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 Current 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

📌 Site Reliability Engineer, New Grad (Canada)
🏢 Jobright.ai
📍 Canada