Senior DevOps/SRE Engineer - Cloud & Kubernetes

Ravi Rayala

Senior DevOps Engineer SRE

Email: ************@*****.*** Ph: +1-469-***-****

LinkedIn: https://www.linkedin.com/in/ravi-rayala

Professional Summary:

Senior Certified DevOps & Site Reliability Engineer with 12+ years of experience working with Unix/Linux systems, cloud-native platforms, and distributed infrastructure. Strong expertise across Linux kernel-level operations, system libraries, file systems, networking stack, and shell scripting. Hands-on experience operating large-scale distributed systems and client-server platforms using Kubernetes, NGINX, ELK stack, and cloud-native technologies across AWS, GCP and Azure. Strong background in TCP/IP networking, DNS, load balancing, and secure API communication in enterprise and carrier-grade environments. Experienced in reading and maintaining Python scripts for platform automation, monitoring, and infrastructure operations.

Strong experience working with Linux (file systems, process management, memory management, networking stack, system libraries).

Experience in building and operating a production-grade cloud-native platform on GCP (Google Cloud Platform) using GKE, Terraform, Docker, Kubernetes, and GitOps (Argo CD), enabling secure, scalable microservices deployments with CI/CD pipelines (Jenkins, GitHub Actions), service mesh (Istio), and strong security practices (Vault, IAM, RBAC, Workload Identity).

Strong in designing end-to-end data, observability, and reliability systems including event-driven architectures (GCP Pub/Sub, GCP Cloud Functions), ML and analytics pipelines (GCP Vertex AI, GCP BigQuery, Airflow), and full SRE practices with monitoring, tracing, SLOs, and centralized observability (Prometheus, Grafana, Cloud Monitoring).

Experience in designing and implementing enterprise landing zone architecture using AWS Control Tower with centralized governance, integrating AWS Organizations, IAM Identity Center, and SCP policies for secure multi-team access control while automating provisioning via Terraform and AWS CLI.

Experience in implementing Multi-Account Strategy across global environments, enabling workload isolation, cost allocation tagging strategies, and centralized billing dashboards using AWS Cost Explorer and QuickSight.

Strong background in AWS (EC2, VPC, ELB/ALB, Route 53) and Azure (VMs, VNets, Load Balancer, Application Gateway) for scalable infrastructure design.

Skilled in designing and managing cloud storage solutions (S3, EFS, RDS, Elastic Cache, Blob Storage, Azure SQL).

Hands-on experience designing cross-cloud and hybrid architectures across AWS and Azure.

Extensive experience with Kubernetes (EKS/AKS), Docker, Helm, and microservices-based architectures for scalable deployments.

Expertise in Kubernetes operations, Helm charts, GitOps (ArgoCD), and cluster lifecycle management.

Supported GCP based workloads leveraging Pub/Sub, Cloud Run and VPC networking, integrating services into hybrid cloud architectures and assisting with deployment, monitoring, and incident troubleshooting.

Experience in building CI/CD pipelines using Jenkins, GitHub Actions, and ArgoCD to deploy containerized microservices on Amazon EKS with Helm charts, while enforcing compliance guardrails established through AWS CloudTrail and AWS Config.

Experience implementing event-driven architectures (Kafka, Event Grid) for distributed systems.

Proficient in Infrastructure as Code (Terraform, CloudFormation, ARM Templates) for automated infrastructure provisioning.

Experience with AWS native automation approaches and YAML based orchestration, with working knowledge of AWS Systems Manager (SSM) concepts including automation documents and configuration management

Hands-on experience implementing GitOps-based deployment strategies using ArgoCD and Flux CD for automated, declarative Kubernetes application delivery and cluster state reconciliation

Built high-availability CI/CD systems using GitLab CI, Jenkins agents on EC2 Auto Scaling groups, and artifact storage in Nexus Repository Manager.

Familiar with AWS Systems Manager (SSM) capabilities including Run Command, Parameter Store, and Automation Documents for centralized instance and configuration management

Strong experience with Ansible, YAML-based configuration management, and multi-cloud automation.

Skilled in automation using Python, Shell scripting, JavaScript, and system-level scripting across Linux environments.

Strong experience in building and maintaining CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, Azure DevOps.

Experience designing enterprise CI/CD frameworks, including build, test, and deployment automation.

