Cloud DevOps Engineer / SRE Specialist

ARUN KUMAR

Cloud DevOps Engineer/SRE

Email: **************@*****.***

Contact: 469-***-****

LinkedIn: https://www.linkedin.com/in/arun-p1/

PROFESSIONAL SUMMARY

Cloud DevOps Engineer/Site Reliability Engineer (SRE) with 5+ years of hands-on experience deploying and managing cloud infrastructure across Azure, AWS and GCP.

Skilled in DevOps, Site Reliability, Configuration Management, Cloud Infrastructure and Automation.

Well-versed in automation, performance optimization, and supporting mission-critical systems. Deep expertise in Azure services such as Virtual Machines, AKS, Blob Storage, Data Factory, Data Lake, Active Directory, and Azure DevOps.

On the AWS side, worked with EC2, VPC, IAM, EBS, ELB, CloudFormation, RDS, DynamoDB, Redshift, and CloudWatch to build cost-efficient, scalable cloud solutions.

Good experience working with various GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, Cloud Functions, Cloud SQL, Pub/Sub, etc.

Proficient in containerization using Docker and Kubernetes, and used Helm for managing Kubernetes deployments.

Led CI/CD initiatives using Jenkins, GitLab CI, and Azure DevOps pipelines.

My experience includes working with build tools like Maven, ANT and Gradle, and managing version control using Git, GitLab, GitHub, Bitbucket, TFS, and SVN to maintain robust, collaborative development workflows.

Successfully implemented infrastructure as code using Terraform and automated configuration management with tools like Ansible and Chef to deliver infrastructure faster and more reliably.

Proficient in scripting using Python, Perl, Bash, PowerShell, and UNIX Shell to automate deployments, streamline compilation processes, and accelerate release cycles minimizing manual errors in the process.

For monitoring and observability, utilized Azure Monitoring, AWS CloudWatch, Splunk, ELK Stack, Prometheus, and Grafana to proactively monitor system performance and uptime.

Expert in using JIRA extensively for issue tracking and root cause analysis, helping teams resolve problems faster and maintain higher system reliability.

TECHNICAL SKILLS

Languages

Python, UNIX Shell Scripts, Bash, Perl, PowerShell

Cloud Environments

Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP)

Infrastructure as a Code (IaaC)

Terraform, Azure Resource Manager (ARM), CloudFormation

Containerization & Orchestration

Docker, Kubernetes, Helm, AKS, ACS, ECS, EKS

Configuration Tools

Ansible, Chef, Puppet

Web/Application Servers

WebLogic, JBoss, WebSphere, Apache Tomcat

CI/CD Tools

GitLab CI, Jenkins, GitHub Actions

Build Tools

Maven, Gradle, Ant

Repository Managers

Nexus, JFrog

Databases

Oracle, SQL Server, MySQL, MongoDB, PostgreSQL

Platforms

Windows, Linux, Unix, MacOS

Version Control Tools

GIT, GitLab, GitHub, Bitbucket, SVN

Monitoring Tools

Azure Log Analytics, Splunk, Nagios, ELK Stack, Prometheus and Grafana

Project Management Tools

Jira, Azure DevOps

PROFESSIONAL EXPERIENCE

Ford Motor Company, Dearborn, MI August 2024 to till date

Cloud DevOps Engineer/SRE

Responsibilities:

Managed cloud-to-cloud and data center-to-cloud migrations, ensuring secure data transfer and compliance with industry standards for data integrity, traceability, and intellectual property protection.

Successfully designed and deployed highly scalable and resilient cloud infrastructure on Microsoft Azure.

Collaborated closely with API development teams to develop Ansible Playbooks, simplifying deployment, integration, and monitoring across the CI environment.

Ensured high availability across both Azure Classic and Azure Resource Manager (ARM) deployment models.

Developed robust PowerShell automation scripts for provisioning and scaling Azure VMs, App Services, Kubernetes clusters, and databases.

Also automated critical infrastructure tasks using Ansible and Chef, leading to faster, more consistent deployments and reduced operational overhead.

Enhanced security by integrating Azure Active Directory for identity management, Azure Key Vault for secrets protection, and Azure Security Center to ensure compliance with industry standards.

Utilized Helm charts to automate the deployment and configuration of complex Kubernetes applications.

Automated infrastructure provisioning using Infrastructure as Code (IaC) with Terraform.

To secure critical cloud environments, enforced multi-factor authentication (MFA), particularly for DevOps pipelines and production access.

Worked on serverless computing concepts and experience with GCP Cloud Functions and App Engine.

Also built fully automated CI/CD pipelines using Jenkins, GitLab CI, and Azure DevOps, reducing deployment time from hours to minutes and accelerating the software delivery lifecycle.

Implemented monitoring and logging solutions using Stackdriver (Google Cloud Operations) or other third-party tools.

Implemented container orchestration using Docker and Azure Kubernetes Service (AKS), and built a self-hosted Kubernetes cluster integrated with Jenkins for continuous delivery.

Managed source control using Git and GitLab, promoting better version control practices and seamless collaboration across development teams.

For data processing at scale, created automated workflows using Azure Functions and Azure Data Factory to transform large datasets stored in Azure Blob Storage.

Integrated monitoring and alerting tools such as Azure Monitor, Prometheus, and Grafana, enabling proactive issue detection and faster incident response.

Environment: Microsoft Azure, Google Cloud Platform (GCP), Docker, Kubernetes, AKS, Terraform, ARM, Ansible, Azure Monitoring, Prometheus, Grafana, PowerShell, Tomcat, Git, GitLab CI, Jenkins, Python, PostgreSQL, MongoDB, Azure DevOps, Windows, Linux

Santander Consumer USA, Dallas, TX June 2022 to July 2024

DevOps Engineer/SRE

Responsibilities:

Led the end-to-end migration of cloud infrastructure from AWS to Azure, focusing on high availability, security, automation, and minimal downtime.

