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Jaïme A.JA

Jaïme A.

DevOps Engineer | Infrastructure Automation

€480/day
Paris, FR
3-7 years

Average response time: 1 hour

About Jaïme

DevOps / Cloud Engineer (AWS, Kubernetes, Terraform)

With 5+ years of experience as a DevOps engineer, I help companies build scalable, reliable, and cost efficient cloud infrastructures.

I specialize in designing and automating cloud environments, setting up CI/CD pipelines, and implementing observability systems that improve both performance and operational visibility.

I have worked across media, tech, and e commerce environments, where I have:

- Migrated legacy systems to cloud native architectures
- Reduced infrastructure costs through optimization and monitoring strategies
- Improved deployment speed and reliability with robust CI/CD pipelines
- Built end to end observability stacks using Datadog, ELK, and Grafana

Core expertise:

Cloud: AWS (primary), GCP
Infrastructure as Code: Terraform, Ansible
Containers: Docker, Kubernetes
CI/CD: GitHub Actions, GitLab CI, Jenkins
Monitoring: Datadog, ELK, Grafana

I focus on delivering practical, production ready solutions that align with business needs, whether it is scaling a platform, improving reliability, or optimizing cloud costs.
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Richemont
    DevOps Engineer
    LUXURY GOODS
    October 2023 - Today (2 years and 9 months)
    Geneva, Switzerland
    - Executed importation operations to convert all resources within Datadog's software into Infrastructure as Code using Terraform, optimizing the efficiency and manageability of the system.

    - Led the migration of the Datadog Kubernetes operator to the Datadog Helm chart, enhancing consistency across all clusters managed by the company.

    - Successfully executed a proof of concept to deploy a Service Catalog, providing templated out-of-the-box services for both Datadog and PagerDuty.

    - Deployed alternative monitoring systems, including Site24x7 and ELK Cloud, to optimize costs and ensure compliance with China's data privacy regulations.

    - Partially migrated configurations to a self-hosted ELK Cloud Stack on Kubernetes, configuring Helm charts, agents, and Beats for improved observability.

    - Conducted daily operational tasks to maintain service continuity and offer support to other teams within the company.
    Datadog Kubernetes Elastic Stack (ELK) Helm Amazon Web Services
  • Datalens
    Co-Founder
    December 2022 - Today (3 years and 7 months)
    Paris, France
    Revolutionize your data exploration experience with our cutting-edge Data Discovery SaaS web application. Uncover valuable insights, streamline information management, and enhance decision-making. Our user-friendly interface, coupled with powerful functionalities, empowers you to navigate and analyze data effortlessly. Elevate your data discovery journey with our innovative and intuitive platform.
  • RTS - Radio Télévision Suisse
    DevOps Engineer
    PRESS AND MEDIA
    April 2023 - October 2023 (6 months)
    Geneva, Switzerland
    - Translated the existing AWS infrastructure into Infrastructure as Code, isolating its components into three AWS accounts (DEV, STAGE, & PROD).

    - Executed targeted optimizations to reduce costs and streamline future deployments.

    - Introduced CI/CD pipelines to enhance software delivery cycles through GitHub CI.

    - Guided the team in achieving a smooth transition to the new infrastructure and adopting best practices.

    - Developed a mirroring system leveraging AWS S3, SQS, and DynamoDB to enhance query times for the media catalog.
    Amazon Web Services Github Actions Terraform Cloud

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Education

  • Bachelor's degree,
    EPITECH - European Institute of Technology
    2020
    Bachelor's degree,
  • Animation, Interactive Technology, Video Graphics and Special Effects
    ISART DIGITAL Paris
    2016
    Animation, Interactive Technology, Video Graphics and Special Effects

Skill set

Categories