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Experience in Lambda CloudFormation or Terraform Apache Airflow, Astronomer Docker. Python, Spark, Hadoop, and Docker with an emphasis on good coding practices in a continuous integration context, model evaluation, and experimental design.
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Experience with Oracle, Spark, Hadoop, Athena, API, FastAPI, Flask, ReST. Knowledge of MLflow, Airflow, and Kubernetes. Develop Airflow DAGs to run training and scoring pipelines. Knowledge of ML frameworks like Scikitlearn, Tensorflow, and Keras.
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Good knowledge of AWS, SCM- (BitBucket or GIT), Build/Scripts ( Maven or Gradle or python or shell scripting) - Docker, Kubernetes, orchestration tools, Unix/Linux management and Troubleshooting - Configuration Management, Ansible, Terraform.
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Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. Experience with Cloud environments and knowledge of AWS Services, Service Catalog, SNS, SES.
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2+ years professional experience in container operations (Docker, OpenShift Enterprise, GKE, ECS) and orchestration (Docker Swarm, Kubernetes) Container platforms (Examples: OpenShift, Docker, Kubernetes, GKE.
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Support practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Nexus, Terraform, Git and Docker.
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8+ years hands-on expertise with virtualization and cloud platforms such as OpenStack, AWS, VMware, RHV, Docker, or OpenShift/OKD/Kubernetes. Oversee deployment, management and virtualization of cloud platforms such as OpenStack, AWS, VMware, RHV, Docker, or OpenShift / OKD/Kubernetes.
$96,400 - $168,700 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Your expertise in Python, shell scripts, SageMaker, IaaC (Ansible, Terraform), CI tools, Docker, Kubernetes and similar tools will drive efficiency and performance. Skilled with Python, Git, shell scripts, terminal (grep, sed, awk), Ansible, Docker, and Terraform.
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As an integral part of our team, you will not only need to tackle operational challenges at every layer of the system infrastructure, but also set up essential tools like Spark, Databricks, Snowflake, Kubernetes, and Kafka for data science infrastructure.
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Python, Django, Django Rest Framework, Javascript, React, Tailwind CSS, React Native (plus a bit of Objective-C and Java when it’s called for), AWS, Docker. Be familiar with some or all of the following:AWS Docker Terraform DevOps Security & Secure Coding Practices Software Architecture QA Automation Native iOS/Android development.
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Radian is helping to ensure the American dream of homeownership in even bigger and better ways with industry-leading mortgage insurance and a comprehensive suite of mortgage, risk, real estate, and title services.
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Advanced programming experience and big data experience within Python, Containerization (Docker and Kubernetes), GIT and GIT lifestyle, Databricks, Hive, Kafka, spark, PowerBI. NET, Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services.
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Security: Compliance, Information Assurance, Data Protection using industry-best practices and tooling (Crowdstrike Falcon, Tenable.io, Splunk, HashiCorp Vault signers, PKI and Certificate Management.
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Radian is a fintech servicing the mortgage and real estate services industry. Configure and maintain systems such as Kubernetes (Helm, Charts, ArgoCD), Kafka, Spark, Elastic, Bitbucket / GitLab, Nexus, and Jenkins.
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Knowledge of vulnerability management, patching, and related management tools (e.g. BigFix, RedHat Satellite Server, Nessus) 3+ years professional experience with cloud computing technology and its concepts (e.g. AWS, Azure, GCP) and virtualized (e.g. VMWare, OpenStack.
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