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Abel Armel A.AA

Abel Armel A.

DevSecOps Engineer

€400/day
Bourg-la-Reine, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Abel Armel

Freelance DevSecOps Engineer, I support companies in automating and securing their cloud deployments through robust CI/CD pipelines, compliant with industry best practices.

I specialize in integrating security tools (SAST, DAST, SCA) within DevOps chains (GitHub Actions, Jenkins, Azure DevOps), managing secure infrastructures on AWS (Terraform, IAM, GuardDuty, Security Hub), as well as secure container orchestration (Docker, Kubernetes).

I design and deliver secure-by-design, production-ready, turnkey solutions, with a particular focus on compliance, scalability, and automation.
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Swahili

    Native or bilingual

Can work on-site
Bourg-la-Reine (up to 30km)

Experience

  • Hab Data
    DevSecOps Engineer
    September 2024 - April 2025 (7 months)
    Implementation of secure CI/CD pipelines with GitHub Actions and integration of SAST, DAST, and SCA tools (SonarQube, Trivy, OWASP tools).
    Deployment of a secure cloud infrastructure on AWS via Terraform (IAM, S3, EC2, GuardDuty, Security Hub).
    Securing Docker containers and Kubernetes orchestrations (RBAC, Network Policies, vulnerability scans).
    Implementation of Shift Left Security and Security by Design principles to ensure deployment compliant with DevSecOps standards.
    Automation of system configuration with Ansible.

    Technologies used: GitHub Actions, Docker, Kubernetes, Terraform, AWS, SonarQube, Trivy, Ansible
    Result: End-to-end secure CI/CD chain, compliant with security best practices (OWASP, CIS Benchmarks)
  • Targech
    ML Engineer
    February 2024 - August 2024 (6 months)
    Development of an intelligent recruitment platform using advanced AI models
    Design and implementation of matching algorithms between candidates and job offers
    Analysis and processing of massive data to optimize the performance of predictive models
    Close collaboration with the Data team during daily meetings
    Technologies used: Python, ML/DL, NLP, Data Processing, AI Models
    Result: 30% improvement in relevant matching rate and 40% reduction in candidate selection time
    Python (Programming Language) ML Deep Learning NLP Data processing

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Education

  • Expert in Network Systems Architecture and Information Security
    École Supérieure des Génies Informatiques (ESGI)
    2024
  • Project Manager in Artificial Intelligence and Big Data Management
    IA School
    2023
    Formation en Intelligence Artificielle et Big Data Management

Skill set (30)

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