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Experience in using AWS native DevOps tools, including AWS CodePipiline, AWS CodeCommit and AWS Cloud Development Kit (CDK) to build and automate application and infrastructure deployment.
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Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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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.
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Cloudera Solr and HBase experience is a MUST.Experience with Ab Initio, EMR, S3, Dynamo DB, Mongo DB, ProgreSQL, RDS, DB2 is a Plus. DevOps (CI/CD Pipeline) is a Plus. Experience with Advance knowledge of UNIX and SQLExperience with manage metadata hub-MDH, Operational Console and troubleshoot environmental issues which affect these componentsRepresents team in all architectural and design discussions.
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Css, db2, etl, hadoop, information technology, information technology infrastructure library, machine learning, shell, website. Candidate will provide day-to-day management and oversight of DOT service delivery in areas such as SaaS/PaaS Implementation (notably Salesforce), Application/Software Development, Data Analytics and Visualization, Cloud Enablement, DevOps, Agile Transformation, Digital Modernization and Cybersecurity.
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Relevant certifications (e.g., AWS Certified DevOps Engineer, Google Professional Cloud DevOps Engineer) The DevOps Manager will be responsible for developing and managing infrastructure as code (IaC) using tools like Terraform and CloudFormation.
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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.
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Experience and proficiency implementing frontend and backend services for cloud-native software products and solutions such as VueJS, JavaScript, Python, Django, Flask, Docker, EKS/Kubernetes, AWS Step Functions, EventBridge, AWS Lambda, AWS API Gateway, Elasticsearch, Caching frameworks, Redis, Memcached, the Amazon Relational Database Service (RDS) for Postgres, and/or the MongoDB NoSQL database service.
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Each of MITRE’s R&D centers utilize our skills and expertise to address today’s cross-cutting technology challenges in domains like agile development, mobile computing, cloud engineering, cybersecurity, DevOps, human-machine teaming, user experience, virtual reality, robotics, artificial intelligence, decentralization and more.
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Experience with tools and programming languages like SQL, Amazon Redshift, Jupyter Notebook, Apache Spark, R, AWS Glue, AWS Athena, Python, or Amazon QuickSight. We are currently in search of Automation Engineers for AWS Trust & Safety to play a pivotal role in protecting our customers and ensuring the integrity of our services in the face of those who may seek to exploit or misuse them.
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Experience with Docker, AWS Admin Red Hat/OpenShift v4. The ideal candidate will have a strong background in application development but also possess expertise in implementing and managing DevOps processes, including containerized development, CICD pipeline deployment, API gateways, Infrastructure as Code, platform familiarity, and knowledge of tools like Golang.
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Extensive experience with AWS/Azure CLI, shell languages (e.g., Bash, PowerShell), and formal programming languages (e.g., Python, Golang, Rust). Cloud Certification (e.g., AWS SysOps Administrator, Azure Administrator.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud, DevOps, Open Source technologies (AWS, VMware, Docker, NiFi, Kibana, Grafana, CDK – AWS Cloud Development Kit, Terraform) NextGen software engineers will be developing and modernizing NGA systems using industry best practices, standards and agile development processes; utilizing open source software solutions, cutting-edge technologies, with DevOps tools and techniques with development on unclassified networks and then promoted to other networks.
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Marks/tattoos appropriate body anatomy for daily re-positioning on linear accelerator; Documents or captures patient measurements and machine treatment parameters for dosimetry planning and calculations; Acquires Computed Tomography machine data sets for patient positioning, contours and set-up parameters.
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Solutions Architecture certification, such as AWS CSA or Azure Solutions Architect), Cloud Machine Learning certification, such as AWS Machine Learning, Azure Data Scientist Associate, or Databricks Certified Machine Learning Professional.
$285,000 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning aws devops jobs Title: engineer Company: Pri in Vienna, VA
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