Experience in implementing infrastructure automation workflows using AWS Account Factory for Terraform (AFT) to standardize account provisioning, integrating Terraform modules, S3 backend state management, and DynamoDB locking for scalable multi-account deployment.

Hands-on experience integrating CI/CD pipelines with containerized applications and cloud infrastructure.

Deep understanding of DevSecOps practices, integrating security, compliance, and quality gates into CI/CD pipelines.

Experience with SonarQube, OWASP, Trivy, and artifact repositories (Nexus) for code quality and vulnerability scanning.

Knowledge of cloud security best practices, including IAM, encryption (KMS), network security, and compliance standards (CIS, SOC2).

Hands-on experience with monitoring and observability tools (Prometheus, Grafana, ELK Stack, Splunk, CloudWatch, Azure Monitor).

Experience in system performance monitoring, alerting, and incident troubleshooting in distributed environments.

Strong understanding of Source Control Management (GitHub, GitLab, Bitbucket) and branching strategies.

Experience with web/application servers (NGINX, Apache, Tomcat) and databases (MySQL, PostgreSQL, Oracle, Aurora).

Experience analyzing and troubleshooting client-server architectures, distributed systems, and production environments.

Strong understanding of TCP/IP, DNS, HTTP/S, load balancing, routing, and carrier-grade infrastructure environments.

Technical Skills:

Cloud Platforms

AWS (EC2, VPC, ELB/ALB, Route 53, S3, RDS, EKS, Lambda, CloudWatch), GCP (GKE, Cloud Run, Pub/Sub, BigQuery, Vertex AI, Cloud Functions), Azure (VMs, VNet, AKS, App Gateway, Azure Monitor)

Containers & Orchestration

Docker, Kubernetes (EKS, AKS, GKE), Helm, Istio, Argo CD, Flux CD

CI/CD & DevOps Tools

Jenkins, GitHub Actions, GitLab CI, Azure DevOps, AWS CodePipeline, Maven

Infrastructure as Code (IaC)

Terraform, CloudFormation, AWS CDK, ARM Templates

Configuration & Automation

Ansible, Shell Scripting, Bash, PowerShell, Python

Observability & Monitoring

Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, CloudWatch, Azure Monitor, GCP Cloud Operations Suite, Datadog, OpenTelemetry

Networking & Protocols

TCP/IP, DNS, HTTP/HTTPS, Load Balancing, VPN, Firewalls, Routing, NGINX

Security & DevSecOps

IAM, RBAC, KMS, Vault, SonarQube, OWASP, Trivy, CIS Benchmarks, Security Groups, Secret Manager

Messaging & Streaming

Kafka, GCP Pub/Sub, Azure Event Grid

Databases & Storage

MySQL, PostgreSQL, Oracle, Aurora, Redis, Elasticsearch, S3, EFS, Azure Blob Storage, Cloud SQL

Programming & Scripting

Python, Bash, Shell, Java, JavaScript, Groovy

Version Control

Git, GitHub, GitLab, Bitbucket

Build & Artifact Tools

Maven, Nexus, Docker Registry, Google Artifact Registry, AWS ECR, Azure ACR

Data & AI/ML (GCP)

BigQuery, Vertex AI, Airflow (Cloud Composer), MLflow, Kubeflow Pipelines

Web & App Servers

NGINX, Apache, Tomcat

Operating Systems

Linux (RHEL, Ubuntu, CentOS), Unix

Professional Experience:

Client: PennyMac, Agoura hills, CA, USA. Aug 2025 – Till Date

Role: Senior DevOps Engineer/SRE

Responsibilities:

Built and maintained a production-grade microservices platform on Google Kubernetes Engine (GKE), supporting multiple business applications across dev, staging, and production environments with strict isolation and controlled release pipelines, integrated with Cloud Load Balancing and Cloud DNS for traffic routing.

Built event-driven microservices using GCP Cloud Pub/Sub and Cloud Functions for scalable fintech workflows, supporting banking transactions and loan processing with secure, compliant, and auditable data flows (KYC/AML aligned).

Managed container orchestration platforms using Kubernetes and Docker, optimizing workloads on EKS with Horizontal Pod Autoscaler, Prometheus monitoring, and Grafana dashboards for real-time observability.

Optimized Kubernetes deployments with Helm, Kustomize, and Istio service mesh, improving traffic routing, observability, and service-to-service security.

