Hamed JLALI

Support and guidance for development teams in the integration and operation of applications. Design and automation of the GCP infrastructure, using Terraform, ensuring reproducible, reliable provisioning compliant with IaC best practices. Development of reusable Terraform modules (GKE clusters, VPC, Cloud NAT, Cloud Router) to standardize deployments and reduce time to market. Implementation of CI/CD pipelines facilitating continuous delivery and rollback management. Setting up production-ready GKE clusters to host migrated applications. Planning and management of changes and deployments, in coordination with the Change Advisory Board (CAB). Management and monitoring of production incidents (Level 2). Automation of repetitive tasks and creation of automated processes to reduce incident resolution time. Development of a Python tool for the automatic creation of custom dashboards on Dynatrace.

Modernization of the LCL Mainframe through its integration into the DevOps environment. Level 2 support for various CI/CD pipeline tools (argocd, gitlab, Jenkins, gitlab runner, sonarqube, artifactory, xray, Kafka). Raising awareness of Kubernetes golden rules during production deployments (resource quotas, rollback strategy, etc.). Level 2 support for diagnosing incidents in production projects. Support from build to run for LCL projects, addressing all questions and pain points encountered by the development teams. Participation in the DevOps transformation program, which aims to identify pain points on the existing Kubernetes platform and implement corrective actions. Evaluation of rollback strategies implemented in the event of an incident following a deployment. Level 2 support for diagnosing incidents in production projects. Implementation of quota resources on the production Kubernetes cluster. Setting up Proof of Concepts (POCs). Setting up automated tasks with Python and Bash. Deployment of infrastructure with Terraform and GitLab. Documentation and support for squads on DevOps culture and tool usage. Setting up monitoring and alerting for microservices on Dynatrace.

Deployment and monitoring of microservices on a Kubernetes cluster (deployment, configmaps, secrets, ingress). Implementation and improvement of CI/CD pipelines (automated testing, build, deployment). Automation of tool deployments using Ansible. Monitoring and alerting of applications via ELK and integration with dashboards. Level 2/3 support for diagnosing and resolving production incidents. Optimization of Kubernetes cluster resources. Implementation of security best practices.