Summary
Overview
Work History
Education
Skills
Certification
Languages
Timeline
Generic
Ashok Mourya

Ashok Mourya

Zephyrhills,FL

Summary

Experienced DevOps AI Engineer with over 10 years of IT experience specializing in DevOps/Cloud Engineering and Build/Release Engineering. Skilled in implementing IT strategies and supporting mission-critical deployments across GCP, Microsoft Azure, and Amazon Web Services. Proficient in configuration management, CI/CD, and DevOps processes. Successful in implementing DevOps AI/ML practices to streamline development, deployment, and operations processes, promoting team collaboration and productivity.

Overview

10
10
years of professional experience
1
1
Certification

Work History

Sr. SRE DevOps Engineer

CVS
01.2021 - Current
  • Company Overview: Delivered enterprise-scale DevOps and AI/ML automation across GCP, modernizing infrastructure and CI/CD for critical healthcare platforms.
  • Led observability, governance, and incident response for 400+ production applications, improving reliability, reducing downtime, and ensuring SLA compliance.
  • Enabled secure deployments, platform resilience, and real-time visibility through standardized pipelines, monitoring, and cross-cloud support frameworks.
  • Led onboarding of over 400+ critical applications into the organization's observability framework, establishing standardized monitoring, logging, and alerting practices for each based on service tiers and SLAs.
  • Collaborated with application teams to assess dependencies and performance benchmarks, ensuring tailored observability setups that provided meaningful visibility from the infrastructure to the application layer.
  • Provisioned GCP infrastructure using Terraform, managing GKE clusters, Cloud Composer, Cloud Functions, Vertex AI Workbench, and Dataproc with reusable modules.
  • Enabled remote state locking via GCS and IAM roles for secure multi-project deployments across environments.
  • Built CI/CD pipelines using GitHub Actions to automate infrastructure provisioning, application deployments, and post-deployment validations for GCP workloads.
  • Integrated these workflows with Terraform Cloud and GitHub pull requests for approval gating and version control.
  • Enabled GitOps-style delivery using GitHub Actions combined with version-pinned Terraform modules, ensuring every deployment was traceable to a commit and review-approved via PR gates and checks.
  • Created application-specific Terraform modules to automate the deployment of monitoring components (SLOs, alerts, dashboards), eliminating manual setup and reducing onboarding time by 60%.
  • Leveraged Terraform state management across multiple workspaces (dev, staging, prod) to ensure safe and predictable multi-environment deployments.
  • Spearheaded end-to-end observability architecture using GCP Cloud Monitoring, Cloud Logging, Error Reporting, and custom metrics to provide deep visibility into distributed systems and service health.
  • Automated the provisioning and management of cloud infrastructure using Terraform, defining reusable modules for GKE clusters, Pub/Sub topics, IAM policies, monitoring alert policies, dashboards, and custom log sinks.
  • Designed and implemented a self-service dashboard provisioning system where application teams could register metadata to automatically generate Grafana dashboards from Terraform templates using CI pipelines.
  • Built a real-time monitoring pipeline with Pub/Sub and Cloud Functions, routing structured logs to BigQuery for analytical insights and to Grafana for visualization, enabling actionable visibility into application behavior.
  • Developed Terraform automation workflows integrated into GitHub Actions, ensuring that infrastructure changes were version-controlled, tested, and approved through PR workflows before deployment.
  • Centralized logging for containerized microservices in GKE using Fluent Bit and Cloud Logging, tagging logs with metadata for faster root-cause analysis during incident response.
  • Collaborated with SRE and platform teams to define monitoring-as-code, ensuring every application deployed to Kubernetes included baked-in observability standards via reusable Terraform modules.
  • Created SLO-driven alerts and dashboards for every microservice based on service-level indicators (SLIs), significantly improving incident resolution time and accountability across teams.
  • Automated end-to-end AI/ML pipeline deployment using Terraform and Vertex AI, enabling reproducible model training, scalable inference, and secure integration with IAM, Pub/Sub, and artifact storage.
  • Built observability into ML systems by integrating Cloud Monitoring, BigQuery, and Grafana to track live model metrics (latency, drift, accuracy), with structured logs and alerting tied to custom SLOs.
  • Developed serverless data pipelines and CI/CD workflows using Cloud Functions, Cloud Run, and FastAPI, streamlining feature ingestion, containerized model deployment, and real-time health checks across environments.
  • Automated alert escalations and incident creation in ServiceNow using Cloud Monitoring notification channels and webhooks, linking alerts with CI/CD deployment metadata.
  • Enhanced CI/CD processes using Jenkins pipelines and GitHub Actions, with automated builds, vulnerability scans, and deployment approvals tied to JIRA workflows.
  • Containerized legacy workloads using Docker, standardized image builds, and ensured image scanning with Trivy in CI pipelines.
  • Automated rollbacks on failed deployments via Jenkins + Terraform rollback strategy.
  • Managed continuous builds using Jenkins by polling GCP Cloud Source Repositories, ensuring automated testing and deployment throughout the day.
  • Designed and implemented custom Grafana dashboards for visualizing application and infrastructure performance, improving operational insights, and decision-making.
  • Dynamic labeling and tagging of resources for cost attribution and compliance audits.
  • Monitoring anomaly detection using statistical thresholds on log and metric data.
  • Conducted weekly tuning sessions with app owners, refining alert thresholds, improving log structure, and optimizing metric cardinality to lower costs without losing visibility.
  • Delivered enterprise-scale DevOps and AI/ML automation across GCP, modernizing infrastructure and CI/CD for critical healthcare platforms.