Designed infrastructure provisioning using Terraform (IaC) to manage GCP GKE clusters, VPC networks, IAM roles, Cloud SQL, Cloud Storage, and load balancers, ensuring fully version-controlled and reproducible environments across all stages.

Supported financial domain integrations including banking transactions, loan origination, and repayment processing workflows, ensuring system reliability for time-sensitive financial operations such as disbursements, EMI calculations, and account reconciliation.

Used Ansible for post-provisioning configuration management, automating OS-level setup, package installation, security hardening, and application bootstrap across compute instances and hybrid workloads, integrated with Google Compute Engine (GCE) based nodes.

Implemented CI pipelines using Jenkins and GitHub Actions for build, testing, security checks, Docker image creation, and deployments, ensuring compliance with banking and financial regulatory standards (auditability and secure release practices).

Containerized all microservices using Docker, standardizing runtime environments and maintaining consistent deployment artifacts across development and production, optimized for deployment on GKE and Cloud Run.

Managed Kubernetes deployments using Helm charts, enabling parameterized configurations, version-controlled releases, and rollback strategies for production workloads, backed by GCP Cloud Logging for deployment observability.

Introduced Argo CD for GitOps-based continuous deployment, ensuring Kubernetes manifests were automatically reconciled from Git repositories across multiple GKE clusters and regions.

Architected cloud networking solutions using VPC, Transit Gateway, Route 53, and Security Groups, ensuring secure inter-account connectivity and hybrid connectivity with on-premises systems via VPN and Direct Connect.

Implemented HashiCorp Vault integration for centralized secrets management, alongside Google Secret Manager for native GCP secret storage, eliminating hardcoded credentials across services.

Built secure GKE clusters with RBAC, namespaces, network policies, and Workload Identity, enforcing least-privilege access and integrating with GCP Cloud IAM and Security Command Center for posture monitoring.

Configured service mesh using Istio, enabling traffic management, mTLS encryption, circuit breaking, and observability between microservices, with telemetry exported to Cloud Monitoring and Prometheus.

Designed CI/CD workflows integrating Docker, Jenkins, Terraform, and Ansible, creating an end-to-end pipeline from infrastructure provisioning to application deployment, including automated builds using Cloud Build for select workloads.

Developed automation scripts using Python and Bash, leveraging Google Cloud SDK (gcloud), kubectl, and gsutil for resource lifecycle management, monitoring checks, and operational cleanup tasks in GCP environments.

Integrated distributed tracing using OpenTelemetry and Honeycomb, alongside GCP Cloud Trace, enabling full request tracing across Kubernetes services and significantly improving root cause analysis speed.

Defined and enforced SLO/SLI-based reliability engineering practices using Cloud Monitoring SLOs, reducing alert noise and aligning system performance metrics with business expectations.

Managed application deployments on both GKE and GCP Cloud Run, enabling hybrid execution models for long-running services and serverless workloads based on usage patterns.

Implemented infrastructure as code standards using Terraform Cloud, remote state locking, and policy-as-code enforcement with Sentinel for governance and compliance.

Designed disaster recovery and backup strategies using AWS Backup, cross-region replication for S3, and automated RDS snapshot scheduling for business continuity.

Orchestrated infrastructure provisioning pipelines using AWS Control Tower, integrating landing zone extensions, SCP enforcement, and automated account baseline configuration scripts.

Built data pipelines using Apache Airflow (Cloud Composer), orchestrating ETL workflows and ML preprocessing jobs with dependency management and retry logic.

Leveraged GCP BigQuery for large-scale analytics and reporting, optimizing query performance using partitioning and clustering strategies for high-volume datasets.

Delivered enterprise governance model using Multi-Account Strategy, separating workloads by dev, test, and prod environments while enforcing centralized logging with AWS CloudWatch and Splunk integration.

Supported production workloads on GCP using Pub/Sub, Cloud Run, and managed networking services, contributing to deployment automation, monitoring, and troubleshooting within hybrid cloud environments.

Implemented machine learning lifecycle workflows using Vertex AI, integrating model training, validation, deployment, and monitoring into automated pipelines.

Used MLflow and Kubeflow Pipelines for experiment tracking, model versioning, and reproducible ML workflows, ensuring controlled model promotion to production.

Developed Shell, Bash, and PowerShell scripts for cross-platform automation tasks including infrastructure validation, deployment checks, and incident response actions.

