CV/Mission ALB freelance

Aperçu des missions d'Adil,
freelance ALB résidant dans les Alpes-Maritimes (06)

• DevOps Engineer Senior

  VITOL Biot
  Jan 2023 - aujourd'hui

  Deployment from scratch of the solution Open E-Mobility Charging Station Management solutions created earlier with my
  friends developed in NodeJS :
  ● Implementation of a Microservices Architecture for the E-Mobility Solution application ( Before Monolithe ) :
  ⠀⠀⠀ → Create Dockerfile to containerize the Microservices to deploy on Kubernetes
  ● Complete automation of infrastructure and application deployment :
  ⠀⠀⠀ → Code/Develop Terraform Infrastructure as code ( IaC ) with Terragrunt to automate deployment infrastructure in HA
  and applications with providers hashicorps AWS / Modules
  ● Implement Operator Kubernetes in Ansible to have a better resilience
  ● 50% Reduction in application deployment Time using Helm Charts :
  ⠀⠀⠀ → Create and Code the Helm Chart to deploy app in HA on Kubernetes
  ● Improved code quality with the integration of quality tests and static code analysis in the CI/CD Pipeline:
  ⠀⠀⠀ → Put in place pipeline CI/CD with Argo Workflow & ArgoCD & Github Action
  ⠀⠀⠀ → Create yaml template for the build and the test of new features in Argo Workflow
  ⠀⠀⠀ → Create application file for ArgoCD to synchronize the deployment on the clusters
  ⠀⠀⠀ → Github Action to test the quality of the " code static code analysis " and Integration test
  ● Switch from ECR to Github Registry to centralize in github
  ● Proactive application performance monitoring using Prometheus and Grafana
  ⠀⠀⠀ → Deployment of Prometheus & Grafana,
  ⠀⠀⠀ → Create Dashboard and code queries for Metrics
  ● Optimizing resources and improving application Scalability by using Auto Scaling with HPA / Optimization code for web
  socket / Replicas / put algorithm on load balancer
  ● Work closely with development teams to solve performance and scalability problems :
  ⠀⠀⠀ → CDN Cloud Front / Global Accelerator / Simulator to simulate + 10 000 charging station / ALB or NLB (depends ip
  static or not, etc...) for each services / K6 to simule in each region the performance and retrieve all metrics in grafana
  ⠀⠀⠀ → Setup a Profiler for nodejs " Clinic JS " to optimize the code to have a better performance, Optimize the size of
  Docker image
  ● Implemented a Resilience Architecture to have a good SLA
  ● Implementing a data backup and recovery strategy with AWS S3
  ⠀⠀⠀ → Automated backup and restore of application data
  ⠀⠀⠀ → Snapshot / PVC & PV MongoDB in HA
  ● Reduce infrastructure costs by 30% by optimizing resource utilization in Kubernetes
  ⠀⠀⠀ → Finops with spot and optimization cost with manages service of AWS (switch from tools consume a lot resource to
  manages services)
  ● Secure the solution
  ⠀⠀⠀ → Attack DDOS with annotation ingress (rps) and manage services AWS
  ⠀⠀⠀ → Secret with Gihtub secret / Sops and Sealed Secrets
  ⠀⠀⠀ → Optimize the Security of docker image to deploy on kubernetes with more security (No Root, Distroless)

