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Soufiane BenzaouiaSB

Soufiane Benzaouia

Senior Cloud Architect | DevOps & SRE | AI & Data

€800/day
2 projects
Paris, FR
8-15 years
Generative AI
Cloud Architect
Cloud DevOps
Amazon Web Services (AWS)
AI Agent

Average response time: 1 hour

Freelancer profile translated to English.
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About Soufiane

Cloud Architectfor over11 years,passionate about technology, automation, and agile methodologies. I work on various topics: cloud architecture design, DevOps industrialization, platform security, and implementing AI use cases(GenAI/LLM).I have developed solutions in Python, Java, and TypeScript, and deployed scalable platforms on AWS/Azure/GCP using IaC and SRE best practices.

I can assist you with:

*Cloud Architecture & Landing Zone: AWS/Azure/GCP, networks (VPC/VNet), IAM, multi-account, security, governance, tagging

*DevOps / Platform Engineering: CI/CD (GitLab CI, Jenkins), Docker, Kubernetes (EKS/AKS/GKE), GitOps (ArgoCD), pipelines

*Infrastructure as Code: Terraform, Ansible, Helm, automation, templates, modules, standards

*Cloud Security :IAM, secrets, encryption, policies, least privilege, audits, compliance, threat modeling

*Observability / SRE: monitoring, logs, traces, alerting (ELK, Prometheus, Grafana), SLI/SLO, runbooks

*Modernization & Migration: replatform/refactor, containerization, microservices, serverless, performance optimization

*FinOps: cost optimization, right-sizing, budgets, reporting, chargeback/tagging

*AI / GenAI (LLM): RAG architecture, vector databases, embeddings, ingestion, evaluation, lightweight MLOps, API deployment (OpenAI/Azure OpenAI/AWS Bedrock)

*Training on the architect profession:Relational Databases, NoSQL, Distributed Databases, Batch, Streaming...

*Best practices for development:Clean code, Testing, SOLID, Python, Java, Scala, TypeScript

*Integration of large data volumes: Spark, Mapreduce, Hadoop, Glue, Redshift, Pandas

*Storage of NOSQL, Relational, and cache data: Hdfs, Cassandra, Hive, Parquet, S3, RDS, Mysql, MongoDB, Neo4J, Redis
Banking and Financial Services
Education Companies
Electrical industry
IoT (Internet of Things)
Digital and IT Services

  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km)

Experience

  • Crédit Agricole
    Major Bank — Cloud & AI Architect (GenAI/LLM)
    BANKING AND INSURANCE
    January 2024 - Today (2 years and 5 months)
    Paris, France

    Context

    Assisted a major player in the banking sector to frame and accelerate the adoption of LLMs / GenAI within a critical information system, with strict security, confidentiality, compliance, and stability constraints. The goal: to prevent the proliferation of isolated initiatives and create a common framework enabling business and IT teams to deploy use cases rapidly, without compromising banking requirements.

    Objectives

    Create an enterprise framework to standardize LLM integration into the IS.
    Implement governance (risk/compliance/IT) and security safeguards.
    Facilitate the implementation of use cases through shared components (access, logs, costs, architecture patterns).
    Structure a pilot trajectory → industrialization while controlling costs, risks, and compliance.

    Achievements

    1) Design of an Enterprise LLM Framework
    Definition of a target architecture "Enterprise LLM Platform": integration patterns, standards, reusable components.
    Implementation of a component catalog: IS connectors, API exposure, contextualization mechanisms, deployment templates.
    Definition of guidelines: when to use LLMs vs alternatives, criticality levels, quality requirements, acceptance criteria.

    2) Governance & Safeguards (Banking Compliance)
    Definition of controls: data classification, retention policy, auditability, traceability, access management (IAM), encryption.
    Formalization of GenAI risks: confidentiality, data leakage, prompt injection, vendor lock-in, model stability.

