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