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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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Working familiarity with Terraform, Github, and DevSecOps workflows. Working knowledge of Cloud Security Posture Management (CSPM) and Vulnerability Management Tools. 7+ years plus of cybersecurity experience with 3+ years of cloud security experience.
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Strong knowledge of modern cloud compute automated provisioning DevOps Pipelines using technologies such as : Terraform, Harness, YAML, Jenkins, JFrog, Sonar, VeraCode, Lamda. The Secrets engineer will be expected to build a multi-cloud infrastructure that manages application secrets and keys in alignment with corporate security policies.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Knowledge of infrastructure as code tools like AWS Cloud Formation or Terraform. As a Junior Java AWS Developer, you will play a crucial role in developing, deploying, and maintaining cloud-based applications on the AWS platform.
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Experience with Azure cloud services, Microservices, Kubernetes, IAC, Github actions, Terraform, and API Management Systems, ensuring efficient deployment, management, and scaling of backend applications preferred.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience in writing Infrastructure as Code using CloudFormation, CDK (Cloud Development Kit) and Terraform. Seeking an accomplished AWS cloud engineer with experience in cloud-based tech with a firm understanding on cutting-edge technologies, platforms, and applications.
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Work with our business partners to identify requirements and architecture and implement scalable, open solutions using Cloud Native technologies, including and leveraging AWS services, Machine Learning techniques, GIT, Jenkins, Docker containerization and virtualization, and Terraform.
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Knowledge or experience with infrastructure (operating system and networking) and cloud administration and automation such as Terraform for Infrastructure as Code. Experience with cloud data warehouse and analytics technologies, specifically Azure Synapse, Azure Data Factory, Azure Data Lake Storage, Power BI, and other Azure data solutions.
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Experience with Infrastructure-as-code development (e.g., Terraform, Cloud Formation, Ansible, Chef, Bash scripting, etc.) Familiarity with popular MLOps tooling from cloud vendors like GCP (Vertex AI), AWS (SageMaker) or Azure Machine Learning and MLFlow, Kubeflow, etc.
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Strong System Admin experience using Infrastructure-as-code with tools such as Ansible, Puppet, Chef & Terraform. Take part in prototyping, crafting, and developing cloud infrastructure for NVIDIA.
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Handling automation scripts using Ansible, Terraform and/or Cloud Formation is preferred. Hands-on Python and Unix shell scripting is required with a strong advocate of DevOps principles in setting up continuous integration of source code pipelines using Bitbucket, Jenkins, Terraform, Ansible and continuous deployment pipelines using Artifactory and Spinnaker.
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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. 4+ years of experience in the cloud SRE/DevOps/Infrastructure, or any related fields.
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This is an excellent opportunity for an ambitious individual who is passionate about cloud development and wants to gain hands-on experience with AWS technologies. Collaborate with cross-functional teams to gather requirements and contribute to the design and architecture of cloud-based applications.
$62,000 - $72,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Develop a comprehensive migration strategy for our data infrastructure and workloads to GCP Handle complex migrations from legacy Teradata warehousing solutions or on-prem Hadoop/Hive to Big Query in GCP Implement Cloud based solutions based on various GCP services and technologies such as BigQuery, Dataflow, Dataproc, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL, Cloud functions and Cloud scheduler.
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1 Year experience of deploying google cloud services using Terraform. 3 years of Google Cloud Platform experience working in Google Cloud Platform based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big.
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