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Experience with CI/CD pipeline tools and technologies such as Bamboo, Jenkins, GitHub, GitHub Actions, Artifactory, Nexus, Docker, Kubernetes, Ansible, or Terraform, and Atlassian Suite (Jira, Confluence, Bitbucket.
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Use Infor OS, LPL, Landmark, FSM, Windows Server, Java, Java 1.8, Spring Boot, Spring Security, AWS, Docker, Kubernetes, React JS, Agile, Log4j, Maven, Gitlab, Junit, Mockito, Tomcat 9, Oracle, Jenkins, OAuth2, IntelliJ, Serverless, MSSQL, IBM WebSphere, DataHub, OAuth, STS, JIRA, BitBucket, and ServiceNow. Collaboration with architects and technical leads to design microservice architectures and define the overall system structure.
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Containerization: Utilize Docker and Kubernetes to streamline our containerization strategy, enhancing scalability and deployment efficiency. Strong background in container technologies such as Docker and Kubernetes.
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Knowledge in CICD, Jenkins, Docker/Kubernetes, Elastic Search, Splunk/ELK, and Git; Used various data formats that include XML, JSON, and Parquet. Experience in composing scalable solutions using AWS services like ECS, S3, EMR, Athena, Glue, ECS, and Lambda.
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Work on debugging and resolving technical issues specific within various cloud environments like Amazon Web Services, Google Cloud Platform, Microsoft Azure, Docker, and Kubernetes. Extensive experience in a customer facing role with as a Customer Success Engineer or Technical Account Engineer with a background as DevOps Engineer, SRE, Cloud Infrastructure Architect or Solutions Architect.
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Hands-on experience in Maven/Gradle, Version control (Git), Kubernetes, Docker, CI/CD and any cloud platform (Azure preferred) Experience in CI/CD DevOps - Jenkins/Docker/Ansible/Maven/Ant.
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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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Experience with GitHub, Jenkins, Terraform, Docker, Artifactory, Sonar, LaunchDarkly, and/or equivalent platforms. Experience with GitHub, Jenkins, Terraform, Docker, Artifactory, Sonar, LaunchDarkly, and/or equivalent platforms.
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Experience with orchestration and containerization tools (e.g. Singularity, Docker, Airflow, Prefect, etc.) TDD, CI/CD, Linux, Trading, HPC, SLURM, Orchestration, Containerization, Financial, Programmer Analyst, Programming, Software Developer, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting.
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The ideal candidate will be responsible for designing, developing, and enhancing our python data science tools and frameworks. Keywords: Chicago IL Jobs, Quantitative Researcher, Python, Machine Learning, C.
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Looking for experience with the following: DevOps, CI/CD, Docker, Kubernetes, AWS Sagemaker, GenerativeAI (GenAI - ChatGPT), Large Language Models (LLM), Natural Language Processing (NLP), Neural Network (NN, CNN), Deep Learning.
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Experience with containerization (Docker), DevOps pipeline, Continuous Integration/Continuous Deployment and code management using Git and Jenkins. Hands on experience Dell Boomi Integration / Boomi Flow or other integration platform.
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Experience in administering, managing and troubleshooting application stacks built on Linux/Unix, AWS, Lambda, EC2, ECS, Serverless Framework, Docker. Experience working with various DevOps and Release Management technologies (such as Jenkins, Jira, GIT, AWS CodePipeline, Docker.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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docker job in Dallas, TX
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