Hussain Zibly

9+ years of experience in IT roles including DevOps, Site Reliability Engineer, Cloud Engineer, and Build and Release Engineer, specializing in automation, integration, deployment, and maintenance on Unix/Linux/VM platforms. Extensive expertise in AWS Cloud Services (EC2, VPC, EBS, RDS, CloudWatch, CloudFormation, IAM, S3), managing full lifecycle, automation, and security for scalable, high-availability environments. Proficient in CI/CD tools for automating build, test, and deployment pipelines, significantly improving development workflows and delivery speed.

Skilled in Terraform for Infrastructure as Code (IaC), automating provisioning and management of AWS infrastructure, and ensuring consistency across environments. Strong experience with Ansible for configuration management, including developing playbooks to streamline system configuration and compliance across environments. Expertise in Docker and containerization technologies, including managing Docker images, registries, Compose, and Swarm for scalable microservices.

Managed and optimized Kubernetes clusters for container orchestration, including implementing auto-scaling, network policies, and rolling updates for highly available deployments. Hands-on experience with OpenShift, including configuring CI/CD pipelines, scaling applications, and managing security and deployment across environments. Security-focused DevOps practices, including securing AWS resources, implementing role-based access control (RBAC) in Kubernetes, and using security scanning tools in CI/CD pipelines.

Implemented Service Level

Objectives (SLOs), Service Level Indicators (SLIs), and SLAs to ensure system reliability and proactively monitor application performance. Automated and optimized incident response workflows, significantly improving Mean Time to Recovery (MTTR) and reducing operational overhead. Designed and maintained observability solutions using AWS CloudWatch, Prometheus, and Grafana, enabling proactive monitoring, alerting, and performance optimization.

Led post-incident reviews to identify root causes, implement corrective actions, and drive continuous improvements in system reliability and operational efficiency. Strong experience in version control with Git, Bitbucket, and SVN, ensuring smooth branching, merging, and collaboration across development teams. Focused on scalability, security, and performance optimization across cloud platforms, containers, and Kubernetes/OpenShift environments, ensuring robust infrastructure for critical applications.

Site Reliability Engineer - JPMorgan Chase - Plano, TX

(2024-12)

• Design and implementation of scalable, high-availability infrastructure, leveraging Kubernetes, Docker, and Terraform.
• Developed and maintained automated CI/CD pipelines using Jenkins, GitLab, and Bitbucket, accelerating deployment cycles.
• Implemented Infrastructure as Code solutions using Terraform, Ansible, and AWS CloudFormation, reducing manual provisioning efforts.
• Monitored and optimized system reliability, performance, and availability by implementing SLIs, SLOs, and alerting with Datadog, Prometheus, Splunk, and Grafana.
• Troubleshot and resolved complex networking issues across AWS, Azure, and on-premises VMware environments, ensuring low-latency and secure communication.
• Automated application deployments and infrastructure scaling using AWS Auto Scaling Groups, Kubernetes HPA, and ECS for improved efficiency.
• Ensured security and compliance by managing IAM roles, policies, security groups, and implementing best practices for cloud security.
• Collaborated with software engineers and platform teams to implement observability, logging, and tracing solutions for proactive issue detection.
• Supported incident management and conducted root cause analysis, leading to reduction in production downtime.
• Advocated and implemented SRE best practices, improving reliability, scalability, and resilience in cloud-native applications.

Site Reliability Engineer - Emirates Airline - Dallas, TX

(2021-09 - 2024-11)

