Design, build, and maintain scalable infrastructure on AWS cloud platforms, ensuring high availability and performance of systems.
Create and maintain CI/CD pipelines to automate deployments, ensuring code is seamlessly tested, delivered, and released to production environments.
Deploy and manage containerized applications using Kubernetes in a production environment, ensuring clusters are properly maintained, scalable, and secure.
Collaborate closely with developers to address their infrastructure needs, optimize resource utilization, and enhance the performance and reliability of systems in production.
Participate in an on-call rotation to respond to critical infrastructure issues and ensure minimal downtime.
Apply best practices in testing, security, performance monitoring, and efficient resource utilization.
Minumum of 9 years of experience in a DevOps or infrastructure role, including a minimum of 5 years in a DevOps role with cloud platforms.
Experience working with AWS and micro-services.
Strong understanding and hands-on experience with Kubernetes for container orchestration, including cluster management, application scaling, and ensuring reliability.
Proficient in automating infrastructure and processes using tools such as Terraform and Ansible.
Experience with monitoring and observability tools such as Datadog, Prometheus, or similar, to ensure system reliability and performance.
Autonomous and solution-oriented mindset and ability to efficiently resolve complex problems.
Excellent collaboration and communication skills, enabling effective work with developers, tech leads, and other members of the client's team.
Concevoir, construire et maintenir une infrastructure évolutive sur des plateformes cloud AWS, garantissant la haute disponibilité et les performances des systèmes;
Créer et maintenir des pipelines CI/CD pour automatiser le déploiement, en garantissant que le code est testé, livré et publié dans les environnements de production;
Être responsable du déploiement et de la gestion des applications conteneurisées à l'aide de Kubernetes dans un environnement de production, en veillant à ce que les clusters soient correctement entretenus, évolutifs et sécurisés;
Travailler en étroite collaboration avec les équipes de développement pour répondre à leurs besoins en infrastructure, optimiser l'utilisation des ressources et améliorer les performances et la fiabilité des systèmes en production;
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