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Experience with Microsoft Azure services, including but not limited to Azure Functions, App Services, and Azure SQL Database. Leverage Azure services (e.g., Azure Functions, App Services, Azure SQL Database, etc.
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Expert level cloud engineer, with hands-on management of production and non-production cloud-based software solutions running on Microsoft Azure. AZ-900 Microsoft Azure Fundamentals.
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In-depth understanding of Azure data engineering stacks, such as SQLDB, Azure Functions, Synapse, Data Factory, Data Lake Storage, Purview, and CosmosDB (Databricks and Snowflake will be considered highly advantageous.
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Experience with Microsoft Azure DevOps. Deeply understand and teach best practices across technical stack: SQL, C#, Angular, ElasticSearch, NodeJS, CosmosDB, Azure Blob, Databricks.
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The engineering team uses Node and React Javascript/Typescript frameworks, GraphQL, and a number of cloud tools and skills on GCP. Experience with pipeline orchestration software (e.g. Airflow, Dagster, Prefect) and data streaming technologies (e.g. airbyte, datastream, artie, fivetran, or your own flavor), especially in a cloud data environment, such as AWS, Azure, or GCP is essential for this role.
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Founded by a neurologist who put his vision of compassionate, high-quality patient care into practice, we remain on a mission to transform the lives of individuals with autism and other neurodevelopmental disabilities in New Jersey, Pennsylvania, and beyond.
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Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems.
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GM, Honda, Microsoft, T. Rowe Price, and Walmart have invested billions in Cruise. As a software engineer on the Simulation team, you will be in the driver seat of our mission to revolutionize autonomous vehicle testing and evaluation in simulation.
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Cloud-based Big Data/MPP analytics platforms like Snowflake, AWS Redshift, Google BigQuery, Azure Data Warehouse. Workflow management engines like Dagster, Airflow, Google Cloud Composer, AWS Step Functions, Azure Data Factory or similar.
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Ability to code, so you can proactively support solutions, such as Bash scripting for our Plugins and Ruby on Rails or Golang for our other tooling. Experience with our customer technology stack, such as Buildkite and other CI/CD, test tools, Linux, AWS, GCP, Azure, Terraform, Kubernetes, etc.
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Experience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologies. Advanced understanding of DevOps concepts including Azure DevOps framework and tools.
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1+ years of experience maintaining and deploying web applications and services on cloud providers such as AWS, GCP, or Azure. Experience developing and deploying containerized and serverless applications on AWS.
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Nerdio adds value on top of the powerful capabilities in Azure Virtual Desktop, Windows 365, and Microsoft Intune by delivering hundreds of features that simplify management, ensure efficient operations, and lower Azure compute and storage costs by up to 80% viaautomation.
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Experience with cloud platforms such as GCP (preferred), AWS, Google Cloud, or Azure. Hands-on experience with big data technologies such as Hadoop, Spark, or similar frameworks. We typically do a longer call with one of our team members who can appropriately vet your skills & speak your language - on the engineering side, this might mean some technical questions, while on the sales side, we'll ask you to build a quick presentation about yourself.
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Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems who holds multiple academic and industry research awards from Google, Amazon, Facebook, and VMware.
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