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Steve C.SC

Steve C.

🧑‍💻 Dev(Sec)Ops | Lead Dev | Terraform TS Rust

€778/day
20 projects
Bordeaux, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Steve

DevSecOps & Lead Full Stack Developer.

I will accompany you from the planning to the realization of your projects: DevSecOps Methodologies: Terraform, AWS & GCP Gitlab CI/CD, Github Actions, Circleci, Packer, Docker, Typescript, Rust, Go, C, React JS or Native, NextJS, Apollo GraphQL, Tailwind, Sass 🚀🥇⌨

Development, CI/CD, DevSecOps.
  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • Club Med
    Architect / DevSecOps
    TRAVEL AND TOURISM
    March 2023 - Today (3 years and 3 months)
    Paris, France
    Audit, planning, and migration of b2c applications from bare metal DC to AWS via Terraform.

    Migration of multi-repo TF to mono-repo (development of terragrunt type scripts).

    Assistance to web development, application, mobile, Ops, SysOps, Security teams.

    In charge of monitoring and observability: development of an AWS service discovery stack multi a-z, multi account, retrieval & stream of all event logs and metrics to ELK (Lambda, Cloudwatch, EventBridge, IAM, ELK, TypeScript, AWS Sam).

    Development of an open-source Terraform module for AWS.

    Terraform, AWS, ECS, Fargate, S3, ELB, Docker, VPC, API Gateway, IAM, LocalStack, Docker, Docker-compose, Github Actions, Circle-CI, tfsec, tflint, checkov, terraform-docs.
    Terraform AWS ELK Docker DevOps DevSecOps
  • Club Med
    Architect / Tech Lead Mobile App
    TRAVEL AND TOURISM
    May 2021 - April 2023 (1 year and 10 months)
    Paris, France
    Creation of the Mobile App team (6 devs)

    - Audit, stress tests, benchmark of legacy applications (Swift & Kotlin) and market analysis.
    - Writing and presentation of solutions for application refactoring.
    - Audit and interviews of developers from other teams to list and identify pain points, bottlenecks, or factors of loss of speed / development quality within the processes and organization of the IT ClubMed.

    - Writing coding guidelines, development of rules, eslint, typescript rules, git / husky hooks.
    - Documentation of the code philosophy in the organization (Component Driven Development, TDD, SOLID, KISS principles)

    - Setup of different environments (Production, UAT, Staging, Nightly, Integration, Development)
    - Development of CI/CD/CD (Continuous Integration, Continuous deployment And Continuous Delivery)

    - Scafold in mono-repo the application stack (App, Design System, Documentation, Eslint plugins, Apollo Server...)
    - Develop, Preview & Ship Mobile App.
    - Lead Dev team

    Stack:
    - General: Yarn v2, Expo Yarn Workspaces, Husky, Typescript, Jest, Eslint, CircleCi, Prettier.

    - App: Expo, React-Native, i18Next, MobX State Tree, Locize, Apollo Client, Date-fns, Expo EAS, Batch, Didomi, GA v4, Sentry, Custom OIDC Client, React-navigation, React testing library native / hooks, BrowserStack + Katalon (e2e tests)

    - UI: Expo, Storybook, React-native-web, Styled-components, Axe, Chromatic.io (Documentation, UI library, Visual Testings, Non visual regressions)

    - Apollo GraphQL, Redis Cluster, Rest Datasource, Dataloader, Date-fns, GraphQL-code-generator (hooks, types, operations…)

    - CI/CD: SonarQube, Docker, EAS, Circle-ci, Heroku, BrowserStack, Apium, Katalon

    Others: Git-flow with fully automated deployments on all environments from Review App to Production (Dev, Integration, Nightly, UAT, Production),
    Architecture SI Tech Lead React Native EAS CircleCI Continuous Integration Continuous Delivery Expo Continuous Deployement KISS Solidity i18n i18next locize Jest Eslint Apollo Client MobX MobX-State-Tree Date-fns Batch Didomi Google Analytics Sentry OIDC React-navigation React Testing Library / Native Testing Library / Hooks Chromatic.io Unit Tests Functional Tests Visual Testing Visual Regression Testing Apollo Apollo Server Dataloader Graphql GraphQL code-generator Sonarqube GitHub Terraform AWS AWS Fargate AWS ECR AWS Route 53 Docker docker-compose Gitflow CI/CD TDD
  • Club Med
    SRE web performances / DevSecOps
    TRAVEL AND TOURISM
    October 2020 - May 2021 (8 months)
    Paris, France
    “Web Perf” Team.

    - Audit worldwide web performances services.
    - Write a roadmap for SRE, DevOps, Website Lead Devs for ensuring performances and reliability with Incremental Site Generation (SSG) and SWR.
    - Add monitoring services and Reliability dashboard.
    - Refactor Docker images and optimize process runners with pm2 (Front, GraphQL, MediaServer (DAM), CDN configurations and CD) for Scale.
    - Refactor build process with webpack and the whole website deployment orchestration.
    - Automate WebPageTest reporting.
    - Implement Calibre(App) tool and add e2e scenarii for probes.
    - Write some required tasks for dev teams. Assist and train developers.
    - Refactor and optimize parts of website to improve web core vitals
    - Rework whole images usages in website, refactor some components due to SSR bottlenecks.
    - Drop IE11 support and migrate / upgrade some website libraries (NextJS, Sharp…)
    - Refactor Akamai configuration
    - Expose wepack’s NextJS chunks into AWS S3 CDN.
    Site Reliability Engineering SRE Web Performance Docker CircleCI Google cloud AWS Nginx Nginx PageSpeed Akamai Webpack WebPageTest CalibreApp Next.js React.js Node.js Kibana

Reviews

5.0

Out of 9 ratings

SamiS

Sami

Trott

Reviewed on 10/19/2020

2nd mission with Steve, always top-notch. Looking forward to the 3rd mission!
SamiS

Sami

Trott

Reviewed on 10/13/2020

Great mission with Steve. Responsive and pedagogical, he quickly understood the project stakes and transmitted maximum skills to the tech team. I recommend!

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Education

  • Deep Learning Certifications
    Stanford University
    2018
    Deep Learning Specialization • Professeur : Andrew Ng (VP & Directeur scientifique de Baidu ; Co-Fondateur de Coursera ; Professeur, Professeur agrégé et Directeur du département Deep Learning à l'Université de Stanford ; Fondateur et ancien dirigeant de Google Brain). • Chef Assistant Professeur : Kian Katanforoosh (Membre et Professeur assistant à l'Université de Stanford). • Professeur Assistant : Younes Bensouda Mourri (Université de Stanford). 1 : Neural Networks and Deep Learning 2 : Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 3 : Structuring Machine Learning Projects
  • Study of Digital Technology Architect
    42
    2013

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