Summary
Start your DevOps career by helping build and operate infrastructure behind an AI-powered software platform. You will improve CI/CD and deployment workflows, automate infrastructure provisioning, support cloud and container environments, strengthen monitoring and observability, and troubleshoot operational issues while working with a high-ownership engineering team.
Highlights
New-graduate opportunity with high ownership and direct exposure to production AI infrastructure, deployment automation, observability, reliability, and developer productivity.
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
