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neurohire.ai

Cloud Engineer

  • Seen live on neurohire.ai's site today
  • Mid level
  • Remote
Pay
Not stated
Location
United States
Open for
4+ days
First seen
Oct 31, 2026

Posting record

No flags

Open 4+ days

The posting's record, oldest first
  1. neurohire.ai's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking neurohire.ai, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What it asks of you

0–1 years of experience
“0–1 year of experience in Cloud Engineering, Cloud Computing, DevOps, Systems Administration, or a related technical role.” (quoted from the posting)
Master's degree asked for
“Master's degree in Computer Science, Information Technology, Computer Engineering, Software Engineering, or a related technical field .” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

NeuroHire is seeking a motivated and technically curious Cloud Engineer to join our team. In this role, you will support the development, deployment, monitoring, and maintenance of cloud-based infrastructure and applications. You will collaborate with technical team members to help build reliable, scalable, secure, and efficient cloud environments.

This position is ideal for an early-career professional who is passionate about cloud computing, automation, infrastructure management, and modern technology. You will have the opportunity to apply your technical knowledge, troubleshoot infrastructure challenges, and develop practical skills across cloud platforms and deployment technologies.

Key Responsibilities

  • Assist in configuring, deploying, and maintaining cloud infrastructure and services.
  • Support cloud environments using platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) .
  • Monitor cloud resources, system performance, availability, and resource utilization.
  • Assist with infrastructure provisioning, configuration management, and routine maintenance.
  • Support the deployment and management of cloud-hosted applications and services.
  • Work with Linux or Windows operating systems to troubleshoot technical issues.
  • Assist in implementing cloud security best practices, access controls, and resource permissions.
  • Use scripting languages such as Python, Bash, or PowerShell to automate routine operational tasks.
  • Support containerization and deployment workflows using Docker and related tools.
  • Collaborate with software development and operations teams to improve deployment reliability.
  • Assist with troubleshooting cloud infrastructure, connectivity, performance, and configuration issues.
  • Maintain technical documentation for cloud resources, deployment procedures, and operational processes.
  • Learn and apply Infrastructure as Code (IaC) tools and modern cloud engineering practices.

Requirements

  • Master's degree in Computer Science, Information Technology, Computer Engineering, Software Engineering, or a related technical field .
  • 0–1 year of experience in Cloud Engineering, Cloud Computing, DevOps, Systems Administration, or a related technical role.
  • Strong understanding of cloud computing fundamentals, including compute, storage, networking, and virtualization.
  • Familiarity with at least one cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP) .
  • Basic knowledge of Linux or Windows operating systems and command-line tools.
  • Familiarity with networking fundamentals, including DNS, IP addressing, HTTP/HTTPS, and firewalls.
  • Basic scripting knowledge in Python, Bash, or PowerShell.
  • Understanding of identity and access management (IAM), permissions, and cloud security fundamentals.
  • Familiarity with Git and GitHub for version control.
  • Basic understanding of CI/CD concepts and software deployment workflows.
  • Familiarity with Docker, containers, or Kubernetes is an advantage.
  • Awareness of Infrastructure as Code tools such as Terraform or AWS CloudFormation is a plus.
  • Strong troubleshooting, analytical thinking, and problem-solving abilities.
  • Ability to learn new technologies and adapt to evolving technical requirements.
  • Strong communication, teamwork, and collaboration skills.

Benefits

  • Opportunity to contribute to an innovative, AI-powered technology company.
  • Hands-on exposure to cloud infrastructure and modern deployment technologies.
  • Opportunities to develop practical skills in cloud computing, automation, and infrastructure management.
  • Collaborative environment that encourages continuous learning and knowledge sharing.
  • Opportunities for professional development and technical growth.
  • Exposure to cloud platforms, infrastructure monitoring, and deployment best practices.
  • Opportunity to contribute to improving system reliability, scalability, and operational efficiency.

If you are passionate about cloud computing, infrastructure automation, and building reliable technology environments, we encourage you to apply and begin your cloud engineering career with NeuroHire .

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