Cloud Engineer

neurohire.ai; Oregon; Hybrid; USD 70,000 - 100,000; Full time

Benefits offered by this job

Hands-on cloud tech

Professional growth

Collaborative culture

Learning opportunities

Deployment exposure

Job summary

NeuroHire is seeking a motivated Cloud Engineer to join our team to support the development, deployment, monitoring, and maintenance of cloud-based infrastructure and applications. You will collaborate with technical teams to build reliable, scalable, secure, and efficient cloud environments and gain hands-on experience across cloud platforms.

The role is ideal for an early-career professional passionate about cloud computing, automation, and infrastructure management, with opportunities to

Qualifications

• Master's degree in a technical field.
• 0–1 year of cloud engineering or related experience.
• Fundamentals of compute, storage, networking, and virtualization.
• Experience with at least one cloud platform: AWS, Azure, or GCP.
• Basic Linux or Windows OS and CLI familiarity.
• Understanding of DNS, IP, HTTP/HTTPS, and firewalls.
• Basic scripting in Python, Bash, or PowerShell.
• Knowledge of IAM, permissions, and cloud security fundamentals.
• Familiarity with Git and GitHub.
• Basic CI/CD concepts and deployment workflows.
• Experience with Docker, containers, or Kubernetes is a plus.
• Awareness of IaC tools like Terraform or CloudFormation is a plus.
• Strong troubleshooting, analytical thinking, and problem-solving.
• Ability to learn new technologies and adapt.
• Strong communication, teamwork, and collaboration skills.

Responsibilities

• Assist in configuring, deploying, and maintaining cloud infrastructure.
• Support cloud environments using AWS, Azure, or GCP.
• Monitor resources, performance, availability, and utilization.
• Assist provisioning, configuration management, and routine maintenance.
• Support deployment and management of cloud-hosted apps and services.
• Troubleshoot issues across Linux or Windows.
• Implement cloud security best practices, IAM controls, and permissions.
• Use Python, Bash, or PowerShell to automate tasks.
• Support containerization and deployments with Docker and related tools.
• Collaborate with development and operations to improve reliability.
• Troubleshoot cloud infrastructure, connectivity, performance issues.
• Maintain technical docs for cloud resources and procedures.
• Learn and apply Infrastructure as Code (IaC) practices.

Skills

Troubleshooting

Documentation

Teamwork

Communication skills

Automation mindset

Education

Master's degree in Computer Science, Information Technology, Computer Engineering, Software Engineering, or a related technical field

Tools

AWS

Azure

GCP

Linux/Windows

Git/GitHub

CI/CD

Docker

Kubernetes

Terraform

CloudFormation

Job description

NeuroHire is seeking a motivated and technically curious 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.

Cloud Engineer

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.