
  • Integrated HashiCorp Vault for secrets management and encryption, ensuring secure handling of sensitive data
  • Developed AWS Lambda functions using Python to automate tasks and enhance system functionalities
  • Managed AWS resources and services, including EC2 instances, S3 buckets, RDS databases, and Lambda functions, with performance metrics analyzed through Power BI
  • Automated cluster provisioning and deployment processes using Rancher’s built-in tools and integrations with CI/CD pipelines
  • Integrated Harness with Prometheus and Splunk for real-time monitoring and alerting
  • Leveraged tools like NuGet for dependency management and SonarQube for code quality analysis, ensuring a maintainable and secure codebase
  • Developed AI models to correlate log events and incidents, enabling proactive detection and resolution of issues in IT operations
  • Managed infrastructure as code using Ansible, Git, and CI/CD pipelines, ensuring version control and traceability of changes
  • Designed and implemented Ansible playbooks and roles for configuration management of infrastructure components, ensuring consistency and scalability across environments
  • Managed Ansible Tower environments, including installation, configuration, and maintenance, to support enterprise-scale automation initiatives
  • Implemented AWS VPCs with private and public subnets, ensuring network isolation and security
  • Utilized IAM policies to manage access control and user permissions across AWS environments
  • Optimized AWS costs through auto-scaling, reserved instances, and efficient resource utilization strategies
  • Deployed and orchestrated containerized applications on Amazon EKS, leveraging Kubernetes for container management and scaling
  • Implemented and maintained rancher Installed, configured, and maintained Rancher for orchestrating containerized applications across multiple Kubernetes clusters
  • Utilized Docker for containerization of applications, ensuring consistency across development, testing, and production environments
  • Created and maintained AWS Infrastructure as Code templates using CloudFormation
  • Assisted in the migration of on-premises applications to AWS, ensuring a smooth transition and minimal disruption
  • Developed custom Ansible modules and plugins to extend functionality and integrate with third-party systems
  • Configured monitoring and logging solutions using Prometheus, Grafana, AWS CloudWatch, ELK Stack, and Google Analytics to track system performance and troubleshoot issues proactively
  • Conducted security assessments and implemented AWS security best practices, ensuring compliance with industry standards
  • Implemented Kubernetes clusters on AWS EKS for containerized applications, enabling efficient orchestration and management of microservices architecture
  • Designed and managed software development and operations toolchains to streamline workflows
  • Collaborated with infrastructure, operations, and application support teams to adopt new approaches, enhance system performance, and provide recommendations for improvements
  • Automated processes through code development to meet customer needs, including algorithm development and workflow automation for AI, ML, and NLP applications
  • Worked with various data models and databases, including PostgreSQL, MongoDB, and DynamoDB, to manage data effectively, using Power BI for data visualization
  • Maintained Linux-based DevOps environments, ensuring system stability and security
  • Administered and maintained IIS servers, configuring web applications, SSL certificates, and virtual directories to ensure optimal performance and security
  • Configured and optimized IIS servers for hosting web applications, implementing performance tuning, caching mechanisms, and load balancing for enhanced user experience and scalability
  • Designed and implemented Puppet manifests and modules to automate system configuration and software installation
  • Implemented security policies and access controls within Rancher, including role-based access control (RBAC) and network policies
  • Effectively documented processes presented findings to customers and stakeholders and communicated technical details clearly
  • Utilized Git and CI/CD tools like Jenkins, Jira, and Confluence to manage code and automate deployment pipelines
  • Integrated IaC tools like Terraform and Helm for managing and provisioning Rancher and Kubernetes resources
  • Experienced in troubleshooting Splunk issues, providing technical support to users, and collaborating with cross-functional teams to resolve issues promptly
  • Developed and deployed applications in cloud environments, primarily AWS, to optimize scalability and reliability
  • Designed and implemented scalable data solutions using Azure Data Lake Storage (ADLS) and other Azure services, with visualizations created in Power BI for enhanced reporting
  • Optimized GitLab CI/CD pipelines for multiple projects, reducing deployment errors and increasing delivery speed
  • Built real-time data visualizations, maps, charts, and dashboards using Power BI to provide actionable insights
  • Implemented industry-standard QA and communication tools such as Selenium and Renorex for documentation, testing, and troubleshooting
  • Deployed dashboards in Dynatrace for both operations and to perform root cause analysis
  • Utilized monitoring tools such as Dynatrace, AppDynamics, Splunk, Logstash, and Kibana to ensure system performance and reliability
  • Environment: Docker, Kubernetes, Terraform, Ansible, Python, AWS, MongoDB, DynamoDB, Linux and Unix, Jenkins, Jira, Confluence, Dynatrace, Splunk, Kibana, Tableau, D3.js, Selenium, Renorex