• DevOps Engineer Senior

  SAP Mougins, France
  Jan 2022 - Jan 2023

  I'm proud to have contributed to the creation of Open E-Mobility Open Source Charging station management solutions
  Deployment from scratch Supervison Platform E-Mobility Solution developed in NodeJS so :
  ● Successfully migrate the applications from ECS Fargate to Kubernetes EKS, resulting in improved scalability and
  performance
  ● Reduced the size of Docker images by 30% and implemented security measures such as running containers as non-root
  users and using distroless images, enhancing the overall security of the deployment
  ● Implemented Infrastructure as Code (IaC) using Terraform and Terragrunt, automating the deployment of infrastructure and
  applications in a highly available environment
  ⠀⠀⠀ → Code/Develop Terraform for Infrastructure as code ( IaC ) with Terragrunt with Providers Hashicorps AWS / Modules
  ● Developed Helm Charts to deploy Microservices in a highly available configuration on Kubernetes, ensuring seamless
  scalability and fault tolerance
  ● Implemented CI/CD pipeline using Argo Workflow, ArgoCD, and Github Actions, enabling automated testing, build, and
  deployment of new features with improved efficiency and reliability
  ⠀⠀⠀ → Create yaml template for the build and the test of new features in Argo Workflow
  ⠀⠀⠀ → Create application file for ArgoCD to synchronize the deployment on the clusters
  ⠀⠀⠀ → Github Action to test the quality of the code " Static Code Analysis " and Integration Test
  ⠀⠀⠀ → Managed and maintained the CI/CD pipeline, ensuring smooth integration and deployment of code changes across
  multiple environments
  ● Implemented Monitoring and logging solutions using Prometheus and Grafana, providing real-time visibility into the
  performance and health of the infrastructure
  ⠀⠀⠀ → Deploy Prometheus & Grafana, create dashboard and code queries for metrics
  ● Optimized the deployment process by implementing Blue-Green deployments and canary releases, reducing downtime and
  minimizing the impact of new releases on the production environment "Canary"
  ⠀⠀⠀ → Progressive deployment (weight)
  ● Scalability with HPA / Optimization code for web socket / Replicas / put algorithm on load balancer
  ● Resilience pod on node-group in different region (az) / Replicas / Snapshot / PVC & PV for MongoDB / Back up / Job / ALB
  for each services
  ● Performance with CDN Cloud Front / Global Accelerator / Simulator to simulate + 10 000 charging station / ALB or NLB
  (depends ip static or not, etc...) for each services / K6 to simule in each region the performance and retrieve all Metrics in
  Grafana
  ⠀⠀⠀ → Setup a Profiler for NodeJS " Clinic JS " to optimize the code to have a better Performance
  ⠀⠀⠀ → Collaborated with the development team to optimize application performance, reducing response time by 40%
  ● Implement security best practices, including vulnerability scanning
  ⠀⠀⠀ → Put in place Sonarqube
  ⠀⠀⠀ → Scanning vulnerability of containers with Snyke
  ● Implemented automated scaling of infrastructure based on traffic patterns, resulting in cost savings of 20% on cloud
  resources "Self Service" Finops
  ⠀⠀⠀ → Spot and Reserved by years
  ⠀⠀⠀ → Manages service of AWS (switch from tools consume a lot resource to manages services)
  ● Secure the solution
  ⠀⠀⠀ → Attack DDOS with annotation ingress (rps) and manage services AWS
  ⠀⠀⠀ → Secret with Gihtub Secret / Sealed Secrets / Sops and Secret Manager on AWS
  ● Developed and maintained documentation for infrastructure and deployment processes, facilitating knowledge sharing and
  onboarding of new team members
  ● Led the implementation of a disaster recovery plan, ensuring business continuity in case of infrastructure failures

• Devops Engineer

  AZURE AMADEUS Sophia Antipolis, France
  Jan 2020 - Jan 2022

  Successfully Migrated multiple applications and data to the Azure Cloud, resulting in improved scalability and cost
  efficiency.
  Automated deployment of applications on AKS, reducing deployment time by 50%.
  Implementation of a monitoring and log management infrastructure, enabling proactive detection of problems and faster
  resolution
  Working with development teams to optimise application performance and reduce infrastructure costs by 30%.
  Implementation of a data backup and recovery strategy, ensuring continuous availability of services
  Training internal teams in DevOps best practice and cloud technologies, improving their expertise and productivity

• Devops AZURE

  Apprenticeship AMADEUSSophia Antipolis, France
  Jan 2018 - Jan 2020

  Collaborated PAAS Data-Mesh on the cloud, enhancing data accessibility and security.
  Implemented highly available infrastructure using AKS, Terraform, and Ansible, ensuring continuous availability of
  applications.
  Collaborated with cross-functional teams to integrate BI platforms on the cloud, enabling automatic deployment on both
  internal PAAS and public clouds.

• Devops AZURE

  AZURE Intern AMADEUSSophia Antipolis, France
  Jan 2018 - Jan 2018

  Collaborated with the team to implement and maintain OpenStack and OpenShift Platforms, enabling seamless deployment
  and management of applications. :
  Contributed to the continuous integration and continuous deployment (CI/CD) pipeline, streamlining the software
  development and release process :
  ● Create a Tool in Python / Robot Framework and Flask to Automated the testing process for the QA team by developing a
  Python tool using Robot Framework and Flask, resulting in a significant reduction in manual effort and improved efficiency.
  ● for QA Team to Automate the tests with
  ● Provisioned and managed development, staging, and pre-production environments for the developers, ensuring they had all
  the necessary packages, languages, and libraries to deploy new features
  ● Optimized resource utilization in the data center by conducting a comprehensive inventory of server topology and updating
  packages, languages, and libraries using Ansible Playbook.
  
  HOBBIES
  COMMUNICATION WITH CHARGING...