• CI/CD: Demonstrated proficiency in creating and managing CI/CD pipelines using Jenkins with JTE and Ansible. Guided development teams in adopting CI/CD and containerization in OpenShift, fostering streamlined deployment processes.
• Implemented Infrastructure as Code (IaC): Utilized Terraform to design, deploy, and manage Azure, AWS resources, ensuring infrastructure consistency, scalability, and efficiency.
• Managed Cloud Resources: Created and maintained Terraform modules for provisioning Azure and AWS resources, including virtual machines, storage accounts, and networking components.
• Automated Deployment Pipelines: Integrated Terraform scripts with CI/CD pipelines to automate infrastructure deployment and updates, reducing manual intervention and enhancing deployment speed.
• Git Version Control and GitOps: Proficient in using Git for version control, including implementing effective branching strategies. Leveraged GitOps practices to automate and manage infrastructure and application deployments.
• Security and Compliance: Managed AWS IAM roles, policies, and security groups to maintain a robust security posture and ensure compliance with industry standards.
• Scalability and High Availability: Configured AWS Elastic Load Balancing and Auto Scaling groups to handle varying load conditions, ensuring high availability and performance.
• Monitoring and Logging: Deployed AWS CloudWatch and AWS CloudTrail for comprehensive monitoring and logging, enabling proactive incident detection and resolution.
• System Performance Optimization: Conducted regular performance analysis and capacity planning to optimize system scalability, efficiency, and reliability, ensuring seamless operations.
• Application Monitoring and Observability: Implemented AppDynamics and Splunk for comprehensive application and infrastructure monitoring, enhancing performance and reliability.
• Incident Management and Root Cause Analysis: Actively participated in incident response and post-mortem analysis, adept at identifying root causes and implementing preventative measures to enhance system reliability.
• 24/7 Support and Troubleshooting: Provided 24/7 on-call support, promptly resolving critical incidents to minimize downtime and ensure uninterrupted service availability.
• Automation and Operational Efficiency: Scoped and implemented automations using various tools, enhancing operational efficiency and streamlining processes.
• Middleware and Application Management: Managed middleware applications like WebLogic, Spring Boot, and JBoss to ensure optimal performance and stability, including patching to maintain security and performance standards.
• Cross-functional Collaboration: Collaborated with cross-functional teams to troubleshoot and resolve complex network-related incidents, ensuring service reliability and continuity.

DevOps Engineer - SAP Concur - Bellevue, WA

(2021-01 - 2021-04)

• Deployment and Orchestration: Orchestrated containerized applications using Kubernetes, ensuring smooth deployment, scaling, and management within a microservices architecture.
• Infrastructure as Code: Implemented Kubernetes infrastructure using Terraform, automating cluster provisioning and resource configuration for enhanced scalability and reproducibility.
• Cluster Management: Managed Kubernetes clusters across AWS, Azure, and Google Cloud, optimizing performance, cost-efficiency, and resilience as per project requirements.
• Containerization: Utilized Docker containers to package applications and microservices, seamlessly integrating with Kubernetes for efficient deployment and portability across various environments.
• High Availability and Fault Tolerance: Engineered high availability and fault tolerance for critical applications by implementing Kubernetes features like horizontal pod autoscaling, node redundancy, and rolling updates, achieving near-zero downtime.
• Security: Implemented robust security measures within Kubernetes environments, including RBAC policies, network segmentation, and secrets management, ensuring compliance with industry standards and data protection.
• AWS Infrastructure Management: Configured, monitored, and automated AWS services including EC2, IAM, S3, and EBS. Deployed cloud platforms on AWS and managed S3 buckets and Glacier for storage and backup.
• Infrastructure Automation: Automated AWS EC2/VPC/S3/SQS/SNS infrastructure using Terraform, Ansible, Python, and Bash scripts, ensuring efficient and consistent deployment and management.
• Docker Management: Created Docker images using Docker file, managed container snapshots, and maintained Docker volumes to streamline application deployment and management.

Sr. DevOps Engineer - Capgemini - Atlanta, GA

(2018-05 - 2020-12)

• CI/CD Management: Managed CI/CD pipelines using Jenkins, automating build, test, and deployment processes for seamless software delivery.
• Version Control Integration: Integrated Jenkins with GIT and SVN for version control, automating release builds and nightly Subversion builds.
• Build Automation: Set up Jenkins jobs for build/test automation, managing GIT branches and merging to streamline development workflows.
• AWS Infrastructure Implementation: Deployed AWS infrastructure using Terraform for EC2, VPC, S3, IAM, and Auto Scaling.
• Cloud Platform Expertise: Designed and maintained cloud environments on AWS and Azure, provisioning resources and automating deployments.
• Kubernetes and Docker Orchestration: Deployed and managed Docker containers using Kubernetes and automated resource provisioning with Terraform in AWS.