Sr DevOps

Thales USA Inc
10.2021 - 04.2022
  • Created Azure Virtual Network (VNET), storage containers, and load balancers, and deployed C# ASP.NET web apps using Azure DevOps Services, Azure Resource Manager (ARM), and various Azure services
  • Designed, planned, and implemented on-premises applications to Azure Cloud using Azure Resource Manager (ARM) and deployed automation scripts with Azure Stack Services for process automation
  • Deployed managed Kubernetes clusters in Azure using Azure Kubernetes Service (AKS) and created custom Terraform modules for different environments
  • Configured Azure Virtual Networks (VNets), subnets, network settings, DHCP address blocks, DNS settings, security policies, and routing
  • Implemented Azure Container Registry with Docker and Docker-compose and deployed applications on Docker using Kubernetes
  • Deployed, configured, and managed Neo4j graph databases, ensuring optimal performance and high availability
  • Developed and maintained complex Bash scripts for automating routine tasks like cron jobs
  • Executed Storage Blobs and Azure Files, managed Storage accounts, set up Content Delivery Network (CDN), custom domain, and access control
  • Integrated GitLab with monitoring tools like Prometheus to track CI/CD pipeline performance and system health
  • Implemented security measures and compliance policies for Oracle databases, including user management, encryption, and auditing
  • Integrated Oracle databases with other systems and applications using tools such as Oracle Data Integrator (ODI) or GoldenGate
  • Utilized Azure Functions and AKS for automation of cloud-native applications in Azure
  • Developed Build and Release CI/CD pipelines using Azure Pipelines on Azure DevOps, integrating with Jira for tracking work items
  • Automated routine VMware tasks such as snapshot management, VM deployment, and resource allocation using PowerCLI
  • Implemented monitoring and alerting for Kafka clusters using tools like Prometheus and Grafana to resolved performance and reliability issues
  • Developed and maintained stream processing applications using Kafka Streams or Kafka Connect, enabling real-time data processing and integration with other systems
  • Provided support for troubleshooting and resolving issues related to Kubernetes clusters and Rancher environments
  • Designed and deployed scalable .NET applications, utilizing ASP.NET Core, Entity Framework, and LINQ for robust back-end solutions
  • Analyzed observability data to diagnose and resolve incidents, reducing mean time to recovery (MTTR) and improving system reliability
  • Managed AWS infrastructure using services such as Virtual Private Cloud (VPC), CloudFormation, EC2, RDS, S3, Route53, SNS, SQS, and CloudTrail
  • Configured AWS VPC services, EC2 instances, and Route 53 for DNS management
  • Implemented Ansible Playbooks for configuration management and used Ansible Tower for job automation
  • Utilized Helm to manage the lifecycle of Kubernetes applications and created reproducible builds of Kubernetes applications
  • Developed PowerShell scripts for automating routine tasks and fetching information from webpages
  • Managed AWS cost-cutting budget by automating start/stop of resources using Ansible Playbooks triggered from Jenkins pipeline
  • Migrated to Amazon Elastic Kubernetes Service (EKS) for Kubernetes version upgrades and patching, utilizing AWS Fargate for running EKS clusters
  • Automated infrastructure provisioning and configuration management using GitOps principles and tools, such as FluxCD and GitLab CI/CD, resulting in improved scalability and efficiency of infrastructure operations
  • Developed and maintained PowerShell Runbooks for automation tasks in Azure
  • Maintained OpenStack Network Function Virtualization Infrastructure (NFVI) for network operations
  • Implemented Blue Green deployments for application version changes and collaborated with Azure service users on DevOps best practices
  • Integrated New Relic agents for 24/7 monitoring and health checks, monitored applications using New Relic and Grafana
  • Environment: Linux, RHEL, AWS, PCF, Shell Scripting, Jira, Bamboo, GIT, Splunk, Web services, REST APIs, Apache-Tomcat, JBoss, Ansible, Ubuntu, Azure, WebLogic, SVN, Maven, ANT, IIS, LINUX, XML, PowerShell, Shell Scripts, Python, Jenkins, Apache Tomcat, AWS, GIT, Puppet, Kibana, Apache, Chef, Puppet, Ansible, Docker, JAVA, ElasticSearch Logstash, Kibana, Splunk, concourse, Fastlane, HockeyApp, Circle CI, Groovy.

