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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Python and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java.
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Je vaardigheden zijn sterk rond: Kubernetes (K8S), Terraform, Azure RM, AWS CloudFormation, Google CDM, Openshift, OpenStack, Chef, Puppet, Ansible, PowerShell, Bash, Python, Gitops (Maak je geen zorgen, je hoeft niet ALLE bovenstaande skills te hebben.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of containerization and orchestration technologies (e.g., Docker, Kubernetes). Familiarity with web frameworks (e.g., Django, Spring, Ruby on Rails.
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Knowledge of cloud platforms (AWS, Azure, Google Cloud) Familiarity with containerization technologies (Docker, Kubernetes) Knowledge of cloud platforms (AWS, Azure, Google Cloud.
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Cloud Infrastructure Deployment: Lead the deployment and management of AI services on cloud platforms such as AWS, Google Cloud, and Azure for scalability, security, and cost optimization.
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1 year of experience with technologies such as Kafka, RabbitMQ, SQS, Ansible, Terraform, Docker and Kubernetes, Jenkins, Spinnaker, Azure DevOps, TeamCity. Any experience with always-on and high-volume web server stack, Azure/GCP PaaS and Azure/Google networking, provisioning native Managed Apps & CI/CD pipelines.
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Experience with relational databases (e.g., MySQL, PostgreSQL) and writing efficient SQL queries. Familiarity with NoSQL databases (e.g., MongoDB, Cassandra). Proficiency in at least one backend programming language such as Python, Java, or Ruby.
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Familiarity with cloud technologies (AWS, Azure, Google Cloud) is a benefit. Hands-on experience: The candidate will need to work with various network and security solutions, including traditional firewalls, NSX components, and cloud workloads (VMs, Kubernetes, bare metal.
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Experience developing applications hosted with a cloud provider such as Amazon Web Services, Microsoft Azure, Google Cloud Platform, or similar IaaS/PaaS providers. Experience implementing applications for execution in a containerized production environment; for example Docker in a container orchestration platform like Amazon ECS or Kubernetes.
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Multi-Cloud experience (AWS, Azure, Google) , cloud networking, monitor, serverless, kubernetes. Experience in least one major manufacture such as Palo Alto, Fortinet, Juniper, CheckPoint, Dell, HPE/Aruba and Cisco for Layer 2/3 network switching, wireless Network technology, Firewall technology, SDN and WAN.
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Career level years of proven experience in leading test strategy Cloud products such as AWS, Google Cloud Platform (GCP), and Azure. You will also have the chance to work on different public cloud platforms (AWS, GCP, Azure) to automate cloud orchestration, visualization and alerting mechanisms.
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Experience with cloud-based data platforms like AWS, Azure, or Google Cloud. Experience with containerization technologies such as Docker and Kubernetes. Deploying and managing big data and cloud-based technologies to enable real-time and batch data processing.
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Proficiency in cloud technologies (e.g., AWS, Azure, Google Cloud) and hands-on experience with infrastructure as code tools (e.g., Terraform, Ansible). Relevant certifications such as AWS Certified DevOps Engineer, Certified Kubernetes Administrator, or equivalent, are a plus.
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2+ years of experience with AWS, GCP, Azure, or another cloud service. Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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