Junior Cloud Systems Engineer

This is a remote position.

Junior Cloud Systems Engineer - Remote Job, 1+ Year Experience

Annual Income: $62K - $76K

A valid work permit is necessary in the US

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 a 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.

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.