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Exemple de missions de Cao Truong,
Expert Blue Prism habitant les Yvelines (78)

  • Cloud Cyber Security & DevSecOps Leader – full time

    ENGIE GEMS
    Jan 2024 - aujourd'hui

    § Wrote security rules, security policy.
    § Defined security process (RACI) and security KPI.
    § Defined security sheet for cloud resources.
    § Developed and provided DevSecOps toolkit and services based on security policy and tools such as
    Prisma Cloud and ETF4Security.
    § Conducted demos to present the DevSecOps toolkit and services to various delivery teams within GEMS.
    § Supported various delivery teams in onboarding the DevSecOps toolkit into the CI/CD pipelines (Azure
    DevOps, GitHub) and remediating identified security issues.

  • Co-founder and technical director

    DeepK2
    Jan 2023 - aujourd'hui

    § Designed and implemented AWS landing zone.
    § Studied, designed, and automated an AI and ML solution in AWS (SageMaker, Textract, Lambda). This
    solution classifies documents into different categories and extracts their metadata into a database for later
    control.
    § Studied, designed, and automated the deployment of the AI user interface in AWS.

  • Cloud, DevSecOps, GitOps Architect & Technical Leader - full time

    Amadeus
    Jan 2023 - Jan 2024

    § Audited and consolidated the current high-level design (HLD) and low-level design (LLD) of Cytric Travel's
    on-premise infrastructure. The goal is to assess and identify the initial components to be migrated to Azure
    Cloud and OpenShift hosted in Azure.
    § Audited, redesigned, and automated the deployment of Cytric's test environment into the cloud Azure and
    OpenShift.

    § Employed a GitOps and DevSecOps approach with tools such as ArgoCD, GitHub, Helm, Terragrunt, Terraform, Packer, Ansible, and JFrog Artifactory
  • VMWare, Cloud & DevSecOps Architect, Technical Leader – full time

    Thales Global Services
    Jan 2022 - Jan 2023

    & DevSecOps Architect, Technical Leader – full time
    § Designed and developed the Factory Deployment Automation (FDA) product.
    § Conducted demos to present the product to various internal audiences within the group.
    § Contributed to the creation of the Infrastructure Solution Design (ISD) for different Factories.
    § A factory is an engineering workbench delivered as a service. For example, a DevOps factory includes all
    tools for DevOps such as GitLab, Jira, WIKI, SonarQube, JFrog, etc.
    § The FDA product provides:
    1. Guidelines for packaging a factory based on best practices using Terraform and Ansible for IaaS,
    and Helm for KaaS.
    2. Hosting specifications for public clouds (Azure, AWS) and private clouds (vRA 8 and Tanzu).
    3. GitLab CI libraries to fully automate the deployment of a factory (infrastructure, middleware, and
    applications) into various public and private clouds, and manage the factory's lifecycle (upgrade,
    rollback, and post-deployment testing).

  • AWS & DevSecOps Expert/Architect - part time

    CANON
    Jan 2022 - aujourd'hui

    Duties:
    § Provided advice, expertise, and solutions on Network, Security, AWS, and DevSecOps for various
    projects.
    § Implemented a DevOps platform, including GitLab Server, GitLab Runners, and SonarQube.
    § Established a Git strategy using Gitflow and trunk-based development.
    § Set up CI/CD pipelines via GitLab to automate the deployment and testing of Java applications.
    § Designed the Hub & Spoke architecture in AWS.
    § Contributed to the design of various applications on AWS.
    Projects:
    § NEO:
    Study, design, develop, and deploy an event-driven solution in AWS to transmit data from the
    LOREAL platform to the ThereFore solution.

    Technologies: Kafka, SQS, SES, SNS, Lambda Function, Secrets Manager, EventBridge, CloudWatch, DynamoDB, Python, etc. o The solution is deployed automatically with IaC (CloudFormation and AWS SAM) via GitLab CI.
  • AWS & DevOps Expert – part time

    Essilor International
    Jan 2022 - Jan 2022

    § Conducted analysis, audit, PoC, and migration of a large Team Foundation Server 2019 collection hosted
    in AWS to Azure DevOps.
    § The collection included approximately thirty projects with multiple pipelines, releases, repositories, and
    artifacts.
    § Refactored and evolved pipelines and releases post-migration.

