| Infrastructure & Cloud_only at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1844195&uid= From: Himanshu Pandey, WISE EQUATION SOLUTION INC [email protected] Reply to: [email protected] Hello Greeting From WISE Q I am Himanshu Pandey, a Sr Technical Recruiter from WISE Q , a leading provider of US IT staffing. After carefully reviewing your profile, I believe that your skills align perfectly with my client's expectations for the current requirements. If you are open to exploring new opportunities in the USA, please respond to this email or feel free to contact me at Direct 512 957 8275. Job Title: Infrastructure & Cloud Engineer Location: Remote Position will be a member of the Datacenter Engineering Group within Enterprise IT with an initial focus on private cloud service delivery or the delivery of infrastructure solutions running across both public (AWS, P and Azure) and private cloud environments. In addition the uniqueness of this roll I am looking for a candidate that will be responsible for developing data pipeline architectures (including infrastructure) which includes extracting, aggregating, and analyzing infrastructure performance data alongside business data to forecast infrastructure capacity/trending/risk needs. This role requires a blend of data pipeline/engineer and engineering skills to create simulations and predictive models. In addition to the technical competencies outlined in the job description, the ideal candidate will have experience with at least a subset of the following: This roll will require a blend of engineering skills with a strong background in data analysis, forecasting and data pipeline infrastructure automation of infrastructure delivery with configuration orchestration and management solutions (e.g. Ansible/AAP and Terraform) understanding of coding practices, source code control (Gitlab) and developing in a preferred scripting language (e.g. Python, UNIX Scripting) strong experience with Linux and Windows systems engineering principles strong understanding of application resiliency and data resiliency across multiple platforms. Strong hands on experience in data observability tools such as Datadog experience in data pipeline engineering and architecture which can focus on extracting, aggregating and analyzing infrastructure performance data alongside business data to forecast infrastructure capacity needs. This engineer should be able to take a data analysis problem and produce recommendations, architecture, and create a pipeline to produce a result to the problem. Collaboration and Communication: Work closely with cross-functional teams to understand business requirements and drivers. Communicate findings and recommendations to stakeholders through reports and presentations. Create and maintain comprehensive documentation for data processes and models. Ensure compliance with company policies, industry standards, and regulatory requirements. Thanks & Regards Himanshu Pandey Sr. Technical Recruiter. Desk-512 957 8275 Ext-187 Email: [email protected] Keywords: access management information technology Infrastructure & Cloud_only [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1844195&uid= |
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| 11:15 PM 15-Oct-24 |