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Integrate Docker containers using Kubernetes, Rancher, Helm and other DevOpsSec integration tools. Assist in the maintenance of services and procedures for a big data pipeline which includes Kafka, Elasticsearch, and several in house written python/java micro services running on Kubernetes.
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Approximately six years of experience with Kubernetes, REST, Docker and containerized microservices. Leidos' High Fidelity Simulation Business Area is responsible for architecting and implementing large-scale system of systems solutions in support of world class simulation, training, and analysis products for the US Navy. On this opportunity located at a US Government facility in Bethesda, MD, you will lead using state of the art technologies in developing sonar tactical decision aids used by the Fleet.
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S, Micro Services, Node, React, Python, Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Capital One is open to hiring a Remote Employee for this opportunityBasic Qualifications: Bachelor.
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And containerization (Docker, Kubernetes, etc.) Desired Skills Nice To Have Familiarity with deep learning frameworks (PyTorch, TensorFlow, Keras, etc.) As an AI Research Scientist, you will advance the state-of-the-art in AI research, collaborating with cross-functional teams to integrate your findings into practical solutions that support U.S. national security.
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Experience and proficiency implementing frontend and backend services for cloud-native software products and solutions such as VueJS, JavaScript, Python, Django, Flask, Docker, EKS/Kubernetes, AWS Step Functions, EventBridge, AWS Lambda, AWS API Gateway, Elasticsearch, Caching frameworks, Redis, Memcached, the Amazon Relational Database Service (RDS) for Postgres, and/or the MongoDB NoSQL database service.
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Containerization of Java SpringBoot application including packaging, deployment and configuration using Docker and Kubernetes. Containerization of Java SpringBoot application including packaging, deployment and configuration using Docker and Kubernetes.
$65 an hourRemoteExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Experience with data engineering tools such as Kubernetes/Rancher, Cloudera. Manage, maintain, configure, and deploy system integration tools such as Kubernetes, Rancher, Helm. Experience with data engineering tools such as Kubernetes/Rancher, Cloudera.
$157,450 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Strong knowledge of Kubernetes. 4 Years+ Experience as a SRE. Risk management Framework security experience. Strong knowledge of Kubernetes. Please note if you do not have an active Secret clearance or higher I can not submit your application.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with containerization tools like Docker and orchestration tools such as Kubernetes for managing containerized applications at scale. Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform, and their respective services for hosting and managing microservices.
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Knowledge of Elasticsearch security practices, including role-based access control and SSL/TLS.Scripting and automation skills with tools like Python, Bash, or Ansible. Knowledge of Atlassian software such as JIRA, JIRA Service Desk, and Confluence.
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Hands-on experience with Docker, Kubernetes or OpenShift and related container platform ecosystems. Remote work including partial or fully remote (contract and project-dependent). Hands-on experience with Docker, Kubernetes or OpenShift and related container platform ecosystems.
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Knowledge of how to secure technologies such as SaaS services (e.g., O365, Salesforce), Application Design, Container Platforms (e.g., Docker, Kubernetes), Serverless, Big Data, Network, Operating Systems, Identity and Access Management.
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Proficiency in distributed systems, microservices, containerization technologies (e.g., Docker, Kubernetes), model training infrastructure, orchestration tools, and MLOps principles. We were founded in 2014, and since then, we've become the largest network of independent primary care in the country - helping practices, health centers and clinics deliver better care to their patients and thrive in value-based care.
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Working in close partnership with our AI/ML development team (the VP of Data and AI/ML and the VP of Product Management) you will be responsible for deploying ML and AI solutions by leveraging your expertise in machine learning, Airflow, Spark, Kubernetes and Sagemaker.
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Advanced knowledge of container technologies, including Kubernetes, EKS, ECS, Swarm, and Docker. AWS Cloud Engineer to build and deploy highly scalable, reliable, and secure cloud environments for customers using innovative automation tools and cutting-edge technologies.
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