DevOps Engineer with 4 years of experience in cloud infrastructure, CI/CD pipeline development, and automation. Expertise in optimizing performance, ensuring scalability, and implementing security best practices. Skilled…
DevOps Engineer with 4 years of experience in cloud infrastructure, CI/CD pipeline development, and automation. Expertise in optimizing performance, ensuring scalability, and implementing security best practices. Skilled in driving reliable and efficient solutions to support business growth and innovation.
Managed and optimized multiple large scale Kubernetes clusters with high availability, security, and GitOps workflows (GitLab).
Performed quarterly AKS upgrades and enforced fine-grained RBAC for developers.
Achieved 60% reduction in infrastructure costs by leveraging SPOT instances, scheduled workload shutdowns, resource right-sizing, AWS Reserved Instances, and Savings Plan.
Designed reusable Terraform modules for AWS.
Delivered a secure, scalable template for ECS based 3-tier architecture with VPC, load balancing, and security controls.
Built Python scripts for infra automation (cluster health, CI/CD checks, resource updates).
Led POCs to assess new DevOps tooling.
Mentored a team of 5 engineers on DevOps best practices, reliability, and platform scaling.
Kubernetes & GitOps: Managed and optimized mutiple large scale Kubernetes clusters with high availability, security, and GitOps workflows (GitLab). Performed quarterly AKS upgrades and enforced fine-grained RBAC for developers., FinOps & Cost Optimization: Achieved 60% reduction in infrastructure costs by leveraging SPOT instances, scheduled workload shutdowns, resource right-sizing, AWS Reserved Instances, and Savings Plan., Infrastructure as Code (IaC): Designed reusable Terraform modules for AWS. Delivered a secure, scalable template for ECS based 3-tier architecture with VPC, load balancing, and security controls., Automation & Tooling: Built Python scripts for infra automation (cluster health, CI/CD checks, resource updates). Led POCs to assess new DevOps tooling., Leadership & Mentoring: Mentored a team of 5 engineers on DevOps best practices, reliability, and platform scaling.
Streamlined deployments with Azure DevOps, GitLab and Jenkins pipelines, reducing release time and improving consistency.
Built and maintained custom Docker images tailored to application needs, ensuring reliable and efficient container deployments.
Led proof-of-concept (POC) initiatives to evaluate DevOps tools for performance, integration, and scalability, aiding in strategic tool adoption.
Delivered high-quality support by diagnosing and resolving Kubernetes and infrastructure issues across multiple environments.
Worked closely with development teams to enable seamless application deployments to Kubernetes, offering best practices and operational guidance.
Integrated SonarQube (code quality), MAIA (security scans), and automated test stages into release pipelines.
Ensured high availability and improved uptime using monitoring, scaling, and fail-over strategies.
Set up observability with Datadog, CloudWatch, Cloudtrail, Prometheus, Grafana, Azure Monitors.
CI/CD Automation: Streamlined deployments with Azure DevOps, GitLab and Jenkins pipelines, reducing release time and improving consistency, Containerization & Docker: Built and maintained custom Docker images tailored to application needs, ensuring reliable and efficient container deployments., DevOps Tooling POCs: Led proof-of-concept (POC) initiatives to evaluate DevOps tools for performance, integration, and scalability, aiding in strategic tool adoption., Customer Support & Troubleshooting: Delivered high-quality support by diagnosing and resolving Kubernetes and infrastructure issues across multiple environments., Cross-Functional Collaboration: Worked closely with development teams to enable seamless application deployments to Kubernetes, offering best practices and operational guidance., Code Quality: Integrated SonarQube (code quality), MAIA (security scans), and automated test stages into release pipelines., Infrastructure Reliability: Ensured high availability and improved uptime using monitoring, scaling, and fail-over strategies., Monitoring & Observability: Set up observability with Datadog, CloudWatch, Cloudtrail, Prometheus, Grafana, Azure Monitors.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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