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Experience with Containers and Container orchestration Kubernetes platforms such as PODMAN, docker, EE/OpenShift/Rancher. Experience with Containers and Container orchestration Kubernetes platforms such as PODMAN, docker, EE/OpenShift/Rancher.
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Experience with containerization technologies such as Docker, Kubernetes, and OpenShift. Working with containerization technologies such as Docker, Kubernetes, and OpenShift. The Remote WebSphere Middleware Administrator will support our government client in Parkersburg, WV. The Middleware Administrator will manage a Federal Agency WebSphere Application Server (WAS), IBM HTTP Server (IHS), Message Queuing (MQ), IBI WebFocus, DB2 database, Oracle database, Apache/Tomcat, IBM Spectrum Protect, Veritas NetBackup, Data Transport/Managed File Transfer, and IBM Connect:Direct middleware applications.
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Being proficient with SQL SQL query and performance tuning Amazon RedshiftExperience with some of the following is a huge bonus: Amazon EMR Apache Spark Scala Git (or other modern source control) Runtime Configuration Management (e.g. 12 Factor Apps) Continuous Build Systems (Jenkins, Bamboo, etc.
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Hands on in Hadoop Ecosystem (Kafka, Spark, Scala, Hive) is a plus. Site reliability engineering (SRE) fuses the software engineering and operations disciplines. Knowledge/Experience in Core Java, GoLang, Rust,Python.
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Kafka, Docker, Jenkins, Spinnaker, SRE. Extensive experience of using CI-CD tools like GIT, Docker, Jenkins, Ansible, Spinnaker etc. Proficiency with docker deployments using Kubernetes.
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Knowledge of virtualization technology such as Docker, Kubernetes, Helm. Preferably worked with NoSQL databases (Cassandra, Mongo), Data Warehouses (presto, impala, snowflake, redshift), streaming technologies such as Kafka.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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AWS Cloud, Kubernetes, Docker, and other commonly used tools & techniques for building high performance distributed systems on the cloud. Experience & understanding of DevOps including building CI/CD pipelines using Docker, Jenkins/ Gitlab CI & Kubernetes.
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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Knowledge of Docker/Kubernetes deployment, configuration, scaling, and management of containerized applications is a plus. Perform Administration and Engineering activities on Open-source Hadoop, Open-source Spark, Airflow, Machine learning platform running on Open-source Kubernetes clusters.
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You'll harness your expertise in tools like Jenkins, Docker, Kubernetes, and scripting languages to automate processes and ensure the scalability and reliability of our infrastructure. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes.
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DevSecOps, CI/CD, Agile, TDD and/or BDD, containerization (Kubernetes/Docker), unit testing and mocking frameworks. NET, Angular, React, JAVA/ J2EE, JSON, XML, SOAP, Spring/Spring Boot, Kafka, Sonar or equivalent code quality tool, GitHub, GitHub Advanced Security, etc.
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Agile, CI, CD, DevOps, Git, Agile, Jira, Cybersecurity, IoT, Docker, Kubernetes, Bash, PowerShell, UI, UX, Big data, Data analytics, Agile, CI, CD, DevOps, Git, Agile, Jira, Cybersecurity, IoT, Docker, Kubernetes, Bash, PowerShell, UI, UX, Big data, Data analytics.
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Proficiency in Python, Jupyter, AWS, Snowflake, Tensorflow, SciPy/NumPy, Docker and/or other relevant tools. Proficiency in Python, Jupyter, AWS, Snowflake, Tensorflow, SciPy/NumPy, Docker and/or other relevant tools.
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Position is located on site, 5 days a week, in Austin, TX. Experience 2+ years as a Lab Manager, Software tester, or Hardware tester for a company that builds cloud connected devices and services Experience working in an agile development environment An understanding of modern tools and technologies needed to support large scale distributed systems (Docker, Kubernetes, Virtualization, etc.
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Deploying and configuring container images using Docker and Kubernetes clusters in collaboration with the project's managers, engineers, network teams, and infrastructure teams. The Linux support engineer role will be responsible for administration of Linux servers used by Hadoop application.
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