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Tarik AbbasTA

Tarik Abbas

DevOps & Cloud Engineer AWS - AI Specialist

€750/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Tarik

DevOps Engineer with over 10 years of experience, specializing in Infrastructure as Code (Terraform, Ansible), containerization (ECS, Kubernetes), and CI/CD (GitLab CI, Jenkins) on AWS. Accustomed to large enterprise environments, high traffic, and large-scale operations: multi-account AWS Landing Zone design, microservices migrations, and support for large development teams. Pioneer in AI-driven automation (AWS Bedrock, CrewAI, MCP servers) to industrialize delivery and reduce time-to-production. Cross-functional expertise covering SecOps, observability, and FinOps.
  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • ENGIE
    DevOps Expert
    September 2021 - Today (4 years and 10 months)
    Context: Digital Squad responsible for B2C digital components of the Public and Regulated Tariff Divisions: engie.fr, gaz-tarif-reglemente.engie.fr, happe.engie.fr, high-traffic portals, over 1,000 Spring Boot, Node.js, and Python microservices on ECS, spread across about twenty AWS accounts. DevOps support for 500 developers.
    Key missions:
    Automation & AI: Design of AI agents with AWS Bedrock, CrewAI, and MCP servers to automate end-to-end microservice creation. Development of Python Lambdas for recurring operational tasks.
    Infrastructure & Cloud: Contribution to setting up an AWS Landing Zone with about twenty accounts. Migration and creation of infrastructures for over 1,000 microservices using Terraform and Ansible, without service interruption.
    CI/CD: Docker containerization, application integration on ECS, creation and maintenance of Jenkins and GitLab CI pipelines. Industrialization of deployments and support for application teams.
    SecOps: Deployment of Prisma Cloud on EC2, integration of Prisma and Veracode into CI pipelines, patching factory, reduction of CVEs on Docker images, support for teams in vulnerability remediation, centralization of certificates via S3 and Secrets Manager.
    Observability: Migration from Filebeat/Logstash to ECS OpenTelemetry and FluentD sidecars, sending logs to Splunk, migration from Kibana/Elasticsearch to Splunk, and from Grafana dashboards to SignalFx.
    FinOps: Migration from EC2/RDS to Graviton, monitoring database engines to avoid extended support, tag strategy, and detection of untagged or unused resources via Cloud Custodian.
    Environment: Linux, AWS, ECS, Terraform, Ansible, Jenkins, GitLab CI, SonarQube, Nexus, Maven, Node.js, Java, Spring Boot, Python, Grafana, SignalFx, Splunk, OpenTelemetry, FluentD, Prisma Cloud, Veracode, Cloud Custodian, Graviton, AWS Bedrock, CrewAI, MCP.
    Amazon Web Services Terraform Ansible Bedrock MCP
  • BOUYGUES TELECOM
    DevOps / Cloud Engineer
    February 2021 - August 2021 (6 months)
    Context: Cloud expertise hub, project for integrating HashiCorp Vault for centralized and secure secret management.
    Problem: Lack of a centralized solution for secret management, exposing the platform to security risks.
    Solution: Study of technical constraints and definition of the target architecture, deployment of HashiCorp Vault in high availability on AWS, implementation of the CI/CD chain (GitLab CI), automated construction and deployment of AMIs with Ansible, creation of dashboards and alerting (Grafana, StatsD), and optimization of Linux servers.
    Result: Centralized, secure, and highly available secret management, with enhanced operational monitoring of the platform.
    Technical Environment: Linux, AWS, Terraform, HashiCorp Vault, StatsD, Grafana, Filebeat, Elasticsearch, GitLab CI/CD, Ansible
  • GEKKO (part of Accenture)
    DevOps Engineer
    October 2019 - May 2020 (7 months)
    Context: Consulting and integration company specializing in Cloud and DevOps – multi-client interventions.
    Problem: Automate infrastructure deployment and accelerate provisioning for various client contexts (AWS, OpenStack).
    Solution: API containerization and deployment on Kubernetes with Helm, Infrastructure as Code with Terraform (AWS and OpenStack providers), deployment of EKS and RKE (Rancher) clusters via Jenkins, implementation of Prometheus and Grafana, continuous deployment with Ansible, AWS account administration (IAM, VPC, subnets, Security Groups), deployment of AWS Config via CloudFormation, and SSL/TLS certificate management.
    Result: Development of a self-service API for on-demand database creation on Kubernetes (Python, Flask, JavaScript) reducing provisioning times, and improvement of platform compliance and observability.
    Technical Environment: Linux, AWS, Kubernetes, Helm, Docker, Apache2, Ansible, Jenkins, Terraform, Python, Flask, PostgreSQL, MySQL

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Education

  • AWS Certified Solutions Architect – Associate
    2021
    AWS Certified Solutions Architect – Associate
  • – Certified Kubernetes Application Developer
    CKAD
    2020
    – Certified Kubernetes Application Developer

Certifications

Categories