Sr. Cloud/DevOps Engineer

Vertex INC.
11.2019 - 12.2020
  • Company Overview: Responsible for working closely with the DevOps team to create, customize and manage the infrastructure and provisioning of the highly available EC2 Instances using Terraform.
  • Developing Packer AMIs for base prebaked instance images for client environment and launching VPCs using cloud formation and terraform.
  • Worked on AWS Cloud Formation templates to create custom-sized VPC, subnets, EC2 instances, ELB, and security groups.
  • Worked on tagging standards for proper identification and ownership of EC2 instances and other AWS Services like Cloud Front, CloudWatch, OpsWorks, RDS, ELB, EBS, S3, glacier, Route53, SNS, SQS, KMS, Cloud Trail, IAM.
  • Involved in analysis, specification, design, implementation, and testing phases of the Software Development Life Cycle (SDLC) and used agile methodology (SCRUM) for developing applications.
  • Hands-on Experience in working with setting up CI/CD pipeline integrating various tools with Cloud Bees Jenkins to build and terraform jobs to create infrastructure in AWS.
  • AWS EC2, VPC, S3, SNS, Redshift, EMR-based infrastructure automation through Terraform, Chef, Python, Bash Scripts, and Managing security groups on AWS and custom monitoring using CloudWatch.
  • Installed Pivotal Cloud Foundry (PCF) on EC2 to manage the containers created by PCF.
  • Used Docker to virtualize deployment containers and push the code to the EC2 using PCF.
  • Deploying, managing, and troubleshooting VMware vRealize Automation, vRealize Orchestration, vRealize IaaS (Infrastructure as a Service), vRealize DEM (Distributed Execution Manager), and vRealize SSO Servers (Single Sign-On) across multiple data centers.
  • Written Chef Cookbooks, recipes using Ruby to automate the installation of Middleware Infrastructure like Apache Tomcat, JDK, and configuration tasks for new environments.
  • Administering Splunk and Splunk Apps includes developing new/custom Apps to perform specialized functionality.
  • Implemented CI/CD pipelines for AKS using tools like Azure DevOps, Jenkins, and GitLab CI/CD, automating the build, test, and deployment processes for containerized applications.
  • Developed complex ARM templates with parameters, variables, and conditionals to support dynamic configuration based on application requirements and environmental variations.
  • Implemented ARM template-linked deployments to create modular and reusable infrastructure components, promoting code reusability and maintainability.
  • Designed and automated end-to-end workflows within Ansible Tower, streamlining repetitive tasks and reducing deployment times by 7.2%.
  • Leveraged Azure Resource Manager, Azure Functions, and Azure App Service to develop and deploy highly scalable and reliable cloud applications.
  • Designed and implemented containerized applications to orchestrate and manage virtualized infrastructure using Azure Kubernetes Service (AKS), Azure Container Registry, and VMware vSphere.
  • Utilized Azure Storage and Azure SQL Database to implement high-performance and fault-tolerant data storage solutions and integrated with Azure API Management to expose APIs securely and efficiently.
  • Implemented Azure Security Center, Azure Policy, and Azure Monitor to ensure regulatory compliance and enforce security policies, and used Azure Automation and Azure Site Recovery for disaster recovery and business continuity planning.
  • Integrating Splunk with a wide variety of legacy data sources and industry-leading commercial tools.
  • Performing advanced searching and reporting to help customers implement specialized/custom dashboards.
  • Utilized Helm charts and Azure Kubernetes Service (AKS) manifests to package and deploy applications, simplifying the deployment process and enabling versioning and rollback.
  • Written Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of Nodes and Test Playbooks on AWS instances using Python SDK and Automated various infrastructure activities like continuous deployment, application server setup, and stack monitoring using Ansible Playbooks.
  • Creating inventory, job templates, and scheduling jobs using Ansible Tower.
  • Downloaded and managed Ansible roles from Ansible Galaxy to automate the infrastructure.
  • Configured and maintained Jenkins to implement the CI process and integrated the tool with Maven to schedule the builds.
  • Took sole responsibility for maintaining the CI Jenkins server.
  • Installed Jenkins on a Linux, created master and slave configuration, and drove all microservices builds to the Docker registry.
  • Build scripts using Maven in Jenkins to move from one environment to another.
  • Integrated Selenium test automation with CI/CD pipelines using tools like Jenkins, GitLab CI, or Azure DevOps, enabling seamless test execution as part of the software development process.
  • Implemented a centralized logging system using log stash configured as an ELK stack (Elastic search, Log stash, and Kibana) to monitor system logs, VPC Flow logs, Cloud Trail Events, changes in S3, etc.
  • Engineered Splunk to build, configure and maintain heterogeneous environments and have in-depth knowledge of log analysis generated by various systems, including security products.
  • Designed and implemented GIT metadata, including elements, labels, attributes, triggers, and hyperlinks, and performed necessary day-to-day GIT support for different projects.
  • Responsible for working closely with the DevOps team to create, customize and manage the infrastructure and provisioning of the highly available EC2 Instances using Terraform.

