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Salah MayoufSM

Salah Mayouf

Tech Lead · Cloud & Microservices Architect · AI

€600/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Salah

Tech Lead Cloud & AI Engineer
Java · Go · Kubernetes · Terraform · LangChain
10+ years of experience on critical programs in banking, media, and urban mobility.
My areas of expertise:
• Cloud & DevOps — Kubernetes, OpenShift, Terraform, ArgoCD, GitLab CI, IBM Cloud, AWS
• Backend & Microservices — Java 21, Spring Boot, Go, Python, Kafka, event-driven architectures
• AI & LLM Engineering — LangChain, LangGraph, RAG, LLM fine-tuning, Airflow
• Observability & Security — OpenTelemetry, Grafana, Prometheus, ELK, DevSecOps
• Tech Leadership — architecture, code reviews, mentoring, technical choices
  • English

    Fluent

  • French

    Native or bilingual

Can work on-site
Paris (up to 50km), Lille (up to 10km)

Experience

  • BNP-Paribas
    Cloud / DevOps Engineer & AI Tech Lead
    BANKING AND INSURANCE
    May 2024 - Today (2 years and 3 months)
    Montreuil, France
    ▸ Development of custom Terraform providers in Go to automate identity and access governance — significant reduction in infrastructure provisioning times.
    ▸ Design and deployment of AI pipelines (LangChain/LangGraph, RAG, LLM fine-tuning) on OpenShift for internal business use cases — notable improvement in processing times compared to manual processes.
    ▸ Migration and modernization of Java Spring Boot microservices to OpenShift/Kubernetes with continuous deployment via ArgoCD — zero downtime transition, significantly improved release cadence.
    ▸ Integration of OpenTelemetry (OTLP/HTTP) on Go and Java services for distributed observability — substantial reduction in MTTR thanks to end-to-end traceability.
    ▸ Remediation of critical vulnerabilities (SQL injections, high CVSS score) on Java Spring Boot microservices — emergency deployment in compliance with DORA security requirements.
    ▸ Architecture and operation of Kubernetes clusters on IBM Cloud — optimization of resource utilization and guarantee of high availability for production services.
    ▸ Orchestration of data flows via Airflow DAGs (Python) in a Kafka/IBM Cloud context — automation of critical processes and reduction of operational errors.
    GO Java Terraform AI Agent Cloud Architect
  • M6 Publicité
    Lead Tech & Java / Angular Architect
    PRESS AND MEDIA
    May 2021 - May 2025 (4 years)
    Neuilly-sur-Seine, France
    Technical leadership of a development team: architecture, code reviews, mentoring — skill enhancement and significant reduction in bug backlog.
    ▸ Complete migration of the technical stack (numerous applications): JDK 11 → 17, Spring Boot 2.6, Nexus 3 / Jenkins / GitLab — zero regression thanks to an incremental migration strategy.
    ▸ Implementation of automated tests (Fitnesse, Cypress) — significant increase in code coverage and notable reduction in production regressions.
    ▸ Correction of critical security vulnerabilities (Tomcat, Spring Framework, Log4j CVEs) with zero-downtime deployment — no security incidents reported during the period.
    ▸ Grafana/InfluxDB/Micrometer monitoring on all services: real-time dashboards enabling much faster incident detection and resolution.
    ▸ Architectural POCs: evaluation and integration of ElasticSearch — very significant improvement in search latency.
    Java 17 Spring Boot 2 Angular 12 AWS Elasticsearch
  • JCDecaux
    Java / Angular Development Engineer — Experienced
    ENTERTAINMENT AND LEISURE
    January 2019 - April 2021 (2 years and 3 months)
    78370 Plaisir, France
    - Participation in the migration of the Java 11 and Spring Boot 2 technical stack
    - Design and development of microservices for the management of free-floating bike applications
    - Development of web applications with Angular 8
    - Performance optimization by implementing caches (2nd level Hibernate with Ehcache, Etags, and client-side cache)
    - Participation in technical workshops and estimation of User Stories and Technical Stories
    - Ensuring code quality through the implementation of automated tests and code analysis tools
    - Development of a Micrometer module and creation of graphs for monitoring microservice performance with Grafana and InfluxDb
    - Implementation of State Machine design patterns for process management
    - Implementation of search engines like ElasticSearch
    - Correction of bugs and anomalies in back-end and front-end applications
    - Delivery and deployment with Jenkins and production monitoring
    - Updating Maven Archetypes for the creation of new microservices
    Java 11 CI/CD Grafana Elasticsearch Angular 9

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Education

  • Image Processing
    Institut Galilée - Université Paris 13
    2017
  • Computer Security and Networks
    Université Abderrahmane Mira
    2015

Skill set

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