Geoffrey Muselli

As a senior cloud Architect I am in charge of building for my clients strong, secured, resilient and cost effective infrastructure. As a Platform Engineer I am building powerful deployment model based on cloud native (such as operator development), Gitops philosophies to speed up releasing and improve time to market.

Context: With dozens of people across several teams the Data Platform Group is supporting the entire data lifecycle at Ubisoft. From raw events ingestion to ML and analytics tools export, the DPG is processing millions of events per seconds, hosting some of the biggest Kafka clusters in the industry and petabytes of data. The AR platform is building standards dataset for games acquisition and retention within the DPG. For the DPG: - Design and lead a shared platform based on open/inner source model - Redesign the entire application lifecycle model of the DPG based on Gitops / cloud native philosophies - Put in place strict access control using Azure AD, IAM, KMS, Kubernetes RBAC, Kyverno, ESO and Argo Projects - Put in place generic secret management to support SSM & Vault - Manage Kubernetes Clusters in all environments from dev to uat and production - Lead technical streams around cloud native initiatives - Animate Platform sync to coordon DevOps and tech lead - Participate to kubecon in Detroit - Train DevOps to cloud native and Gitops philosophies - Coordinate with PM, team leaders and tech leads to align platform & products roadmaps - Put in place Finops strategy - Contribute to ArgoCD to make it compliant with DPG needs & fix bugs For the AR platform: - Design deployment model to support the entire Ubisoft catalogue on AR platform (~ 400TB of data) - Contribute to ArgoCD project to support Go templating in the appset controller - Contribute to Prometheus JMX exporter to support Kafka Stream State metric - Implement Kubernetes Operator to provision Spark Jobs in Livy - Manage multiple Kafka Clusters receiving 100 of kilo events/seconds - Design a tiered strategy for Kafka clusters based on daily activity - Implement Kubernetes centric tools to orchestrate data move between Kafka clusters (ex: move low activity game to cold) - Design event driven orchestrators based on Argo events, Argo workflow and Keda - Manage a 22TB Timescaledb using cloudnative PG

As Senior Platform Engineer and Cloud Specialist I was in charge of helping Cloud Migration Team putting in place processes and monitoring solutions around Firewall / DNS.

Context: Amadeus e-retail is the Amadeus E-commerce solution. It is used by the major airlines such as Korean Air, Southwest, Qantas, Lufthansa or Aegean. The SLA is 99.99% and it can be configured with more than 2000 parameters. Missions: - Lufthansa / Southwest: Design, build and test payment and ticket Issuance features on the e-retail E-commerce applications. - Non regression: Develop (alone) an internal non-regression tool which covered 90% of the code and almost 100% of the features

Missions: - Concept develop and test features around Combat Management System sensors - Develop non-regression software tool for internal distributed applications using Java for the testing core components, Python and XML for the QA test writing Environment: Java, SQL, Python, XML, HTML, CSS, Javascript