Implemented centralized observability using Prometheus, Splunk, Datadog, Grafana, and GCP Operations Suite (Cloud Monitoring, Cloud Logging, Trace), providing real-time dashboards for system health, latency, and error tracking.

Established full SRE operations model, including on-call rotations, incident response workflows, postmortem analysis, capacity planning, and proactive scaling strategies, supported by Cloud Monitoring alerting and logging insights.

Environment: Google Kubernetes Engine (GKE), Terraform, Ansible, Jenkins, GitHub Actions, Docker, Helm, Argo CD, Istio, HashiCorp Vault, Google Secret Manager, Cloud Load Balancing, Cloud DNS, Cloud Pub/Sub, Cloud Functions, Cloud Run, Google Artifact Registry, Cloud Monitoring, Cloud Logging, Prometheus, Grafana, OpenTelemetry, BigQuery, Vertex AI, Apache Airflow (Cloud Composer), MLflow, Kubeflow Pipelines, Datadog, Python, Bash, Google Cloud SDK (gcloud).

Client: Centrica PLC Oct 2022 – June 2025

Role: Sr. Site Reliability/DevOps Engineer

Responsibilities:

Architected and operated highly available, distributed systems across AWS and Azure, supporting large-scale client-server applications with strict uptime and latency requirements.

Automated infrastructure provisioning using Terraform and Ansible, enabling repeatable deployments of EC2, RDS, and S3 resources while maintaining version control through Git-based workflows.

Supported and maintained production grade distributed platforms including Kafka and ELK stack across hybrid (on prem + cloud) environments, handling cluster operations, performance tuning, upgrades, and incident troubleshooting

Managed and optimized Linux-based systems at scale, including kernel-level tuning, memory management, file systems, and process-level performance troubleshooting.

Implemented and operated L4/L7 traffic management solutions using NGINX, cloud load balancers, and ingress controllers for scalable and fault-tolerant services.

Managed and supported distributed data platforms including Kafka, Elasticsearch (ELK) and Redis in hybrid production environments

Designed and supported client-server architectures and REST-based APIs using HTTP/S, TCP/IP, and secure authent

Implemented centralized logging and monitoring using ELK stack (Elasticsearch, Logstash, Kibana) for system observability and incident troubleshooting.

Designed and implemented YAML-based automation workflows using Ansible and AWS-native tooling, aligning with AWS Systems Manager (SSM) automation document patterns for infrastructure operations and configuration management

Developed serverless automation solutions using AWS Lambda, EventBridge, and Step Functions, reducing operational overhead and improving event-driven system responsiveness.

Automated multi-account infrastructure provisioning using AWS Account Factory for Terraform (AFT) combined with Terragrunt modules, enabling consistent environment replication across regions.

Designed and provisioned AWS infrastructure using AWS CDK, creating reusable constructs and synthesizing CloudFormation templates to automate deployment of scalable cloud resources.

Performed observability and monitoring with Prometheus, Grafana, Helm, CloudWatch (AWS), Azure Monitor, Log Analytics, and Application Insights to ensure system health and performance.

Collaborated with cross-functional teams to troubleshoot and resolve infrastructure and deployment issues, ensuring minimal downtime in production.

Architected and automated Kubernetes (EKS/AKS) deployments using Helm charts, Terraform, and GitOps workflows (ArgoCD) to ensure consistency, scalability, and governance.

Automated Kubernetes deployments using Helm charts and GitOps with ArgoCD; managed container registries with AWS ECR and Azure ACR.

Worked with AWS CDK to define and provision cloud infrastructure using reusable constructs, complementing existing Terraform and CloudFormation-based automation

Led Kubernetes deployment standardization, creating Helm chart repositories, base templates, and cluster security baselines to support multiple delivery teams.

Collaborated with integration teams on event-driven architectures leveraging Kafka and Azure Event Grid for reliable message streaming and real-time data synchronization across hybrid workloads.

Implemented secure identity and access management using AWS IAM roles, policies, and federated authentication integrated with Active Directory and Okta for enterprise SSO.

Automated infrastructure provisioning using Terraform (AWS & Azure) and Ansible Playbooks in YAML for configuration management.

Designed reusable Terraform and Helm modules and standardized cluster security baselines.

Implemented cross-cloud integrations (Azure, AWS) through ADO for hybrid workloads and data pipelines using Terraform, Ansible, and ArgoCD.

