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Experience with cloud compute (i.e. GCP, AWS), schedulers (i.e. Airflow), and containerization (Docker) are nice to have. Experience with cloud compute (i.e. GCP, AWS), schedulers (i.e. Airflow), and containerization (Docker) are nice to have.
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Support the integration and deployment of back-end and front-end microservices by using best practices and automation tools (e.g., Docker, Kubernetes, Helm) Familiarity with container technologies for microservices (e.g. Docker.
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Develop using industry-standard tools including GitHub, Google Cloud, Go, React, Docker, and Terraform to name a few. C#, Go, Swift, Kotlin, Python, or Java/TypeScript. Develop using industry-standard tools including GitHub, Google Cloud, Go, React, Docker, and Terraform to name a few.
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Exposure to container and container environments, such as Docker / Kubernetes. Experience with image processing, OpenCV, deep learning. Web development experience (React, JavaScript, TypeScript.
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Familiarity with CI/CD DevOps and orchestration tools like Azure DevOps, Airflow, Kubernetes, and Docker is a bonus. Familiarity with CI/CD DevOps and orchestration tools like Azure DevOps, Airflow, Kubernetes, and Docker is a bonus.
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Experience with Cloud Native technologies, such as Kubernetes, Docker, and Terraform. Proven experience in network and Cloud security architecture, design and best practices to support a globally distributed environment across multiple platforms such as AWS, Azure, and GCP.
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Knowledge in DevOps processes, continuous integration and delivery pipelines (Maven, Jenkins, Stash, Ansible, Docker) Experience in deploying container managed services using docker, Kubernetes is a plus.
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Experience with container technologies such as Docker or Kubernetes. Experience with APM tools such as DataDog/Dynatrace/ AppDynamics/New Relic/Full-StoryExperience in running automated performance tests via CI/CD pipelines (on platforms like GitHub etc.
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E.g. beam, docker, kubernetes, GCP, AWS. e.g. beam, docker, kubernetes, GCP, AWS. Interface meteorological data to existing or new hydrological, energy, and agricultural models. e.g. ERA, GFS, SEAS5, ISD, MERRA.
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Experience in DevOps set up on cloud - AWS Code Pipeline, CI-CD Pipeline, Docker, Kubernetes /EKS and Monitoring tools, SRE (Site-reliability Engineering). Experience in DevOps set up on cloud - AWS Code Pipeline, CI-CD Pipeline, Docker, Kubernetes /EKS and Monitoring tools, SRE (Site-reliability Engineering.
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Hands-on experience with Spring, REST, MQ, Kafka, Docker, Kubernetes, React and JavaScript. Experience with Docker and Kubernetes. Experience with programming languages, tools/frameworks, databases, and middleware such as Java, Spring, Node JS, React, Javascript, Oracle, PL/SQL, SQL, MySQL, NoSQL Databases, MQ, and Kafka.
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Experience with containerization technologies (Docker, Kubernetes). Experience with cloud computing platforms (IaC, Microsoft Azure, AWS). General knowledge of Cloud Provider Services such as AWS, GCP, Azure, or PCF.
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5+ years experience with Kubernetes, Docker, Longhorn, and on Azure or AWS. SAIC is seeking a DevSecOps Engineer to design, develop, document, test, and debug Infrastructure as Code (IaC) deployments in Azure and AWS environments.
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Experience with containerization technologies (e.g., Docker, Kubernetes) and DevOps practices is a plus. AWS Cloud Management: Provision and manage AWS resources (e.g., EC2 instances, VPCs, S3 buckets, RDS databases) using the AWS Management Console, CLI, or SDKs. Configure security groups, IAM roles, and other security mechanisms.
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You are fluent with platforms like AWS, Snowflake, Dagster, and dbt at your fingertips, and deploying via tools such as Kubernetes, Docker, and Terraform being second nature, you are primed to spearhead our pursuit of data excellence.
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docker job in Medford, MA
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