DevOps/ Automation Engineer

Shell
05.2021 - 09.2021
  • Google Cloud Engineer, Built and developed cloud-native applications using Google Cloud Platform (GCP) services with open-source frameworks
  • Hosted applications on GCP using Compute Engine, App Engine, Cloud SQL, Kubernetes (AKS), Cloud Storage, and other services
  • Automated the build and configuration of IaaS based solutions in Google Cloud Platform (GCP) to streamline processes
  • Managed OpenShift clusters, including scaling AWS app nodes and assisting developers in understanding key concepts of the Console Platform ecosystem
  • Managed and monitored data pipelines deployed on GCP and maintained build pipelines for promotions through change management
  • Utilized Ansible Playbooks, modules, and roles in cloud environments, integrating Ansible Tower for managing multiple nodes and inventory
  • Leveraged Docker containerization and orchestration tools like Red Hat OpenShift and Kubernetes for infrastructure management
  • Deployed and configured observability tools such as Prometheus and Grafana to enhance system monitoring and performance tracking
  • Integrating Rancher with CI/CD tools such as GitLab
  • Setup Docker tasks for automated container deployment through Azure DevOps and managed images in ECR for OpenShift deployments
  • Configured AWS Application Load Balancer and Network Load Balancer for distributing application traffic across pod services in OpenShift
  • Created Windows Virtual Machines in Microsoft Azure using Terraform module and configured VNet Peering and Network Security Groups
  • Configured deployment methods for migrating from dedicated data centers to micro-services virtualized instances on AWS and managed Kubernetes (EKS)
  • Provided infrastructure expertise for high availability architecture and performed security audits against AWS Accounts
  • Written AWS CloudFormation templates and launched via Release Pipelines in Azure DevOps onto multiple regions and accounts
  • Developed CloudFormation templates for DMS tasks copying data to AWS PostgreSQL databases and configured Global Database using CLI
  • Configured infrastructure for ECS tasks on EC2 instances under Auto Scaling groups and connected to application Load Balancer
  • Set up scalability for application servers using command line interface and administered DNS system in AWS using Route53
  • Developed Ansible Playbooks with Python SSH wrapper for managing configurations of AWS nodes and tested playbooks on AWS instances
  • Created Simple Notification Services (SNS) triggered by CloudWatch monitoring to send updates via SMS or Email
  • Developed CloudFormation templates in AWS to automate provisioning based on VPC, Subnet, Security Groups, Load Balancers, and IAM Role policies
  • Deployed and configured Elastic search, Log stash, and Kibana (ELK) for log analytics and application monitoring, integrated with AWS Lambda and CloudWatch
  • Configured Splunk and Nagios for monitoring system metrics and logs, analyzed VPC Flow Logs, AWS CloudTrail event logs, and DNS logs using Amazon Guard Duty
  • Generated logs and stored in CloudWatch Log Groups, configured event rules for timely service start and stop
  • Environment: Java, Micro services, GitHub, Chef, Ansible, Puppet, Jenkins, Bamboo, Tomcat, Apache, Python, Maven, Nexus, Linux, Docker, Vagrant, Kubernetes, AWS EC2, AWS SQS, AWS S3, AWS RDS, AWS Cloud Watch, SonarQube , WebLogic, Jboss, Apache, Team city, GitHub, JIRA, RPM, KANBAN, Rally, ServiceNow, Elastic Search, Log stash, Splunk, AWS RedShift, Oracle, DynamoDB, AWS-RDS, Hadoop, AWS ECR, MS BUILD, TFS, Concourse, Fastlane, HockeyApp, CircleCI, Groovy, Azure, Workday HCM, SQL Server, SSIS.

DevOps Cloud Consultant

First Premier Bank
01.2021 - 05.2021
  • Migrated workloads into multi-tenancy clouds, including AWS, Azure, and GCP, optimizing performance and scalability
  • Administered RedHatEnterpriseLinux and Solaris servers, performing testing, tuning, upgrading, patching, and troubleshooting both physical and virtual server environments
  • Implemented architecture and ecosystems using Google Cloud Storage, Compute Engine, Kubernetes, Dataflow, Pub/Sub, Big Query, and other services for applications
  • Configured private endpoints for Azure Cosmos DB using Azure Private Link and secured data using Network Security Groups policies and ARM templates
  • Moved locally hosted applications to cloud and hybrid cloud platforms on OpenStack, AWS, Azure, GCP, and VMware Vcloud
  • Set up App Service Environment (ASE) with high availability and configured Azure Traffic Manager for load balancing across regions
  • Evaluated performance metrics of AWS EC2 Instances using CloudWatch to optimize resource utilization
  • Participated in the migration process of applications to AWS S3 using API Gateway and AWS Snowmobile for secure data transfer
  • Created and automated RDS databases in AWS, implemented cloud automation using AWS CloudFormation templates and Lambda functions
  • Utilized AWS CLI and Boto3/Python to automate infrastructure creation and management
  • Configured infrastructure for ECS tasks running on EC2 instances under Auto Scaling groups and connected to application Load Balancer
  • Developed custom CloudFormation templates for Step Functions and ECS tasks on Amazon Fargate
  • Enabled API gateways using AWS CloudFormation templates and API gateway extension to swagger for processing, monitoring, authorization, and access control
  • Deployed and scaled web applications and services using AWS Beanstalk for various programming languages and Docker containers
  • Virtualized servers using Docker and configured containers using Kubernetes for development and test environments
  • Automated Jenkins pipeline using Groovy scripts for application deployment and built upstream and downstream jobs for different environments
  • Implemented AWS Instances using Ansible roles and wrote Ansible playbooks with Python SSH wrapper for configuration management
  • Managed Chef server and worked on chef server management console for configuration management
  • Configured JIRA for defect tracking and integrated it with Jenkins and GitHub
  • Monitored server status using Node Exporter and Prometheus for comprehensive monitoring
  • Provided 24/7 on-call production support for cloud environments.

