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. The New Grad Site Reliability Engineer will help keep the AI-powered platform reliable, scalable, and observable by automating operations and improving production reliability.

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

• Help define and monitor service-level indicators and objectives
• Build dashboards, alerts, and reliability reporting
• Automate operational tasks and reduce manual intervention
• Investigate incidents, performance issues, and system failures
• Improve service scalability, resilience, and recovery procedures
• Partner with engineers on production readiness and safe releases
• Document runbooks and contribute to incident reviews Qualification

Required

• Recent graduate in Computer Science, Engineering, Information Systems, or a related field
• Programming or scripting experience with Python, Go, Bash, or a similar language
• Familiarity with Linux, networking, databases, and distributed-system fundamentals
• Strong analytical and debugging skills
• Ability to communicate clearly in a remote environment

Preferred

• Experience with cloud platforms, containers, or Kubernetes
• Familiarity with metrics, logs, traces, and observability tools
• Understanding of SRE concepts such as SLIs, SLOs, and error budgets
• Previous internship or systems-focused project experience