  • Cloud Project Manager / Cloud (Azure, AWS) & DevOps Expert – full time

    ENGIE IT
    2017 - 2022

    Duties
    § Audit applications hosted on-premise and define an action plan to manage the deprecation of their
    infrastructure (Windows Server 2008, 2010, expensive licenses for Redhat Server, Oracle and
    WebLogic,…), either by retaining them on-premise or migrating them to Azure Cloud.
    § Implemented security governance in Azure.
    § Responded to customer needs regarding web development and cloud hosting.
    § Wrote business proposals.
    § Conducted analysis, design, costing, implementation, administration, and maintenance of infrastructure
    and middleware in the cloud.
    § Implemented CI/CD pipelines using Jenkins, Azure DevOps, and GitLab.
    § Reviewed, defined, and applied best practices regarding security and FinOps.
    Validated and adjusted web application designs to comply with security policies.
    § Conducted source code audits of web applications before approving deployment.
    § Managed projects using Scrum, Agile, and DevOps methodologies.
    § Led and managed teams
    Projects
    § Migrated the Foundation App to Azure Kubernetes Services (AKS): a multi-tier web application for
    Storengy to manage and monitor gas contracts and gas technical distribution sites.
    - Audited the current IaaS and PaaS infrastructure.
    - Wrote commercial proposals.
    - Analyzed, redesigned, and migrated existing applications to AKS.
    - Implemented CI/CD pipelines using GitLab.
    - Updated the infrastructure solution design.
    § Shiny Proxy: Hosted the Shiny Proxy landing page and Shiny Apps R on Azure Kubernetes Service
    (AKS). The Shiny app landing page serves as the end-user web interface, allowing Shiny App R to perform
    calculations and report on ENGIE GREEN’s wind turbine data.
    - Analyzed and designed the solution.
    - Validated infrastructure solution privacy.
    - Wrote the infrastructure solution design.
    - Deployed the infrastructure using Terraform.
    § GitLab Migration:
    - Migrated GitLab from Azure to AWS using Infrastructure as Code with Terraform and Ansible.
    § ********: A two-tier web application (JBoss, Apache, Oracle server) to manage Eleng's and its subsidiary
    Fosmax-LNG contracts.
    - Audited the current on-premises infrastructure.
    - Wrote the commercial proposal.
    - Analyzed, redesigned, and migrated the on-premises application to Azure.
    - Migrated the Oracle server to an Azure PostgreSQL database.
    - Implemented various pipelines in Azure DevOps for infrastructure construction, middleware
    installation, configuration, and application deployment.
    § BTM: A two-tier web application (WebLogic, Apache, Oracle server) to manage ELENGY LNG terminals.
    - Audited the current on-premises infrastructure.
    - Wrote the commercial proposal.
    - Analyzed, redesigned, and migrated the on-premises application to Azure cloud.
    - Implemented various pipelines in Azure DevOps for infrastructure construction, middleware
    installation, configuration, and application deployment.
    § Feeder Market: A multi-tier web and calculation microservice application in Azure cloud.
    - Conducted an infrastructure security audit.
    - Applied security best practices, including Azure foundation, Azure application gateway (WAF),
    private endpoint, and firewall.
    - Automated the deployment of the solution using Terraform and Azure DevOps.
    - Defined and executed DRP tests in different regions (West Europe and North Europe).
    § Performe 2.0: A three-tier web application (web, API, and database) to record and process data from
    ENGIE group power plants, used for reporting by BI systems in SAP.
    - Wrote the commercial proposal.
    - Analyzed, designed, and participated in the implementation of a full PaaS solution in Azure cloud.
    § Learn Heat: A PHP and Python web application for the calculation and simulation of ENGIE Solutions
    data.
    - Wrote the commercial proposal.
    - Analyzed, designed, and migrated the application from AWS to Azure cloud.
    § AMPERE: An ASP.NET web application with SSRS for managing ENGIE GREEN projects.
    - Wrote the commercial proposal.
    Analyzed, designed, and migrated the application from the public network zone to the private
    network zone in Azure cloud.
    - Wrote technical documentation and ISP/ISD.
    § CARL: An ENGIE GREEN web/mobile platform dedicated to the operation and maintenance of wind and
    solar power plants.
    - Wrote the commercial proposal.
    - Analyzed, designed, and migrated the platform to Azure cloud.
    - Wrote ISP/ISD and technical documentation.
    - Trained the RUN team.
    § Foundation: A platform for centralization, optimization, and supervision of data from all of Storengy's other
    systems (management of alerts, failures, appointments, flows, and excess capacity).
    - Wrote the commercial proposal.
    - Analyzed, designed, and migrated the platform to HA hosting in Azure cloud.
    - Wrote ISP/ISD.
    - Implemented CI/CD pipelines and opened network flows.
    - Trained Cloud & DevOps engineers for RUN activities.
    § ********: A web application to manage the links between Elengy's LNG terminals and contracts.
    - Wrote the commercial proposal.
    - Analyzed, designed, and implemented the application in HA hosting in Azure cloud.
    - Participated in writing ISP/ISD.
    - Defined the DRP plan.
    - Automated infrastructure with Terraform.
    - Installed and configured middleware.
    - Implemented the CI/CD chain in Azure DevOps for continuous deployment.
    - Wrote technical documentation and opened network connectivity flows.
    - Train...

  • aujourd'hui

    DJIN:
    o Design and deploy an AI and event-driven solution in AWS to receive various types of documents
    via an SFTP solution, then classify and extract data from the documents for later analysis.

    Technologies: SFTP, EC2, Lambda Function, SQS, Secrets Manager, EventBridge, S3, SageMaker, Textract, DynamoDB, Python, Java, etc.
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