Available for opportunities

JulienLe Ber

Cloud / Infrastructure Engineer

Infrastructure-focused engineer with experience in cloud automation, Kubernetes systems, and production infrastructure across on-prem and cloud environments.

Select Artwork
Pearl Earring
Scroll to explore
0
Certifications
0+
Achievements
0
Technologies
0
Cloud Platforms

Experience

Cloud Architect (GCP)

Current
AccentureParis, France
SEP 2025PRESENT
  • Joining Accenture's Google Business Group as Cloud Architect

    GCPCloud Architecture
  • Start date deferred due to international research exchange in China

Cloud Engineer

CarrefourParis, France
SEP 2024SEP 2025
  • Designed and implemented CloudIA, an AI assistant trained on Carrefour's cloud architecture standards, handling 1,000+ technical queries per month with a 70% satisfaction rate

    AICloud ArchitecturePython
  • Automated OpenVPN certificate renewal and deployment using Jenkins and Ansible across on-prem and cloud (Azure/GCP) environments

    JenkinsAnsibleAzureGCPOpenVPN
  • Served as the central cloud point of contact, handling 30+ internal infrastructure requests per month

    Cloud InfrastructureCommunication
  • Built a Python-based tool to monitor HAProxy to Envoy migrations, defining a key internal KPI and improving process efficiency by 20%

    PythonHAProxyEnvoyMonitoring

Certifications

CKA

In Progress

Kubernetes Certified Administrator

CNCF

AZ-305

Azure Solutions Architect Expert

Microsoft2025

AZ-104

Azure Administrator Associate

Microsoft2025

AWS SAA

AWS Solutions Architect Associate

AWS2024

Research

GPU-Aware Autoscaling for Hybrid AI Pipelines on Kubernetes

Wuhan University of TechnologyChina
SEP 2025JAN 2026

Research exchange focused on optimizing Kubernetes autoscaling for AI workloads

  • Implemented a GPU-aware Kubernetes autoscaler in Go (KEDA External Scaler) for AI inference workloads
  • Combined GPU metrics and Kafka lag signals for hybrid autoscaling
  • Benchmarked hybrid (CPU + GPU) autoscaling strategies, demonstrating improved latency and resource utilization

Skills & Technologies

Languages
GoPythonBashTypeScript
DevOps
KubernetesDockerTerraformAnsibleJenkinsHelmKEDACI/CD
Cloud
GCPAWSAzure
Monitoring
PrometheusGrafanaKafka
Fundamentals
LinuxNetworkingDistributed SystemsLoad Balancing

Data Structures & Algorithms

LeetCode Performance

173Solved
Global RankingTop 4.9%
Total Submissions913
Active Days113

Activity Graph

Less
More
Array48

Hash Map / Set

DP32

Dynamic Programming

Tree28

Tree Traversal (BFS/DFS)

Array24

Two Pointers

Search18

Binary Search

Array18

Sliding Window

Graph14

Graph Search (Dijkstra/Union Find)

Design15

Stack & Queue

Search12

Backtracking

Design10

Heap / Priority Queue

Tree6

Tries

Array8

Bit Manipulation

Projects

GPU-Aware KEDA Scaler

Custom Kubernetes autoscaler in Go combining GPU metrics and Kafka lag signals for AI inference workloads

GoKubernetesKEDAKafka+1

Education

Efrei Paris Panthéon Assas

Master's Degree in Cloud and Cybersecurity

Paris, France20212026

International Section