# Site Reliability Engineer

**Company**: SpaceXAI
**Location**: Memphis, TN
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/xai/jobs/5229153007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_cab975c5-078

## Description

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. The team is small, highly motivated, and focused on engineering excellence.

As a Site Reliability Engineer focused on campus reliability, you will design what the campus watches and trusts, technically command cross-discipline SEVs, and build the guardrails that make the next incident smaller. You are the connective tissue across compute, network, storage, power, and cooling.

## Responsibilities

- Own monitoring architecture and signal quality: what we alert on, suppress, and trust. Consume NOC noise-disposition feedback to drive suppression and redesign.

- Provide SEV command support: technical incident leadership, bridge coordination with the NOC, and timeline and severity hygiene.

- Run blameless postmortems and drive corrective actions to closed, not filed.

- Lead cross-functional reliability projects spanning compute, network, storage, and facility signal boundaries.

- Build and maintain playbooks, run game days, and keep cross-discipline dependency maps current.

- Define error budgets and availability objectives at campus and service boundaries as adopted by the business.

- Participate in on-call rotations and incident response for SEV-class events in the Memphis / Southaven data center campus.

## Basic Qualifications

- Bachelor's degree in Systems Engineering, Computer Science, Electrical Engineering, or a related field (or equivalent experience).

- 5+ years of experience in site reliability, systems engineering, or large-scale production operations, preferably in high-performance computing or data center environments.

- Proven large-scale incident command experience and calm technical leadership on a bridge.

- Demonstrated monitoring and observability design at fleet or campus scale, including alert hygiene, suppression, and signal quality.

- Experience working across at least two of: compute, network, storage, power, and cooling / facilities telemetry.

- Experience writing and operating playbooks or runbooks with a 24/7 operations or NOC partner.

- Proficiency in scripting (Python, Bash) for automation and analysis, plus general experience in at least one systems language (C, C++, Java, Go, Rust, or similar).

- Excellent problem-solving skills with a data-driven approach to reliability engineering.

- Ability to work collaboratively with cross-functional teams, including NOC, data center operations, and infrastructure engineering.

## Preferred Skills and Experience

- Experience in AI/ML infrastructure or supercomputing environments.

- Hands-on definition and use of SLOs, SLIs, and error budgets at service or campus boundaries.

- Experience running game days, dependency mapping, and closed-loop corrective action programs.

- Familiarity with data center hardware and plant signals (servers, GPUs, networking, power, cooling) in addition to software telemetry.

- Prior work in a fast-paced startup or tech company like SpaceXAI.

## Skills

### Required
- site reliability
- systems engineering
- large-scale production operations
- incident command
- monitoring and observability
- scripting
- problem-solving

### Nice to have
- AI/ML infrastructure
- supercomputing environments
- SLOs
- SLIs
- error budgets
- game days
- dependency mapping

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/xai/jobs/5229153007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)