À propos de Jérémy
My various experiences and formations and my natural curiosity help me quickly deal with new problems with creativity and efficiency.
Responsibilities in my previous experience included developing from scratch and maintaining the company product's DevOps pipeline, allowing me to discover and use the most standard tools for each step: Terraform, Kubernetes, Prometheus, GitHub Actions, and so on.
Among my biggest assets, I am very proficient in Terraform and had the opportunity to use the native autoscaling solutions of AWS, Azure, and GCP.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- iRaiserCloud and Security LeadEDITION DE LOGICIELSoctobre 2023 - Aujourd'hui (2 ans et 8 mois)Nantes, FranceI currently work at iRaiser (end client of iPepper, the consulting firm I'm part of), where I lead a cloud engineering team supporting iRaiser’s three main products.I was brought in to strengthen and structure DevOps and platform engineering practices. Since then, I’ve led several key initiatives, including:Migrating a WireGuard VPN setup from a legacy environment to AWS with built-in redundancyManaging critical database and server migrationsEnhancing platform security and scalability by implementing Cloudflare, AWS WAF, and conducting a comprehensive security audit of servers and Jenkins-based CI/CD pipelinesImproving internal tooling to streamline onboarding and management of over 1,000 customer environments in a single-tenant architectureI also helped build and mentor a small, efficient internal cloud team, enabling better collaboration and long-term platform resilience.
- MindeeLead DevOpsEDITION DE LOGICIELSaoût 2022 - juillet 2023 (11 mois)Paris, France- Led DevOps processes within a team of 4 DevOps- Involved in hiring processes for new DevOps roles, creating technical assessments and conducting interviews- Performed a migration of Deep Learning inference clusters from AWS to GCP- Creation of MLOps pipeline from R&D to production, reworking Python and Docker packaging and deploying on Kubernetes with Spinnaker
- MindeeDevOps ArchitectEDITION DE LOGICIELSfévrier 2020 - août 2022 (2 ans et 6 mois)Paris, France- Implemented and maintained a complete continuous delivery pipeline from scratch for 15+ microservices.- Deployed a multi-cloud app architecture to serve hundreds of deep learning models with complex computation sequences. Implemented zero-downtime (blue/green) deployments and autoscaling.
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Formations
- Diplôme d'ingénieur, InformatiqueENSEIRB-MATMECA2019Diplôme d'ingénieur, Informatique
- Semestre universitaire, Mathématiques et informatiqueUmeå Universitet2018Semestre universitaire, Mathématiques et informatique
Certifications
- Terraform AssociateHashicorp Certified2022