Summary
✨ AI‑Generated
As a New Graduate DevOps Engineer, help build and operate infrastructure supporting production AI systems. You will improve CI/CD and deployment workflows, automate infrastructure configuration, support cloud services and containers, strengthen monitoring and alerting, troubleshoot infrastructure issues, and improve developer productivity.
Highlights
New-graduate opportunity focused on deployment automation, observability, reliability, cloud infrastructure, and developer productivity, with hands-on exposure to production AI systems.
Description
Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes.
As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on improving deployment automation, observability, reliability, and developer productivity.
Why Join Us
• Build real, production AI agents used by real users
• High ownership and impact
• Work at the intersection of AI, agents, and product
• Shape how people experience AI-driven job search
Responsibilities
• Build and improve CI/CD pipelines and deployment workflows
• Automate infrastructure provisioning and environment configuration
• Support cloud services, containers, databases, and internal tooling
• Improve monitoring, logging, alerting, and operational visibility
• Troubleshoot deployment and infrastructure issues
• Participate in incident reviews and reliability improvements
• Document operational procedures and engineering standards
Qualification
Required
• Recent graduate in Computer Science, Information Technology, Engineering, or a related field
• Familiarity with Linux, Git, networking, and command-line tools
• Scripting experience with Python, Bash, or a similar language
• Understanding of cloud and software-delivery fundamentals
• Strong debugging and communication skills
Preferred
• Experience with AWS, GCP, or Azure
• Familiarity with Docker, Kubernetes, Terraform, or similar tools
• Exposure to GitHub Actions, Jenkins, or other CI/CD platforms
• Knowledge of monitoring and observability systems