Azure Cloud Developer Remote Jobs

You will be responsible for migrating current services to the OpenShift platform and making the infrastructure Cloud agnostic. Your primary skillset must include Microsoft Azure and Cloud Eng Azure.

As a Senior Cloud Engineer, you will be responsible for designing, building, and implementing highly complex machine learning systems using Spark and TensorFlow in Azure Kubernetes Service. The ideal candidate should be experienced in containerization technologies, including Docker, Kubernetes, and Helm, with excellent knowledge of Python and Azure Machine Learning Pipelines (AML). Knowledge and experience with machine learning are a plus.

The customer is a Spanish multinational clothing company, the biggest fashion group in the world. The main pool of tasks is associated with implementation of the Cloud services (both Azure and GCP) for the customer’s platform.

The ideal candidate will have knowledge of Kubernetes and its ecosystem in mission-critical services with best practices, experience in Terraform/Helm deployment and configuration scripting language, and experience working with relational/NoSQL databases.

In this role, you will be responsible for implementing and designing solutions, building CI/CD pipelines, and proposing improvements to existing solutions. The ideal candidate should possess practical experience with Azure, CI/CD pipelines, Jenkins, Git, maven, Docker, Terraform, Kubernetes, and Vault.

The ideal candidate will have a strong background in Cloud Engineering, specifically Azure containers, Kubernetes, and Terraform. As a Lead, you will be responsible for the overall design and implementation of Azure Kubernetes Cluster configurations, Azure Cloud routing, and API management. You will also need excellent communication skills to manage the team and be a self-starter to define the project plan with little direction.

The candidate will be responsible for leading the development of cloud-native microservices using Azure technologies and implementing new product-oriented operating models. It is expected the candidate will have experience with Azure Kubernetes Service, Helm, Terraform, and Docker. The candidate must be able to communicate fluently in English at an upper-intermediate level.

The ideal candidate should have experience in developing and implementing Azure infra-as-code using ARM/Bicep or Terraform, Kubernetes pod deployments and configuration using Helm charts, and an understanding of Kubernetes network configuration along with release engineering processes optimization. Fluency in upper-intermediate English communication and exceptional interpersonal skills are essential.

We are currently looking for a remote Senior DevOps Engineer with 3+ years of DevOps experience and Azure Cloud skills to join our team. The customer is an insurance and reinsurance company that leverages analytics and research to create underwriting and investment value for its clients and shareholders.

The ideal candidate will possess strong skills in Azure Containers, Docker, Kubernetes, and Istio, and will have experience with GCP, Angular, and Linux. This individual will be responsible for cloud infrastructure automation, CI/CD pipeline development and maintenance, observability enhancement, operation support, and automation test enhancement.