DevOps Engineer

Genpact
12.2016 - 12.2020
  • Implemented AWS cloud computing platform, including VPC, EC2, ELB, SQS, auto scaling architectures, EBS, CloudWatch, AWS API, and Boto toolkits
  • Automated and orchestrated cloud services offerings on AWS to streamline processes and enhance efficiency
  • Collaborated with product owners to understand application capabilities and testing scenarios, ensuring alignment with business objectives
  • Migrated servers to IAAS platforms such as AWS and OpenStack, optimizing performance and scalability
  • Installed and configured applications on AWS EC2 AMI, Red Hat, and Ubuntu Instances to support business operations
  • Utilized various approaches, including Sqoop, Spark, and AWS services, to load data from on-premises data warehouses to AWS Cloud
  • Identified automation opportunities in day-to-day operations and developed scripts to automate routine tasks using ANT, MAVEN, and Jenkins
  • Developed Ansible Plays and Chef automation for configuring, deploying, and maintaining software components
  • Designed and implemented software configuration management (SCM) and change management (CM) processes
  • Utilized Team Foundation Server (TFS) and GIT for version control, ensuring code integrity and facilitating collaboration
  • Managed servers for building product releases, conducted preliminary performance tests, and deployed releases on QA machines
  • Tracked changes in Jira tracking tool and provided metrics reporting for project release activities
  • Coordinated environment configuration, controls, code integrity, and conflict resolution
  • Implemented Continuous Integration (CI) using Jenkins and facilitated deployment into application servers
  • Managed complete build and release processes, including code, documentation, and testing support
  • Collaborated with QA team to verify releases and managed multiple builds concurrently
  • Environment: AWS, EC2, S3, RDS, Docker, Kubernetes, Tomcat, Jenkins, Ansible, Terraform, Python, Groovy, Linux, Shell, Splunk, Hubble, Epic, GIT

Build and Release Engineer

Adwait Algorithm
06.2015 - 12.2016
  • Lead release management, environment management, and deployment activities within the DevOps team, ensuring smooth operations and timely delivery of software releases
  • Automated the build and deployment processes for Java/J2EE web applications in an Agile, continuous integration environment, utilizing Jenkins for CI/CD pipelines
  • Configured AWS resources, including setting up CloudTrail and ensuring compliance checks on AWS services like S3
  • Established secure network configurations with VPCs, Security Groups, and Routing Tables
  • Managed EC2 instances with Nginx, Tomcat servers, and Docker installations in the AWS cloud, optimizing infrastructure for scalability and performance
  • Utilized configuration management tools such as Chef for deployment on internal data center servers and adapted Chef recipes for deployments on Amazon EC2 instances
  • Implemented containerization using Docker, creating custom images, and maintaining Docker containers to streamline application packaging and deployment
  • Developed automation scripts using Maven, Ant, and shell scripting to facilitate build and release processes across different environments
  • Leveraged Ansible for managing containers and environments, employing YAML configurations to automate deployment tasks effectively
  • Collaborated with cross-functional teams, utilizing tools like Rally, Jira, and Bitbucket for issue tracking, project management, and version control
  • Proactively learned new technologies such as Kubernetes, Terraform, and New Relic to enhance test environment availability and automation capabilities.

Education

Master of Science -

Dakota State University

Bachelor of Technology - undefined

NRI Institute of Technology

Skills

DevOps methodologies

undefined

Timeline

Site Reliability Engineer

3e
04.2024 - Current

Site Reliability Engineer

Centene Corporation
05.2022 - 03.2024

Sr DevOps

Thales USA Inc
10.2021 - 04.2022

DevOps/ Automation Engineer

Shell
05.2021 - 09.2021

DevOps Cloud Consultant

First Premier Bank
01.2021 - 05.2021

DevOps Engineer

Genpact
12.2016 - 12.2020

Build and Release Engineer

Adwait Algorithm
06.2015 - 12.2016

Bachelor of Technology - undefined

NRI Institute of Technology

Master of Science -

Dakota State University

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Jprakash. KDevOps Engineer / Site Reliability Engineere