    3) Pragmatic and Controlled Experimentation Strategy
    Use of a group cloud foundation (e.g., AWS) for priority use cases, with a secure testing environment.
    Generative AI artificial intelligence Cloud Architect AI Agent Cloud Engineer
  • Crédit Agricole
    Combining Innovation and Compliance for Controlled Cloud Adoption
    BANKING AND INSURANCE
    January 2023 - January 2026 (3 years and 1 month)
    Paris, France

    Context

    Assisted a major banking player in defining and implementing a hybrid cloud adoption strategy (On-Prem / SaaS / Public Cloud), within a framework of strong security, risk, compliance, and regulatory constraints (sensitive data, reputation, industry requirements).

    Objectives

    Define a "Best Fit" hosting strategy (On-Prem vs SaaS vs Public Cloud).
    Implement FinOps governance to control costs from the design phase.
    Secure cloud environments through Landing Zones, access controls, encryption, monitoring, and reversibility.

    Achievements

    "Best Fit" Hybrid Cloud Strategy: segmentation of the IS and data according to criticality (sovereignty, reputation, risk), definition of hosting patterns (On-Prem / SaaS / opportunistic use of Public Cloud).
    Framing & Alignment: leveraging a cloud demonstrator, alignment with group strategy, consolidation of recommendations adapted to the context, integration of internal architecture reference framework.
    FinOps Governance: implementation of a "FinOps sieve" to evaluate use cases (TCO/ROI), continuous cost monitoring and supervision, decommissioning procedures for On-Prem post-migration.
    Cloud Security & Compliance: systematic use of Landing Zones, implementation of IAM controls, data encryption, monitoring of Cloud ↔ On-Prem flows, reversibility requirements and fallback plans for critical services.
    Skill Development: supporting internal teams on Cloud / DevOps / SRE / FinOps practices and hosting arbitration.

    Results

    Reduced Time-to-Market: accelerated experiments and deployments, increased agility for IT/business teams.
    Enhanced Security: secure cloud foundations (Landing Zones, IAM, encryption, monitoring), improved IS resilience.
    Team Autonomy: progressive skill development (Cloud, FinOps, DevOps/SRE) and enhanced arbitration capabilities.
    Cloud DevOps Business Strategy Amazon Web Services (AWS) Cloud Architect IS Architecture
  • BPCE
    DevOps Coach
    BANKING AND INSURANCE
    January 2023 - Today (3 years and 5 months)
    Charenton-le-Pont, France
    As a DevOps Coach, I was responsible for helping development and IT operations teams improve their efficiency and collaboration by adopting DevOps practices.

    My role was to provide them with comprehensive support in implementing continuous integration and continuous deployment practices, as well as improving code quality and optimizing their development and delivery processes.
    Coaching DevOps Kubernetes Software Craftsmanship
Check out Soufiane's experience

Reviews

5.0

Out of 2 ratings

G

Grégoire

Quantmetry

Reviewed on 1/19/2022

I had the chance to collaborate with Soufiane. With extensive experience in cloud infrastructure projects within large organizations, Soufiane can structure a project and brings his leadership on development, IaC, architecture, and Scrum framework issues. Passionate, Soufiane is one of the cornerstones of the team and contributes both to the group's technical excellence and to the warm atmosphere within the team.
G

Grégoire

Quantmetry

Reviewed on 5/27/2021

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Education

  • TELECOM NETWORKS ENGINEER
    ENSEEIHT
    2014

Certifications

Skill set

Elasticsearch
Cloud Engineer
Spark
Hadoop
Java
Ansible
Terraform
Docker
Cloud
Fullstack
noSQL
Big Data
Software Craftsmanship
Agile Methodology
Linux
monitoring
SQL
API
Distributed Architecture
Data Analysis
Kubernetes
Coaching
MLOps
Time Series
Gitlab CI/CD
S3
AWS Glue
bash
Microservices
Neo4j
CEP
Data Engineer
Python
DevOps
Software Architecture
Microservices Architecture
DevSecOps
IT Architecture
IT Strategy
artificial intelligence
Architecture

Categories