Mahdi M.

𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻, 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗖𝗜/𝗖𝗗 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗤𝘂𝗮𝗹𝗶𝘁𝘆

Migration of CI/CD pipelines from Jenkins to GitLab CI, with the integration of SonarQube to ensure code quality standards, security checks, and continuous code inspection throughout the development cycle.

𝗗𝗡𝗦 & 𝗧𝗿𝗮𝗳𝗳𝗶𝗰 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁

Configuration and management of DNS routing and domain redirections via Cloudflare, improving traffic control and overall service reliability.

𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁

Management of MongoDB backup and restore operations in production and pre-production environments, ensuring data integrity, reliability, and environment synchronization.

𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲

Focused on establishing secure, scalable, and compliant cloud-native environments. Responsibilities include implementing modern access controls, protecting Kubernetes workloads, and integrating proactive vulnerability management into development pipelines to ensure system resilience and reliability.

𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻

Management and automation of infrastructure across multiple AWS environments, leveraging Infrastructure as Code to simplify deployments and improve consistency. Implementation of monitoring, logging, and observability to ensure high availability and performance of distributed systems.

𝗖𝗜/𝗖𝗗 & 𝗖𝗹𝗼𝘂𝗱-𝗡𝗮𝘁𝗶𝘃𝗲 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆

Optimization of CI/CD practices to enable faster, more secure, and more efficient software delivery. Orchestration of pipelines, adoption of GitOps, and scaling of Kubernetes workloads to ensure automation, security, and performance while accelerating innovation.

𝗡𝗲𝘅𝘁-𝗚𝗲𝗻 𝗛𝗮𝗿𝗱𝘄𝗮𝗿𝗲 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗼𝗻

Utilizing Turing Pi 2 to deploy scalable multi-node Kubernetes clusters, automate environments, and enable edge AI applications with support for RK1 and Nvidia Jetson.

𝗘𝗱𝗴𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 & 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀

Orchestration of deployments across multiple Kubernetes distributions (EKS, RKE, K3S).

Deployment and customization of an open-source solution across multiple Kubernetes clusters to ensure seamless communication between sensors, embedded systems, edge devices, and cloud infrastructure.

Development of a custom controller for advanced remote management, real-time monitoring, and optimization of operations in distributed environments.

Enhancement of data flows and command exchanges between edge-based embedded systems and centralized cloud services.