Jorel Ngaleu

Mission: Design and implementation on Microsoft Azure of an artificial intelligence and digital transformation platform, which also provides a pronounced open architecture with powerful enabling capabilities that allow users to evolve easily and continuously.

Achievements:

✓ User and application support and targeted error analysis and troubleshooting with developers in the DevOps model;

✓ Provision of new components, configuration, documentation, update, and decommissioning of components as part of the infrastructure-as-code toolchain; ✓ Validation of infrastructure components as part of deployment to ensure they are in the desired state, then participation in sprint planning and handovers to plan, test, and deploy a secure container-based platform to host applications and facilitate the migration of existing applications and data;

✓ Effective management and monitoring of cloud resource capacity utilization and preparation of cost optimization strategies;

✓ Participation in increasing the operational availability of components and the platform through implemented processes (Component Deployment Process).

Technical Environment:

Microsoft Azure, CloudStack (PaaS and SaaS), particularly Azure DataFactory, DataLake, Kubernetes, Azure SQL, Databricks, Azure IaaS, particularly PIP, Automation, Service Principals, VNet, Resource Groups, Azure LogAnalytics, Microsoft Azure DevOps (formerly VSTS), CI/CD, and GIT.

Project: Build PCI production environments and DevSecOps/OWASP CI/CD Pipelines to deploy 3DSv2 on PSP partners' infrastructures and their various clients.

• Build PCI (Payment Card Industry) production environments for PSP (Payment Service Provider) providers while respecting DSS (Data Security Standard) standards and also meeting PSD2 (Payment Services Directive, version 2) deadlines:

Stacks ==>

Kubernetes, Terraform, AWS, GCP, Microsoft AZURE, VMware Vsphere, VMware Vcenter, VMware ESXI, Linux Centos 7, OpenBSD, Bastion, FreeIPA, RabbitMQ, Posgresql, MongoDB, HA Proxy (Proxy and Load Balancing), FireWall, Patroni.

Supervision and Alerting ==>

Elasticsearh Filebeat Logstash Kibana, Grafana, Dynatrace, OpsGenie;

• Build the DevSecOps CI/CD PCI Pipeline to regularly deploy and update the 3DSv2 protocol at PSP providers such as PayBox (Verifone), PayPal, Nord Pay, Oney Bank;

• Build the DevSecOps CI/CD PCI Pipeline to regularly deploy and update the 3DSv2 protocol at PSP providers' clients such as Monoprix, VeePee, Casino, Naturalia, LaRedoute, Cdiscount:

Stacks ==>

VS Code --> GitLab --> Jenkins --> Nexus --> SonarQube --> Ansible/ Ansible Vault --> Docker Compose --> Kubernetes GKE/EKS/AKS Supervision and Alerting ==> Elasticsearh Logstash Kibana, Grafana, Dynatrace, Slack, OpsGeni.

Position: DevOps Engineer

Mission: Real-time collection of data on carder activities via the anti-carding app with Apache Kafka and transfer of this data into Elasticsearch to produce charts in Kibana and Grafana

Achievements:

✓ Installation and Configuration of Kafka Engine: Configuration of Brokers in Clusters; Parameterization of Partitions; Parameterization of OffSets; Communication test between Apache Kafka, Kafka Producer, and Kafka Consumer by sending a few Topics;

✓ Use of Docker to containerize Anti-carding applications, Kafka Producer, Kafka Consumer;

✓ Orchestration of Containerized Applications with Kubernetes (Kube YAML file configuration, ReplicaSet parameterization, HPA activation for automatic increase or decrease of the number of PODs based on Load, Ingress addition);

✓ Deployment of Containerized and Orchestrated Applications on AWS and Cloudstack Cloud platforms using the following CI/CD: BitBucket -> GitLab -> Nexus -> SonarQube -> Rundeck.

Technical Environment:

Carders -> Anti-Carding App -> Kafka connect API/Producer -> Apache Kafka -> Kafka sink API/Consumer -> Elasticsearch -> Kibana/Grafana