Sr. Cloud/DevOps Engineer

Honeywell
09.2017 - 10.2019
  • Company Overview: Designed, planned, and created Azure virtual machines; implemented and managed virtual networking within Azure and connected to on-premises environments.
  • Worked on Serverless services (Azure Functions), created and configured HTTP Triggers in the Azure Functions with Application Insights for monitoring and performing load testing on the Applications using the VSTS.
  • Maintained a high degree of competency across the Microsoft Application Platform, focusing on .NET Framework, WCF, Windows Azure, and SQL Azure.
  • Utilized Azure DevOps pipelines to automate the deployment of ARM templates, integrating them with source control repositories for versioning and collaboration.
  • Managed AKS storage solutions, including Azure Disk and Azure Files, providing persistent storage for stateful applications running on AKS.
  • Created Azure Automation Assets, Graphical runbooks, and PowerShell runbooks to automate specific tasks.
  • Deployed Azure AD Connect, configuring ADFS authentication flow and ADFS installation using Azure AD Connect.
  • Configured Kubernetes Replication controllers to allow multiple pods, such as Jenkins master server in multiple minions.
  • Managed Kubernetes charts using Helm, managed Kubernetes manifest files, and created reproducible builds of the Kubernetes application.
  • Designed and implemented continuous integration and continuous deployment (CI/CD) pipelines for PaaS applications, leveraging tools like Jenkins, GitLab CI/CD, and CircleCI to automate the build, test, and deployment processes.
  • Developed Micro Services RESTful APIs that provide fast and efficient data exchange against SQL and NoSQL Databases for the BI SaaS product.
  • Automated deployment of microservices to pull an image from private Docker Registry and deploy Docker swarm cluster using Ansible.
  • Configured AKS Horizontal Pod Autoscaler (HPA) and Cluster Autoscaler to automatically scale applications based on demand, optimizing resource utilization and improving application performance.
  • Worked with Ansible for Orchestration of Deployments for various servers and managed Ansible Playbooks with Ansible modules, implemented CD automation using Ansible, and was also involved in managing existing Tomcat Webserver and automated the configuration of new servers.
  • Instantiated Docker to automate container deployment through Jenkins and Dealt with Docker Hub, making Docker Images and taking care of various Images essentially for middleware establishments.
  • Used Docker Swarm and Kubernetes to cluster the Containers for high availability and to manage different infrastructure resources, like physical machines, VMs, and even Docker Containers using Terraform.
  • Included Vulnerability Detection as a part of the CI/CD workflow using Jenkins Pipelines and SonarQube Quality Gates.
  • Installed Jenkins/Plugins for GIT Repository, Setup SCM Polling for Immediate Build with Maven and Maven Repository (Nexus Arti factory).
  • Built end-to-end CI/CD Pipelines in Jenkins to retrieve code, compile applications, perform tests and push build artifacts to Nexus and Deploy to orchestrate changes across servers and components.
  • Responsible for applying the Corporation's Software Configuration Management processes to projects, setting up and maintaining Git infrastructure, and supporting a continuous delivery model by automating software build and package migration processes.
  • Extensively worked with PowerShell to automate SQL tasks, environment management-related tasks, and procedures on Windows machines.
  • Designed, planned, and created Azure virtual machines; implemented and managed virtual networking within Azure and connected to on-premises environments.

