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Use modern administration tools like Docker, Terraform, AWS CloudFormation/CDK to manage and deploy containers and virtual machines. Expertise with Docker and other container technology. Expert experience with CI/CD tools, such as Jenkins, Artifactory, Git etc.
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Familiarity with open-source Java stack development (Java, Gradle, Git, Jenkins, JUnit, Tomcat) Proficiency with JavaScript, React, CSS abstraction layers (e.g. SASS or JSS) Hands-on experience with cloud technology stack (AWS, GCP or Azure.
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Expertise in the broad set of data-related technologies, including Data Storage (AWS S3), Cloud Compute (AWS EC2), Highly Performant Data Warehouses (AWS Redshift), Data Engineering and Analytics (Databricks, Spark), Orchestration (Airflow, Jenkins), and Reporting / Data Visualization Tools (Tableau.
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Deploy the applications to Lowes hosted data centers or the cloud using technologies and languages including but not limited to: Docker, Kubernetes, Google Cloud Platform. Experience with development tools like Eclipse, Git, Gradle, Sonar, Jenkins, Jira, Artifactory etc.
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The Software Integration Engineer shall develop software Tools and Services in a PaaS Linux environment supporting an ‘on-prem’ cloud offering with open source software using Kubernetes, Docker, Rook and other cutting edge software.
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Experience with AWS services: EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, and design patterns (Containers, Serverless, Docker, etc.) Work with the Agile Team, Product Owner, Release Train Engineer, and Scrum master to plan and execute work.
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Experience with containerization technologies such as Docker. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. Experience with IaC (Infrastructure as Code) principles and automation tools such as SaltStack , Puppet, and Ansible.
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Familiarity with CICD, DevOps tools like Jenkins, Kubernetes, Google Cloud (GCP), AWS, and similar cloud technologies. Competency in React, Redux, Apollo GraphQL, SASS, Webpack, Cypress, Jest, Enzyme, etc.
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Experience in CICD and DevOps knowledge; Jenkins, Kubernetes, Google Cloud (GCP), Amazon Web Services (AWS) and other cloud technologies. React, Redux, Redux-Sagas, Apollo GraphQL, SASS, Webpack, Flow, Cypress, Jest, Enzyme.
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Our team employs a full-stack approach using Nodejs, Typescript, AWS cloud services, Docker, Github, testing frameworks like Jest and Mocha, and specializes in HbbTV integration. In addition you take the reins in crafting cutting-edge technology for swapping TV advertisements, facilitating real-time TV show voting, and pioneering data-driven advertisement products.
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Current hands-on development experience with open-source technologies: Memcached, Spring, Maven, Git, Jenkins, JUnit, Tomcat, Linux, MySQL. Experience with Immutable Infrastructure and Infrastructure as Code patterns and technologies: Docker, Ansible, Packer, Vagrant, AWS SDK for Java.
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Technologies you may use include Azure services such as Azure Machine Learning, Azure AI Search as well as python, micro services, docker, CI/CD, Elastic Search, SQL and NoSQL. Machine Learning Engineer - Generative AI page is loaded.
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Proficiency in Docker, containers, Kubernetes and Cl / CD. Minimum 3 years’ relevant working experience in administration and support of Microsoft Azure, AWS, IT systems & infrastructure (VMware, AD, Windows or Linux servers.
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Hands on experience with Docker/Kubernetes will be an added advantage. Experience in AWS Security Groups, Routing Tables, Subnets, EBS, Cloud Front, S3, IAM Roles and Policies, Cloudformation, Cloud Watch, SNS, SQS, Elastic Load Balancers, SSL Certs, and Auto Scaling Groups.
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Proficiency in test automation tools, frameworks, and methodologies, such as Selenium, TestNG, JUnit, Cucumber, Jenkins, etc. Ferguson is North America’s leading value-added distributor across residential, non-residential, new construction and repair, maintenance, and improvement (RMI) end markets.
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