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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. 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.
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Advanced 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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Description: Markon's partner company is seeking a Senior ServiceNow DevOps Engineer to join our program supporting a key IC government customer. Develop, deploy, update, and manage AWS cloud infrastructure platforms such as EC2, ELB, S3, EBS, RDS, and KMS.
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Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints.
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Active AWS Certified Solution Architect Professional or AWS Certified DevOps Engineer Professional certification. Knowledge of native commercial Cloud (AWS, Azure, GCP) services, PaaS and SaaS solutions.
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The Junior DevOps Engineer will create, deploy, monitor, scale and secure infrastructure and applications using automation tools like Terraform, Ansible, and Helm. This role will work with other engineers to evolve the company’s current cloud and infrastructure using Terraform and Kubernetes.
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Cloud certifications such as AWS Solutions Architect Associate/Professional, AWS SysOps Administrator, AWS Developer, or AWS DevOps Engineer. Collaborate with cross-functional teams to share knowledge and promote continuous learning related to DevSecOps practices.
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Keywords: Cloud Infrastructure, Cloud Operations, CloudOps, SaaS, Hosting, Public Cloud, Amazon Web Services, AWS, Automation, DevOps, SRE, CDK, TypeScript, Python, SQL. 2+ years building infrastructure-as-code solutions using AWS Cloud Development Kit (CDK) written with TypeScript or 2+ years writing TypeScript, Node.js or another JavaScript language.
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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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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Cloud Computing: Knowledge of cloud computing technologies such as Apache Spark, Azure Data Factory, Azure DevOps, Azure ML, Hadoop, Microsoft Azure, Databricks, AWS, and Google Cloud. The ideal candidate will provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission-critical decision-making for Compliance-Complaints.
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Desired - Microsoft® Certified: Azure Solutions Architect Expert or Azure DevOps Engineer Expert or Azure Developer Associate. So if there are front-end software engineers that are looking for a change and interested in becoming an Azure DevOps Engineer, we would consider their resumes as well.
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114 5th Ave (22114), United States of America, New York, New YorkLead Software Engineer, DevOps - Site Reliability Engineering Do you love building and pioneering in the technology space.
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Excellent hands-on knowledge in DevOps, CICD pipeline, Excellent knowledge on Docker, Kubernetes, NoSQL databases Knowledge of migrating WebLogic based application to AWS infrastructure Deliver solutions on-time with high bar of quality, and continuously improve software engineering practices.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
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learning aws devops jobs Title: devops engineer Company: Pri in Fairfax, VA
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