Dali Dhifallah

Member of a multidisciplinary team (development, system, infrastructure, PostgreSQL DBA) responsible for maintaining and evolving the Mirakl application hosting platform based on Kubernetes.

Maintaining and improving tools and infrastructure to support scalability, security, and the growing needs of internal teams.

Monitoring production platforms, managing incidents, and assisting development and support teams.

Planning quarterly roadmaps, considering security and scalability requirements.

Implementing Infrastructure as Code and Immutable Infrastructure principles with a systematic approach to code reviews.

Managing Kubernetes clusters distributed across five continents, processing over 100 million HTTP requests daily.

Automating processes to reduce workload and optimizing hosting costs in a context of continuous growth.

Technical Environment:

Kubernetes, Docker, Terraform, Ansible, AWS, GCP, PostgreSQL, Elasticsearch, Datadog, Python, Bash, Cloudflare, Datadog, ArgoCD, ArgoWorkflow, github, Teleport,

DevOps Engineer

Member of the cross-functional "DevOps Chapter" team, responsible for the architecture department's applications, and participating in the commerce department's activities

- Define the core DevOps process for all developers

- Build and maintain a global continuous integration system

- Build and maintain continuous delivery and deployment for projects

- Help developers use the GitFlow model

- Implement the "You Build It, You Run It" paradigm

- Design new cross-functional services such as the CI skeleton, Docker base images, Helm base templates

- Work as a cloud referent with new project teams, help them set up their GCP environment

- Automate GCP service provisioning with Terraform (k8s, Cloud SQL, Storage, Memorystore...)

- Deploy environments in CI/CD to improve the fail-fast paradigm

- Optimize and audit GCP and k8s cloud architecture for real projects

- Work with the RUN team to adopt monitoring and master the tool (dynatrace)

- Provide L3 support for legacy applications on AWS ECS

- Optimize GCE costs (scheduler + label)

GCP, Kubernetes, GKE, BigQuery, Terraform, Ansible, Helm, Dynatrace, Kong, Gitlab CI, Docker, AWS ECS, HELM, Python GCP SDK (BigQuery, BigQuery Transfer) context

- Manage an Oracle PaaS on behalf of AXA, this PaaS runs HR management/Talent acquisition solutions

- IaaC with terraform

- Manage Weblogic, OracleDB, SOA instances

- Deploy and manage API management tool

- Administer kubernetes clusters

- Dockerize legacy applications

- Write and maintain helm charts in order to deploy applications to kubernetes

- Implement CI/CD pipelines

- Automate various tasks