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Expérience dans la conception et le développement d'applications cloud natives avec une architecture de microservices s'exécutant sur la plateforme Docker/OpenShift/Kubernetes 5+ années d'expérience dans le développement d'applications web en JavaScript, Angular, HTML et CSS Expérience de travail avec MQ, Tibco, Apache Kafka ou le logiciel de messagerie Solace et tout SGBDR Expérience dans le développement d'API et les meilleures pratiques de sécurité des applications (Oauth, TLS, PKI, etc.
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AWS ecosystem (S3, Route 53, Aurora RDS, EKS, Redis, AWS DMS, AWS Glue), Terraform, Talend ETL, Snowflake datalake, PowerBI, Bitbucket, Docker, linux ( shell scripting ), SAML, OIDC, Virtualization : hands-on experience is a plus.
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With data serialization formats such Apache Arrow/Parquet, Google Protocol Buffers, Flatbuffers. with Google Cloud/AWS and/or containerization in Docker/Kubernetes. with data serialization formats such Apache Arrow/Parquet, Google Protocol Buffers, Flatbuffers.
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Experienced python developers with microservice methodologies, using services like step functions, lambda, api gateway, terraform, and docker. seasoned, well experienced python developers with microservice methodologies, using services like step functions, lambda, api gateway, terraform, and docker.
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Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes.
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Experience with source control and continuous integration / continuous delivery pipelines-Hands-on experience on Cloud platforms (Azure or AWS), Docker containers, Kubernetes / OpenShift. Strong infrastructure knowledge in Linux / Unix, Storage and Networking-Hands-on experience with load balancers, web servers (Apache / Nginx), application servers (Tomcat / JBoss) to include application integration, configuration, and troubleshooting.
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Senior Level Web Backend Technologies (Such-as: Linux, Docker, Kubernetes, nginx, Django, GraphQL) Cluster technologies: Docker, Kubernetes, Argo Workflows. Senior Level Web Backend Technologies (Such-as: Linux, Docker, Kubernetes, nginx, Django, GraphQL.
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Maîtrise des outils et des technologies DevOps tels que Docker, Kubernetes, Jenkins, Git, etc. Automatiser les tâches récurrentes telles que le provisionnement de l'infrastructure, la configuration des environnements et le déploiement d'applications.
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Frameworks: Apache Mesos, Kafka, Spark, and Amazon Kinesis. Containers: Docker and Kubernetes. Development: Node.js/Typescript, Spring Boot/Java. Embracing and applying new technologies such as functional programming, distributed computing, machine learning, advanced data engineering, and serverless computing.
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Une expérience des technologies de conteneurisation telles que Docker et Kubernetes est requise. Concevoir, mettre en œuvre et maintenir des clusters Kubernetes en utilisant les services Azure Kubernetes (AKS) et les principes de l'Infrastructure as Code (IaC.
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Knowledge of Docker, Kubernetes & Openshift. Knowledge of Docker, Kubernetes & Openshift. Strong knowledge of core Java: class loading, garbage collection, Java collections API, Reflections API, Java Streams and Functional Programming.
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Uvrer dans un environnement C#, Blazor, SQL, NoSQL, Python, Kubernetes, Docker, AWS. Work in a C#, Blazor, SQL, NoSQL, Python, Kubernetes, Docker, AWS environment. uvrer dans un environnement C#, Blazor, SQL, NoSQL, Python, Kubernetes, Docker, AWS.
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Atout : familiarité avec les plates-formes cloud (par exemple, AWS, Azure, Google Cloud) et la conteneurisation (par exemple, Docker, Kubernetes); Atout : familiarité avec les plates-formes cloud (par exemple, AWS, Azure, Google Cloud) et la conteneurisation (par exemple, Docker, Kubernetes.
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Connaissance de Kubernetes et Docker. Connaissances de GitHub Actions, Jenkins, Concourse CI, Azure DevOps et HashiCorp Vault (un atout) Connaissance du concept d'« Infrastructure as Code » avec des outils tels que Terraform.
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Extensive experience with Apache Spark, including Spark SQL, DataFrame/Dataset APIs, and Spark Streaming. Extensive experience with Apache Spark, including Spark SQL, DataFrame/Dataset APIs, and Spark Streaming.
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