Taieb Ben Achour

• implemented Kubernetes clusters to enhance application performance.
• Automated deployments using Gitlab CI/CD pipelines, reducing time to market for new features.
• Increased system reliability with proactive monitoring and timely issue resolution through tools like Prometheus and Grafana
• Ensured the supply chain security of the solutions from development to production
• Documented and developed engineering procedures and processes.
• Collaborated with development teams to ensure seamless integration of platform services and applications.
• Evaluated emerging technologies to drive innovation in platform engineering strategies and solutions.

Tools: Kubernetes, Gitlab, Prometheus, Grafana, Argo workflows...

Integration and industrialization of proprietary and internal applications:

• Regular exchanges and workshops with editors/developers
• Application packaging
• Creation of the CI/CD pipeline (Bitbucket, Jenkins, XL Deploy, XL Release)
• Writing documentation (ReadMe, operational documents, etc.)
• Post-delivery support
• Continuous improvement through automation:
  Coaching on configuration-as-code deployment with the DevOps team
  Automation of packaging and creation of XL Deploy deployables via Maven archetype creation and Python 3 scripts
  Collaboration with the Standards team to implement generic Shared Libraries according to the application type
  Implementation of XL Deploy patterns facilitating deployment of Datastage deliverables

Technologies used:
Bitbucket, Jenkins, XL Deploy, XL Release, OpenShift, Apache httpd, Apache Tomcat, Datastage, SonarQube, JBoss, Oracle, SQL Server

• Development of a Python CLI enabling static code analysis automation for development teams while managing access control, reporting, dynamic project creation, and disk space management policies.
  The tool deployment is also automated with a configuration management tool.
  Tools: Klocwork, Python 3, Bitbucket, Docker, Ansible, Jenkins

• Implementation of an ELK monitoring and data collection tool, ensuring ease of deployment with Ansible and access management.
  The objective is near real-time collection of logs and metrics from the entire software factory.
  Tools: Elasticsearch, Logstash, Kibana, Metricbeat, Filebeat, ElastAlert, SearchGuard, Ansible, Docker, Jenkins

• Development of a CLI enabling the automation of functional tests focusing on payment terminals. Tools: Wine, Docker, Ansible, Python, Jenkins, Bitbucket, IngPackager

• Migration of the existing test server architecture to Kubernetes.

• Comparative study between Sonatype Nexus and JFrog Artifactory
• Improvement of Jenkins pipelines

• Administration of the entire software factory (Atlassian suite, SVN, and Jenkins)
• Implementation of a monitoring tool and a data collection and aggregation tool, as well as automation of their deployment and integration into the CI system
• Artifact releasing using Bamboo
• Creation of Jira workflows to integrate them into the CI via shell and Python scripts
• Continuous improvement of existing processes across different teams (meetings, proposals, automation, etc.)

Implementation of a continuous integration chain ensuring automation of build, test, quality, and archiving. Continuous delivery:

• Setup and configuration of all tools
• Automatic deployment of artifacts into Nexus
• Automatic deployment of microservices in a Dockerized test environment
• Performance tests launch (JMeter)
• Deployment to a pre-production environment based on the Kubernetes orchestrator while ensuring replication and load balancing of microservices
• Alerting using Slack

Tools: Docker, Ansible, Kubernetes, Nexus, Maven, Git-SCM, JMeter

• Development of a Java application serving as a monitoring system for a WiFi access network. (Java Swing MVC, SSH, OpenWRT)

• Implémentation de l'architecture réseau de la banque (GNS3)
• Administration système.