Designed and developed seamless, integrated build pipelines using Azure DevOps, automating workflows and significantly improving deployment efficiency across multiple environments.

Implemented end-to-end CI/CD pipelines using Docker, Jenkins, GitHub, and Azure Container Service (ACS).

Worked closely with Agile development and QA teams, integrating GitLab CI/CD to automate code checkouts and testing workflows.

Configured and managed Azure Active Directory (AAD) authentication for various applications deployed in Azure, including Azure App Services, Azure Functions, and containerized apps running in AKS.

Configured Azure Virtual Networks, NSGs, Load Balancers, and VPN Gateways, enabling encrypted communication between services handling sensitive financial data.

Also created and deployed ARM templates to streamline infrastructure provisioning.

Successfully deployed and managed Windows-based Kubernetes (K8s) clusters in Azure Container Service using Azure CLI and further optimized workloads using Azure Kubernetes Service (AKS).

Provisioned and managed Azure SQL databases, monitoring performance and ensuring high availability through proactive maintenance and automated restoration practices.

Automated infrastructure provisioning and deployment of Azure Functions using Terraform.

Using Ansible, automated the provisioning of load balancers, auto-scaling groups, and configuration of microservices, and converted legacy Chef Recipes to Ansible playbooks.

Utilized Maven to automate the packaging of JAR, WAR, and EAR files for deployment to Tomcat servers.

Managed deployments using Helm charts, integrated Azure Container Registry (ACR) for Docker image storage, and built CI/CD workflows that supported real-time updates to payment processing components.

Also delivered solutions for vulnerability management, log analytics, and monitoring using Azure Log Analytics and Azure Monitoring.

Additionally, integrated Git with Jenkins to automate builds and linked commit activity to Jira for enhanced project tracking and collaboration.

Environment: Azure Cloud Services, Python, Ansible, Docker, ACS, Kubernetes, Terraform, Jenkins, Git, GitHub, Maven, Tomcat, Windows, SQL, Jira, Azure DevOps, Azure Monitor

ValueMomentum, Hyderabad, India September 2019 to August 2021

DevOps Engineer

Responsibilities:

Streamlined the build and release process by designing and implementing efficient CI/CD pipelines, which reduced deployment times by 40% and accelerated feature delivery across environments.

Led the successful migration of legacy, on-premises systems to AWS using services like EC2, RDS, and S3, which improved application performance and reduced infrastructure costs.

Integrated AWS S3 for secure artifact storage and streamlined the retrieval process.

For environment-specific deployments, used AWS Elastic Beanstalk to coordinate rollouts across dev, staging, and production environments. Configured IAM roles and policies, ensuring appropriate access control and compliance.

Also transitioned infrastructure management to Infrastructure as Code (IaC) using both Terraform and AWS CloudFormation, greatly improving the reliability and repeatability of resource provisioning.

Using Ansible and Chef, managed server configurations and continuous deployments by maintaining well-structured playbooks and inventory files.

Version control was handled using Git, which improved team collaboration and ensured consistency across codebase.

Automated build and deployment workflows with Jenkins, Maven, and Gradle.

Containerized applications with Docker and orchestrated with Kubernetes for efficient scaling and management.

To support artifact management, worked with Nexus and Artifactory repositories, ensuring smooth and centralized storage and retrieval of build outputs.

Collaborated closely with development, QA, and operations teams to continuously improve automation, reduce deployment bottlenecks, and ensure seamless releases.

For log analytics and application observability, deployed and integrated the ELK Stack (Elasticsearch, Logstash, Kibana) with AWS Lambda and CloudWatch.

Utilized Jira extensively for issue tracking, root cause analysis, and incident response.

Environment: AWS, Docker, Kubernetes, Terraform, CloudFormation, RBAC, IAM, ELK Stack, AWS CloudWatch, Python, Bash, Ansible, Chef, EKS, GitOps, Jenkins, GitLab, ArgoCD, Jira, Tomcat, Windows, Linux

EPAM Systems, Hyderabad, India February 2019 to August 2019

Cloud Support Engineer

Responsibilities:

Provided technical support and troubleshooting for cloud infrastructure issues across AWS environments.

Assisted in deploying, configuring, and maintaining cloud-based applications, virtual machines, storage, and networking components.

Streamlined AWS cloud deployments and optimized Java application builds with Maven, Git for version control, and Docker for efficient containerization, improving deployment speed and consistency.

Managed user access, IAM policies, and security configurations to ensure compliance with organizational standards.

Launched and configured Amazon EC2 instances (Linux/Ubuntu/RHEL) for specific applications.

Worked on the design and implementation of a fully automated Jenkins CI/CD pipeline, seamlessly integrating unit tests, integration tests, and security scans to ensure secure, high-quality code deployment.

Involved in Kubernetes cluster management, ensuring high availability and scalability.

Configured Chef Cookbooks, Recipes, Templates, and Attributes for deployment across servers.

Developed and maintained Prometheus metrics exporters for Kubernetes, Docker, Linux servers, and application components to collect performance and health data.

Provided 24/7 on-call support for emergency site maintenance and immediate build and install requests.

Environment: Python, Docker, Kubernetes, Amazon Web Services (AWS), Terraform, AWS CloudWatch, GIT, Jenkins, Chef, Prometheus and Grafana, Maven, Windows, Jira

EDUCATION

Masters in Computer Science and Information, Lindsey Wilson College, Columbia, Kentucky

CERTIFICATIONS

Microsoft Certified: Azure DevOps Expert (AZ-400)

Microsoft Certified: Azure Administrator Associate (AZ-104)

AWS Certified Cloud Practitioner

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