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Experience with infrastructure provisioning tools helping to create and manage a collection of related resources like Terraform, CloudFormation (AWS), Azure Resource Manager (ARM), Google Cloud Deployment Manager, etc.
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Familiarity with cloud data storage solutions such as AWS S3, Google Cloud Storage, Azure Blob Storage, AWS Redshift, Google BigQuery, Azure SQL Data Warehouse, or others.
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We develop mainly in Golang, partly in Java, and also use Terraform, Kubernetes, Redpanda, Gazette, Hadoop and multiple Google cloud technologies (BigTable, BigQuery, Datatransfer jobs , Pub/Sub etc.
$110,000 - $166,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Hands-on experience with at least one cloud platform (AWS or Google Cloud) and at least one modern big data product such as Databricks, Snowflake, and BigQuery. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
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Proven experience with LoadRunner, Selenium, Docker, Kubernetes, Jenkins, Azure DevOps, Veracode, MSFT Power Platform, MSFT Power Automate, and cloud platforms (Azure/AWS). Ensure robust cloud security practices in environments like Azure and AWS.
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Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud. We are seeking a versatile engineer who is experienced in building responsive, accessible, and performant user interfaces for cloud applications.
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Cloud services (AWS, Google Cloud, Microsoft Azure, etc); Authoring and maintaining IaC with Terraform and using IaC to deploy resources in AWS, Azure, GCP, or any other public cloud providers.
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Experience in building software on AWS cloud computing such as OpenSearch, DynamoDB, EMR and S3. Experience working in machine learning, and technologies such as Amazon SageMaker and Google Cloud ML.
$151,800 - $323,400 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Advanced knowledge of Amazon Web Services (AWS) and cloud infrastructure. Experience in developing an end-to-end AWS native platform for building Data lakes (S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation (or Terraform), CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena.
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Experience implementing cloud connectivity solutions using AWS Direct Connect, Google Cloud Platform Cloud Interconnect, and OCI Fast Connect. Experience with hosted environments such as AWS, Oracle Cloud Infrastructure, Google Compute Engine, or Azure.
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Conceptually familiar with AWS cloud resources (S3, EC2, RDS, etc) Senior Data Warehouse Engineer. Expert in engineering modern warehouse technologies and processes ( Redshift, Snowflake, Netezza, Teradata, BigQuery, Presto, etc.
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Experience with modern deployment and CI/CD practices (Docker, Kubernetes, and Spinnaker) TuneIn offers competitive salary, bonus, and equity compensation packages. Our data warehouse, based on S3 and Redshift, has petabytes of data and forms the base of many data products we have at TuneIn.
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Advanced proficiency and/or experience managing an IT Engineering team owning a modern stack of systems and applications like Okta, Google Workspace, AWS, Jamf, Intune, Meraki, Slack, Zoom, Github, Snowflake, Jira Software, Jira Data Center.
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google cloud aws jobs Title: senior Company: Capital One in San Francisco, CA
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