Built immutable, secure VM images using HashiCorp Packer integrated into Jenkins pipelines for consistent, repeatable deployments across AWS and Azure.

Migrated multiple applications from on-premises to cloud using AWS (SMS, CloudFormation, Lambda, API Gateway, Route53, Aurora) and Azure (Migrate, App Services, Functions, DMS).

Developed automation scripts using Python, Shell, Groovy, Java, and TypeScript for builds, deployments, and maintenance tasks.

Architected and standardized enterprise CI/CD frameworks using GitHub Actions, Jenkins, and Azure DevOps, ensuring consistent governance and security across multiple teams.

Built and maintained CI/CD pipelines with Jenkins, GitHub Actions, GitLab CI, and Azure DevOps Pipelines to automate builds, tests, and deployments.

Streamlined release management pipelines using AWS Control Tower, integrating account vending workflows with Service Catalog, CloudFormation StackSets, and automated compliance auditing.

Built CI/CD workflows for React + Python apps deployed across hybrid Azure + AWS infrastructure.

Integrated pipelines with Maven, Bitbucket, SonarQube, Trivy, OWASP, Nexus, and Docker, including Jenkins Multibranch pipelines for Selenium automation testing.

Defined pipeline governance standards and compliance automation using SonarQube, OWASP, and Trivy, enabling audit-ready deployments across multiple delivery teams.

Enforced base image security policies and ensured compliance with CIS benchmarks.

Managed enterprise-scale cloud operations using AWS Account Factory for Terraform (AFT), integrating CI/CD pipelines, GitOps workflows, and automated account lifecycle management across multiple business units.

Built scalable logging and monitoring frameworks using ELK Stack (Elasticsearch, Logstash, Kibana), CloudWatch Logs, and Prometheus exporters for distributed systems observability.

Partnered with architecture, security, and platform teams to embed DevSecOps practices, ensuring compliance with CIS and SOC 2 standards.

Implemented security best practices in AWS (MFA, IAM key rotation, KMS, TLS, NACLs, S3 bucket policies) and Azure (Key Vault, Managed Identities, Disk Encryption, NSG rules).

Environment: Linux (Ubuntu, Red Hat, CentOS), Kubernetes (EKS, AKS), Docker, NGINX, ELK Stack, Prometheus, Grafana, AWS (EC2, VPC, ECS, EKS), Azure, Terraform, Ansible, CloudFormation, Helm, Jenkins, GitHub Actions, GitLab CI, Maven, Python, Networking (TCP/IP, DNS, Load Balancing, VPC), Security (OWASP, CIS Benchmarks)

Client: Worldpay, London, UK & USA Dec 2020 – Sep 2022

Role: Sr. Software Engineer

Responsibilities:

Led the standardization of Azure DevOps (ADO) pipelines across multiple engineering teams, implementing reusable YAML templates, variable groups, and environment gates to improve consistency and compliance.

Led development of cross-platform React Native applications communicating with Python Flask/Azure Functions backends.

Integrated secure REST APIs to synchronize customer and transaction data with Azure AD B2C authentication and JWT-based access.

Led DevOps enablement workshops across teams, accelerating adoption of CI/CD and container-based deployment models.

Supported Kafka-based real-time data streaming between payment services and analytics platforms to ensure low-latency transaction processing and monitoring.

Read, analyzed, and maintained Python scripts used for platform automation, monitoring, CI/CD workflows, and infrastructure orchestration

Enhanced cloud security posture using AWS Security Hub, GuardDuty, and AWS Config rules while implementing automated remediation scripts using Python and Lambda.

Built real-time data streaming and event-driven architectures with Azure Event Grid and SignalR.

Collaborated with compliance teams to ensure data privacy and security in accordance with PCI-DSS and SOC 2 guidelines. Led development of a React Native mobile app integrated with a Python (Flask) backend and Azure Functions for secure financial data access.

Collaborated with PMs using Jira and Confluence to manage sprint planning, story tracking, and release documentation within Agile delivery frameworks

Implemented RESTful API integrations to fetch and sync customer profile and payment records securely using Azure AD B2C and JWT authentication.

Built scalable CI/CD pipelines in Azure DevOps automating React Native builds and backend deployments with Terraform and Helm.

Integrated Kafka pipelines into Azure DevOps CI/CD workflows for automated deployment and testing of streaming microservices.

