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Data Engineering: Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other relevant technologies. The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault.
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Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Familiarity with working in cloud-based environments like Amazon Web Services (AWS), Google Cloud, or Microsoft Azure and their machine learning tools. We define, architect, design and prototype creative ways to integrate and fuse all-source intelligence and new sources of data to empower analysts and inform the programmatic and technical direction of new and existing programs.
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As a DevOps Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Senior Software Engineer, DevOps. Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
$15Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5 years of experience with build, source code management, and testing technologies (Eclipse, Maven, Nexus Artifact Repository, GitLab, Azure DevOps, Jenkins, and Ansible) 7 years of experience with build, source code management, and testing technologies (Eclipse, Maven, Nexus Artifact Repository, GitLab, Azure DevOps, Jenkins, and Ansible.
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AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer) are a plus. Design, deploy, and manage AWS cloud environments according to best practices and client requirements.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with Cloud Enterprise, authorizing cloud systems, and Cloud services, including AWS, Azure, or GCP.
$65,300 - $149,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a DevOps Site Reliability Engineer, you will use your development experience to write infrastructure as code and deploy using industry best practices like GitOps and CI/CD in a hybrid cloud environment.
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StackArmor provides FedRAMP, FISMA/RMF, and CMMC/DFARS compliance acceleration services on Amazon Web Services (AWS). – Experience with one or more DevOps, Orchestration/Configuration Management and Continuous Integration technology (e.g. Chef, Puppet, Jenkins, Ansible.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design.
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This role is part of the team focused on deploying new and emerging capabilities to out our next generation cloud-based HR, Payroll, analytics, and machine learning platform. Strong understanding and experience of Oracle HCM Cloud configuration and management tools like Page Composer, Alerts Composer, HCM Experience design studio, ESS jobs, Checklists and Journeys and Document Records.
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Strong knowledge of Azure DevOps & CI/CD pipelines and its setup for Automated Build and Release Management. Experience using agile software development methodologies (i.e. Scrum & Azure DevOps.
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The Senior Cloud Solution Architect/Technical Lead will play a pivotal role the cloud migration journey for Federal Health customers, and will design, implement, and optimize cloud-based solutions on the AWS, Azure, and GCP platforms, ensuring a scalable, secure, and high-performing infrastructure that aligns with end user research and operational needs.
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As a Kubernetes platform engineer, you know how to build resilient platforms that meets customer needs and takes advantage of the power of containerization both in the cloud and on premises.
$81,800 - $186,000 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning aws devops design build jobs Title: devops engineer in Mclean, VA
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