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DevOps Engineer

Neurohire.ai
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About NeuroHire

NeuroHire is a Texas-based AI-powered SaaS platform transforming the way organizations discover, evaluate, and hire talent. As we continue to scale our cloud infrastructure and engineering operations, we're looking for an enthusiastic DevOps Engineer to help build, automate, and maintain reliable cloud environments that power our platform.

This is an excellent opportunity for recent graduates or early-career professionals who are passionate about cloud technologies, automation, and modern software delivery practices.

Role Overview

As a DevOps Engineer, you'll work closely with software developers and cloud engineers to support application deployments, automate infrastructure, and ensure the reliability and security of our platform.

You'll gain hands-on experience with cloud platforms, CI/CD pipelines, containerization, and infrastructure automation while contributing to the development of a modern AI-driven SaaS product.

What You'll Do

  • Support the deployment, monitoring, and maintenance of cloud-based applications
  • Assist in building and maintaining CI/CD pipelines for automated software delivery
  • Monitor system performance, application health, and cloud infrastructure
  • Help troubleshoot production issues and participate in incident resolution
  • Work with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP)
  • Assist in managing Docker containers and Kubernetes environments
  • Support infrastructure automation using Infrastructure as Code (IaC) tools
  • Collaborate with software engineering teams to improve deployment processes
  • Maintain technical documentation, deployment procedures, and operational runbooks
  • Follow security, reliability, and DevOps best practices

What We're Looking For

  • Master's degree in Computer Science, Information Technology, Software Engineering, or a related field
  • 0–1 year of experience in DevOps, Cloud Engineering, System Administration, or related technical roles (internships and academic projects are welcome)
  • Basic knowledge of Linux/Unix operating systems
  • Familiarity with AWS, Azure, or Google Cloud Platform (GCP)
  • Understanding of Git, version control, and software development workflows
  • Basic knowledge of Docker and containerization concepts
  • Familiarity with CI/CD tools such as GitHub Actions, Jenkins, GitLab CI, or Azure DevOps
  • Basic understanding of networking, cloud infrastructure, and system monitoring
  • Strong analytical and troubleshooting skills
  • Excellent communication and willingness to learn new technologies

Nice to Have

  • Academic or internship experience with Kubernetes
  • Exposure to Terraform, Ansible, or CloudFormation
  • Basic scripting knowledge in Python, Bash, or PowerShell
  • Familiarity with monitoring tools such as Prometheus, Grafana, CloudWatch, or Azure Monitor
  • Knowledge of Agile development methodologies
  • AWS, Azure, or GCP certifications are a plus