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Python, Django, Flask, FastAPI, AWS, IAM, ECS, EKS, Docker, Kubernetes, Terraform, MLFlow, PostgreSQL, Cloud Engineer, Infrastructure. Implementing AWS services including IAM (Identity and Access Management), ECS (Elastic Container Service), and EKS (Elastic Kubernetes Service.
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Able to configure & support Container based technologies (Kubernetes, Docker, Rancher, etc). Container Technologies (Kubernetes, Rancher, etc) Able to configure & support Container based technologies (Kubernetes, Docker, Rancher, etc.
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Strong understanding of container orchestration (Nomad, Kubernetes) Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Cloud Software (Azure Kubernetes Services, Red Hat OpenShift, Amazon Web Services, Google Cloud Platform) Our current technology environment includes expansive hardware and software including legacy hardware, 3GL’s, SAP, bar codes, RFID, and embedded systems code in addition to newer adoption with tools/processes including robust deployment to the cloud, source code rewrites, CI/CD pipelines, multi-site deployment tools, Kubernetes, Java,.net, SQL. (This list is not exhaustive.
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Understanding and familiarity with one or more is a big plus - CI/CD, cloud devops, containers (Kubernetes/Docker, etc.) Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau.
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Modern application architecture (micro-services, containers), Kubernetes, Docker, and/or Lambda (preferred) 2-5+ years as a Solutions Engineer (preferred), Solutions Architect (preferred), Sales Engineer (preferred), Implementation Consultant, Support Engineer, Site Reliability Engineer, or a Software Developer with experience leading projects and/or working with customers.
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Expertise in workflow management tools like Airflow and container orchestration systems such as Kubernetes. We are in search of a highly skilled Senior Data Engineer proficient in PySpark using Databricks or AWS Glue or AWS EMR, and experienced with cloud-based databases such as Snowflake.
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We implement modern backend solutions that support microservices architecture with the following technologies: NET Core, Node.js, Java, SQL Server, PostgreSQL, MongoDB, Redis, RabbitMQ. For the web UI front-end development, we opt for React, or Angular, and for mobile development — Swift, Kotlin, Java. Most of the systems are designed for cloud infrastructures like AWS, Azure, GCP, and heavily rely on Docker, Kubernetes while modern CI/CD is made using GitLab CI or TeamCity.
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Hands on experience on Github, Azure DevOps, GitHub Actions, Kubernetes and Terraform. Azure Cloud, Azure DevOps, Github, GitHub Actions, Kubernetes, Terraform. Hands on experience on Github, Azure DevOps, GitHub Actions, Kubernetes and Terraform.
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Experienced with wide range of hardware and software development environments, including Microsoft, JAVA, J2EE, SOA, WS - (SOAP/REST/MICSROSERVICES), HADOOP ecosystem, Linux, RDBMS, NOSQL, ECOMMERCE, MOBILE, AWS, Docker (Swarm, Kubernetes), Elastic Search, MongoDB, Redis master/slave/sentinel, CI/CD pipeline using Jenkins, ansible, rundeck, Jfrog artifactory.
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Technical proficiency is required in Python (TensorFlow, PyTorch, Keras), Django, Flask, AWS, Docker, Kubernetes, Terraform, Github, MLFlow, and PostgreSQL. Technical proficiency is required in Python (TensorFlow, PyTorch, Keras), Django, Flask, AWS, Docker, Kubernetes, Terraform, Github, MLFlow, and PostgreSQL.
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Primary Skills:Snowflake, Airflow, Kubernetes, Python, dbt (data build tool) Primary Skills:Snowflake, Airflow, Kubernetes, Python, dbt (data build tool) Airflow or Astronomer. Our client, Peterson Technology Partners, is seeking the following.
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At least 5 years of experience with Containerized environments like Docker, Kubernetes, ECS, Fargate etc. 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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At least 1+ years of working with containerization and orchestration (Kubernetes/Openshift) and cloud providers like AWS, Azure, GCP or others. At least 1+ years of working with containerization and orchestration (Kubernetes/Openshift) and cloud providers like AWS, Azure, GCP or others.
$125,500 - $211,500 a yearExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
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Strong understanding of Container and Kubernetes environments, as well as experience with ODF (OpenShift Data Foundation). Design, install, and manage enterprise-level storage systems including, but not limited to, Block Storage, SAN switches, Object Storage, NetApp NAS, and NetBackup.
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kubernetes job in Chicago, IL
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