Cloud DevOps Engineer

PriceWaterhouseCoopers
03.2015 - 01.2016
  • Company Overview: Involved in designing and deploying a multitude of applications utilizing almost all the AWS stack, including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, LAMBDA, and REDSHIFT.
  • Focusing on high-availability, fault tolerance, and auto-scaling in AWS cloud formation.
  • Implemented and managed containerized applications on PaaS platforms, utilizing Docker containers and the container orchestration tool Docker Swarm to enhance application scalability and resource efficiency.
  • Supported AWS Cloud environment with 200+ AWS instances and configured Elastic IP & Elastic Storage and Experience working on implemented security groups and Network ACLs.
  • Implemented AWS code pipeline and Created CloudFormation JSON templates for infrastructure as code.
  • Experience with provisioning configuration management and containerization solutions such as Terraform, Packer, Chef, Puppet, Ansible, Docker, Mesos, or similar technologies.
  • Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS Nodes and Test Playbooks on AWS instances using Python.
  • Used the Ansible Galaxy, a shared repository for the roles, to download, share and manage the roles.
  • Automation and deployment templates for relational and non-relational databases, including MySQL and Cassandra, used in AWS RDS.
  • Worked with AWS CloudFormation Templates, terraform along with Ansible to render templates, and Murano with Orchestration templates in OpenStack.
  • Used IAM to create new accounts, roles, and groups and engaged in enabling lambda functions for the dynamic creation of Roles.
  • Created a Python Script to stop all the instances with a specific tag in AWS Instance using Lambda functions and made it into CloudWatch Scheduler to schedule it every night.
  • Designed the project workflows/pipelines using Jenkins as a CI tool and wrote Python Scripts and BASH scripts to automate the build process.
  • Worked on AWS CloudWatch, CloudFormation, CloudTrail, and CloudFront services to set up and manage cached content delivery.
  • Maintained Docker Registry for local upload and download of Docker images and even from DOCKERHUB.
  • Installed and configured KUBERNETES, Chef Server/workstation, and nodes via CLI tools and wrote Docker files to create new images based on working environments for testing purposes before deployment.
  • Coordinate/assist developers with establishing and applying appropriate branching, labeling/naming conventions using Subversion (SVN).
  • Automated installation and configurations of various applications using Ansible.
  • Ansible-Tower implementation and management.
  • Built scripts using ANT and MAVEN build tools in Jenkins to move from one environment to environments.
  • Involved in designing and deploying a multitude of applications utilizing almost all the AWS stack, including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, LAMBDA, and REDSHIFT.

Education

Master of Science - Information Technology - Information Assurance

Wilmington University
New Castle, DE
08-2017

Skills

  • AI/ML: Amazon SageMaker, Azure OpenAI Service, Vertex AI
  • Cloud service: Azure, AWS,GCP,
  • Build Tools: Ant, Maven, AntHill Pro, Packer
  • Versioning Tools: GitHub, Bitbucket, SVN
  • Configuration Management: Puppet, CHEF, HP Service, Ansible, Terraform, AWS CloudFormation, Azure Resources Manager
  • Database: Oracle MySQL, MongoDB, AWS RDS, DynamoDB, PostgreSQL
  • Collaboration Tools: JIRA, Confluence, Service Now
  • Orchestration Tools: Kubernetes, Docker Swarm, Mesos
  • Service: SSH, SFTP, FTP, NFS, RPM, YUM, SAMBA, Telnet, Auto FS
  • CI/CD: Jenkins, GitHub Actions, TeamCity, Azure DevOps, AWS CodePipeline
  • Monitoring Tools: Nagios, Splunk, New Relic, ELK, DataDog, AWS CloudWatch, Grafana
  • Web/ application Server: Tomcat 7/8, Apache 2x, 3x, WebLogic (8/9/10), WebSphere
  • Operating System: RHEL 4x, 5x, 6x, 7x CentOS 4/5/6/7, SUSE 10/11, Windows XP, Windows Server 2003/2008 R2, Ubuntu
  • Scripting Languages: UNIX Shell/Bash Scripting, Perl, Python, Ruby, Maven, Java, Gradle

Certification

  • AWS Solutions Architect
  • AWS Developer Associate
  • Microsoft Azure Associate

Languages

Hindi
Professional Working
English
Full Professional
Telugu
Native or Bilingual

Timeline

Sr. SRE DevOps Engineer

CVS
01.2021 - Current

Sr. Cloud/DevOps Engineer

Vertex INC.
11.2019 - 12.2020

Sr. Cloud/DevOps Engineer

Honeywell
09.2017 - 10.2019

Cloud DevOps Engineer

PriceWaterhouseCoopers
03.2015 - 01.2016

Master of Science - Information Technology - Information Assurance

Wilmington University

Similar Profiles

CREATE PROFILE