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Strong technical understanding and experience in SaaS industry Experience with one or more of the following technologies related to Dynatrace: Cloud/new stack technologies such as OpenStack, OpenShift, AWS, Azure, Google Cloud, Cloud Foundry, Kubernetes, SAP, etc.
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Design, architect, and implement defensive security controls across Palantirs multi-cloud multi-tenant SaaS infrastructure based on Kubernetes, OpenShift and several other popular open-source technologies.
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5+ years of direct information security experience with deep exposure in protecting one or more container orchestration platforms (Kubernetes, OpenShift). Family planning support, including fertility, adoption, and surrogacy assistance.
$145,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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SLAC is a U.S. Department of Energy (DOE) National Laboratory operated by Stanford University and based in Menlo Park, CA. Your specific responsibilities will include:Implement and maintain container-based microservices and serverless applications using Kubernetes, Swarm in IaaS cloud or hybrid on-premise.
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Experience with Linux and containers using Docker and Kubernetes is a big plus. Experience with some or similar or all of Spark, Airflow, Hive, Druid, Presto, PostgreSQL, DBT, ETL, and familiarity with key/value databases.
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The ideal candidate will possess 7+ years of hands-on experience in DevOps methodologies and expertise in Azure DevOps, AWS, Terraform, Kubernetes, and GitHub Actions. Proven expertise in Azure DevOps, AWS, Terraform, Kubernetes, and GitHub Actions.
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Stay up-to-date with the latest security trends and technologies, including those related to Telco 5G and Kubernetes. Experience with Telco 5G security and Kubernetes security. Collaborate with other teams to ensure the security of our Kubernetes clusters and applications.
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Preferred experience with setting up Kubernetes (Container Orchestration), Istio (service-mesh), Nginx on Bare-Metal servers using Python, Ansible, CLI, Terraform interfaces. Hands-on experience with continuous integration and delivery using a public cloud such as AWS, Azure, or GCP and container technologies such as Docker, Rancher, etc.
$94,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Tech: Java, SQL, Hadoop, Azure, Kubernetes. Regulations like: SOX, MRC, DMA, DSA, SOC, ISO, GDPR. This pivotal role will involve establishing and maintaining engineering compliance processes and system controls including focus on Internal Metrics, SOX, MRC, DMA, DSA and other key compliance requirements for LinkedIn Engineering.
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Strong understanding of cloud technologies (e.g., AWS, Azure, GCP) and expertise managing cloud native applications on Kubernetes. Proven experience with containerization and orchestration tools (e.g., Docker, Kubernetes.
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Through relentless innovation and discovery, we are transforming the worlds of TVs, smartphones, wearable devices, tablets, digital appliances, and network systems, and the entire semiconductor industry with our memory, system LSI, foundry, and LED solutions.
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Experience in tools and best practices in common environments e.g. Git, Terraform, Ansible, Docker, Kubernetes, etc. Experience in data analytics technologies, ETL, GCP Bigquery, Snowflake, Kafka, Spark, etc.
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ML: Python, BQMLFrontend: Clojurescript, React, GraphQLBackend: Clojure, JVMInfrastructure: Kafka, Docker, Kubernetes, Packer, Terraform, AWSData: BigQuery, Tableau, BEAM Our engineering culture & valuesCheck out our to learn more about who we are.
$173,000 - $221,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working with cloud services like GCP, or Azure, and container technologies such as Docker on Kubernetes. Experience in building big data solutions using Java, Kotlin, Kafka Messaging, GCP BQ using cloud based deployment strategy.
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You know data structures, you know Python and (optionaly) Go. Our tech stack Google Cloud Platform, DataFlow, Apache Beam, BigQuery, BigLake TableOpen formats IceBerg, Avro, ParquetDataProc, Spark, Flink, PrestoPython, GOApache Kafka, Kubernetes, GitLabBigTable, Mongo, Redis.
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foundry kubernetes jobs in Palo Alto, CA
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