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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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5+ years of hands-on experience with CyberArk (CyberArk Cloud Platform, EPM, LCD, and CyberArk SaaS Cloud Base) The Senior CyberArk Engineer/SME/Scripter implements, coordinates, migrates, and onboards all aspects and phases of the CyberArk's Privileged Access Management (PAM) on-prem and privilege cloud solution rollout, and CyberArk operational tasks.
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Proficiency in cloud computing platforms such as AWS, Azure, or GCP, including infrastructure as code (IaC) tools like Terraform. This Site Reliability Engineer position is a technical role within the Technical and Cloud Services group that helps ensure the reliability, scalability, and performance of our infrastructure while driving automation and efficiency in our development process.
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JOB DESCRIPTION As a Cloud Solutions Lead Software Engineer at JPMorgan Chase within the Infrastructure Production Management, you will play a crucial role in the Public Cloud Enablement Team. Your responsibilities will include making strategic decisions on Public Cloud on-boarding and migration that significantly affect our global customers, clients, and businesses.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake, AWS. 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Arthur Lawrence is urgently looking for Python- Infrastructure Development for a client in Carrollton, TX. Kindly review the job requirements below. Proficient in tools such as Jenkins, Git/ Bitbucket, Sonar, Black Duck, Lean FT, UFT, HP ALMCompetent with Agile, Lean and Continuous Delivery best practiceWorking proficiency in enterprise developmental toolsets like Jenkins, Git/ Bitbucket, Sonar, Black Duck, LeanFT, UFT, HP ALM, Puppet, Splunk, Apigee etc.
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Experience with cloud platforms such as Google Cloud Platform (GCP), including services like BigQuery, Cloud Storage, and AI Platform. Experience with distributed computing frameworks such as Apache Spark.
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Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
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Cloud infrastructure deployment using Terraform and Cloud Formation. Proficient knowledge in developing cloud centric solutions using AWS Cloud:Serverless web applicationAPI developmentServerless batch processing (ECS, Fargate)RDS (Aurora/PostgreSQL)NoSQL (MongoDB or DynamoDB)U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.
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CISSP (Certified Information Systems Security Professional), Certified Information Security Manager (CISM), CCSP (Certified Cloud Security Professional), Cloud Architect certification, Certified Information Systems Auditor (CISA), former PCI Qualified Security Assessor (QSA) or other similar certifications.
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Proven knowledge of environmental compliance requirements as they relate to public and private infrastructure (transportation, renewable energy, and oil/gas/energy) projects. Working knowledge of agencies including BIA, BLM, USACE, USFWS, State DNR/DEP/DEQ/DOT, FERC, FHWA, FAA.
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Knowledge of SYSPLEX and CICSPLEX design, architecture, support Education & Work Experience Degree BS BA or Equivalent Work Experience Infrastructure Engineering Title Infrastructure Engineer Location Plano TX Client Industry Financial.
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This position involves technical leadership for a team that develops FPGA solutions for Vehicle Management Systems (VMS), Guidance and Control Units, Computing and Network Infrastructure, and Electrical Power Systems products.
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Preferably to have knowledge AWS cloud infrastructure and security. Implement infrastructure-as-code (IaC) practices using tools like AWS CloudFormation or Terraform to define and manage Kubernetes infrastructure.
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Working with cloud-based technologies, particularly Google Cloud Platform (GCP), and leveraging its native tools for data integration. As an ETL/ELT Pipeline Engineer, you will be responsible for designing and building efficient data integration pipelines using GCP native tools or open-source technologies such as Python and PySpark.
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cloud computing infrastructure jobs in Addison, TX
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