This is a remote position.
Junior Cloud Systems Engineer - Remote Job, 1+ Year Experience
Annual Income: $57K - $77K
About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.
Description:
The Cloud Systems Engineer will be a part of a growing team focused on infrastructure services. The Individual must have experience working with cloud technologies including Amazon Web Services (AWS).
Responsibilities:
Supporting Microsoft Windows Server and Active Directory
Designs/implements/migrates/supports virtual Windows environments
Creating PowerShell/Python scripts to support further environmental automation for our customers
Create and implement AWS environments
Building VP C's
Building EC2 instances
Creating and managing Storage Gateways
Creating Amazon FSx and data sync tasks for file server migrations
Working with AWS Systems Manager
Maintaining AWS Consoles for customer environments
Understanding of security solutions (McAfee / Symantec, AV, SIEM, etc.)
Designing, implementing, and performing cloud migrations for the infrastructure engineering organization. The position demands direct interaction with cross-functional teams and both internal and external customers.
Migrating customer environments to AWS utilizing Cloud Endure or other
Creating Infrastructure as Code via CloudFormation or Terraform
Engage with engineering teams to support existing customer environments
Providing support to our teams for technology transformation and refresh initiatives
Partners with suppliers, architects, engineers, developers, and both internal and external customers to provide expert guidance to project stakeholders on upcoming and innovative technologies
Provides specific technical expertise to solve complex problems on project-specific activities.
Qualifications & Skills:
Excellent MS Windows Server 2016, 2012, and 2008 troubleshooting ability
Experience with Linux
Expert knowledge of Active Directory
Experience with AWS / Azure
Experience in building highly available environments
Experience with VMware virtualization technologies
Experience and knowledge of the Cloud including Infrastructure as a Service, and public and private cloud solutions.
Database migration experience
Hands-on experience with server and operating system technologies
Hands-on experience with virtualization technologies
Data Center/Server Operational Components (Monitoring, Management, etc.).
Demonstrated ability to be a team player in a fast-paced environment
Attention to detail, results driven with focus on high quality and excellent customer service as well as the ability to multi-task.
Ability to keep calm during a period of crisis and to provide the leadership and direction required to resolve the issue. Can perform independently with minimal supervision and make decisions in ambiguity.
Strong emphasis on following ITIL standards and maintaining regulatory compliance.
Preferred Certifications
Experience with Linux
Experience with storage platforms
Experience with Veeam Backup solution
Experience with clustering and certification with hypervisor technologies
Education:
Bachelor's Degree or 1 year of extensive IT experience in multiple disciplines
Certifications in AWS
Cisco Certified Network Professional (CCNP) Preferred
VMware Certified Professional (VCP) Preferred
Microsoft Certified Solutions Expert (MCSE) Preferred
Why Patterned Learning LLC?
Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.
The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.
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