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Microsoft Certified: Azure Administrator Associate. Designs, develops, tests, deploys, and maintains an Azure cloud based infrastructure supporting a prototype Electronic Security System (ESS) being developed by the project team.
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Knowledge of version control systems, such as Azure DevOps, is preferred. Required: PyTorch, Tensorflow, Keras, Numpy, OpenCV/Pillow. Knowledge of version control systems, such as Azure DevOps, is preferred.
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Experience with Configuration management/infrastructure-as-code (Terraform) Cloud infrastructure (AWS: EC2, VPC, S3, EFS, ECR/ECS, IAM, CloudTrail, CloudWatch, etc.) Experience with Configuration management/infrastructure-as-code (Terraform) Cloud infrastructure (AWS: EC2, VPC, S3, EFS, ECR/ECS, IAM, CloudTrail, CloudWatch, etc.
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Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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Strong experience with SCCM and Azure Intune/Microsoft MDM. With focus around patching, imaging, and application packaging and deployment. Strong experience with SCCM and Azure Intune/Microsoft MDM. With focus around patching, imaging, and application packaging and deployment.
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Extensive operational experience analyzing security detections, performing investigations, and conducting incident response in multi-cloud (AWS/GCP/Azure) environments – working knowledge of the implications in a microservices architecture (EKS/GKE) is a big plus.
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Experience with hosting applications on commercial Cloud providers, including AWS, Azure, or GCP. Experience developing tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and pushing releases across environments.
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AWS Support Experience or equivalent: S3 (creating, deleting, lifecycle policies, encryption, publishing static web sites), IAM (Creating, deleting, key generation/suspension, JSON policies for users and all other resource types), EC2 (Creating, deleting, restoring, networking, resource monitoring/adjusting), Security groups, EBS volumes, snapshot/backups, Service Catalog, VPC (create, modify, delete.
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Program and build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL, message brokers and/or MS Azure big data technologies.
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Experience in leveraging continuous integration and robust build/test automation, with a preference for cross platform stacks and containerization (Azure DevOps, GitHub Actions, JFrog Artifactory.
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The position requires a minimum of a Bachelor's degree in Computer Science, Information Technology, or a related field, and 5 years' experience in the job offered or any related occupation, to include, 5 years' experience in a data engineering role; and 5 years' experience working with cloud-based PaaS platforms, including Azure; and 5 years' experience utilizing RDMS tools and languages.
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Proficiency in CI/CD pipeline setup and maintenance using tools like Jenkins, GitLab CI/CD, or Azure DevOps, with a focus on app build, test, and deployment automation. Implement and manage cloud-based solutions (e.g., AWS, Azure, Private Cloud) for app hosting, data storage, and backend services, ensuring scalability, reliability, and cost efficiency.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Proficient in modern development practices in Azure DevOps including CI/CD setup & code quality checks. 3+ years of relevant experience working with Azure PaaS resources such as Azure Service Bus, Azure App Service, Azure Functions, CosmosDB, Azure SQL, Azure APIM, and Azure Notification Hub.
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3+ years of experience with Cloud platforms such Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP) A firm understanding of the offerings and capabilities within Amazon Web Services (AWS) and/or GCP and Microsoft Azure platforms.
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Experience in implementing continuous integration/continuous deployment (CI/CD) pipelines for apps using tools like Jenkins, GitLab CI/CD, or Azure DevOps. Experience in cloud platforms (e.g., AWS, Azure, Google Cloud) and infrastructure as code (IaC) tools for managing app infrastructure and deployments.
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