Kenneth A.

• Participation in the precise technical scoping of business and technical needs related to the migration and synchronization of interim profiles (duplicate management, strict mapping rules for business and address repositories, migration time constraints).

• Co-design and implementation of a secure AWS architecture, based on a Serverless approach (AWS Lambda, API Gateway, EventBridge, DynamoDB, SQS), with a particular focus on observability (monitoring, logging, alerting), to ensure the resilience, idempotence, and security (Privacy by Design) of the sensitive data handled (candidate profiles, salary information).

• Detailed technical scoping of Data & AI needs (volume, data sources...) to guide architectural choices and selected AWS services.

• Definition and implementation of a secure Landing Zone via AWS Control Tower, including the complete structuring of AWS accounts (Security OU, Sandbox OU), to ensure the security, traceability, and cost control of the Data & AI MVP.

• Design of a Data & AI solution based on AWS Glue DataBrew (data preparation and transformation), Amazon SageMaker Canvas (nocode training and Batch Transform deployment), and Amazon QuickSight (visualization), covering the entire model lifecycle – from data preparation to inference – to address stock and supply optimization challenges.

• Detailed cost modeling, budget definition and dynamic alerts, proactive optimization of AWS consumption, and expense governance to ensure rigorous and sustainable control of total operating cost.

• Technical coordination and operational support to ensure rapid, secure implementation in compliance with AWS best practices, thereby facilitating the upskilling of internal teams on Cloud environment management.

• Leadership of the development and APIs for AI models based on Python Fast API and TensorFlow, deployed on Azure Kubernetes Services (AKS) and an on-Prem cluster to accelerate the development cycle of the tire tread design application.

• Creation of Terraform templates and Gitlab components to automate cloud infrastructure configuration, including PostgreSQL databases, Redis cache servers, and secure key management with HashiCorp Vault.

• Training and technical support for development teams, focusing on knowledge transfer and the adoption of DevOps best practices by junior engineers and operations teams.

• Critical analysis and selection of technologies to optimize costs and delivery times, integrating low-code solutions such as Dataiku for efficient AI model deployment.

• Coordination of API flow management for seamless integration and communication between developed APIs and frontend applications or heavy clients (C++...)