Conducted DevOps enablement workshops and introduced policy-as-code governance frameworks to align multiple engineering teams.

Worked extensively with networking technologies including TCP/IP, DNS, routing, VPNs, load balancers, and firewall configurations in large-scale enterprise and telecom environments.

If you want to stretch toward carrier-grade (telecom), add:

Supported carrier-grade telecom infrastructure environments with high availability, redundancy, and network traffic management.

Built real-time monitoring solutions integrating Azure Monitor, Log Analytics, and custom Grafana dashboards.

Environment: AWS Cloud, Terraform, Jenkins, Maven, TeamCity, GIT, Chef, Kubernetes, Nexus, SonarQube, Linux, Unix, WebSphere, Java, Python, and Shell script.

Client: Cipla, India (Pharmaceutical Manufacturer) July 2016 – Sep 2019

Role: DevOps Cloud Engineer

Responsibilities:

Leveraged AWS experience (EC2, VPC, S3, RDS, ELB, IAM, and CloudWatch) for effective cloud-based solutions. Administered and supported systems, automation tools, and products with a focus on Amazon Web Services (AWS).

Utilized Kubernetes and Docker for deployment and scaling, enhancing application scalability

Used Ansible for infrastructure builds and configurations, reducing configuration errors by 40%

Managed AWS infrastructure including VPC, EC2, RDS, and ELB, ensuring high availability

Built Kubernetes clusters on AWS with Route53, improving DNS management

Wrote Docker files to containerize monolithic and microservices-based applications, optimizing build layers for faster deployments.

Applied basic Docker image hardening techniques (minimal base images, removal of unnecessary packages) to improve security posture.

Implemented CI/CD pipelines using GitHub and Agile methodologies, increasing release velocity

Build servers using AWS, import volumes, launch EC2, RDS, Security groups, auto-scaling, ELBs in the defined VPC. Established VPC & VPC peering connectivity by making use of Transit Gateway for connecting VPCs and VPN connection to a datacenter.

Proposed and developed solutions for application deployments by making use of AWS code pipelines as compared to native tools for cost management. Implemented CI/CD pipelines using Git Hub Repositories and followed Agile methodologies to streamline development processes.

Worked on a Database Migration Project from the client's data center to Amazon Aurora. Reviewed system and application logs verified completion of automated processes and investigated and troubleshooted incidents and requests.

Applied strong scripting skills using Windows Power Shell, Visual Studio and Putty in Python and Bash for automation tasks.

Maintained a highly motivated and innovative approach, staying up to date with current trends in technology. Exhibited excellent written and verbal communication skills and strong troubleshooting and problem-solving abilities.

Environment: AWS EC2, VPC, S3, RDS, ELB, IAM, Amazon CloudWatch, Amazon Route 53, Amazon Aurora, Kubernetes, Docker, Ansible, GitHub, AWS CodePipeline, Python, Bash

Bharati Airtel, India (Telecom Provider in India) July 2013 – June 2016

Role: Linux Systems Administrator

Responsibilities:

Installation, Maintenance, Administration and troubleshooting of Redhat Enterprise Linux servers on various hardware platforms. Installed Red Hat Enterprise Linux 5.x/6.x, CentOS and installation of packages and patches for Red Hat Linux Servers.

Administered and troubleshot Red Hat Enterprise Linux servers including kernel-level tuning, process management, memory utilization, and system performance optimization.

Managed Linux file systems (ext3/ext4), disk partitioning, LVM, I/O tuning, and storage expansion for high-availability systems.

Configured and optimized system libraries, OS packages, kernel modules, and system services for enterprise telecom infrastructure.

Installation, Management, Configuration of LAN/WAN systems utilizing Cisco switches and routers. Deployed and configured Apache web server, and FTP servers on to Ubuntu machines.

Created disk partitions and file systems and extended storage space using Logical Volume manager. Configured firewall based on Redhat Linux and Ubuntu that have three network interfaces.

Managed existing documentation for systems and created new procedures to support new products. Created documentation for disaster recovery project. Regularly performed user account, group and quota management on Red Hat servers.

Environment: Red Hat Enterprise Linux 5/6, CentOS, Ubuntu, Apache HTTP Server, FTP Server, Cisco Switches & Routers, LVM (Logical Volume Manager), ext3/ext4 file systems, iptables/firewalld, systemd, RPM/YUM.

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