Site Reliability Engineer, xAI

• A minimum of 5 years of software, systems or reliability engineering experience
• Experience managing services in distributed, internet-scale *nix environments, including on-prem and cloud (e.g., AWS, GCP)
• Development experience in Python, Scala, Java, C, or C++
• Demonstrable knowledge of TCP/IP, HTTP, Networking and systems programming (e.g., bash and shell tools)
• Familiarity with containerization and orchestration tools (e.g., Kubernetes, Docker, Mesos) and systems management (e.g., Puppet, Chef, Ansible)
• Bachelor's degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience)

Desirable

• AI is building at a furious pace with the latest hardware to help people understand the universe and we are in need of Site Reliability Engineers (SREs) who have at least 8+ years of experience in distributed, internet-scale environments, including on-prem and cloud-based infrastructure
• You will own the availability and reliability of xAI's infrastructure and core services, including detecting issues, problem management, incident management, and root cause analyses (RCAs)
• Engineers will own the availability of xAI infrastructure and its operations processes applying concepts like failure domains, blast radii, and canary testing
• You will be expected to participate in a team on-call rotation and to contribute to ushering xAI into the next generation of infrastructure management across multiple data centers and cloud environments
• Setting technical strategy and roadmap for infrastructure availability
• Automating monitoring, alerting, and troubleshooting for high-availability services, while working with legacy systems to scale, improve, or deprecate
• Owning incident response, problem management, and conducting thorough RCAs to prevent recurrence and drive continuous improvement
• Analyzing performance metrics and service health to identify, resolve, and mitigate bottlenecks or failures in distributed environments
• Ensuring security, scalability, and resilience of production infrastructure supporting AI workloads

• After submitting your application, the team reviews your CV and statement of exceptional work
• If your application passes this stage, you will be invited to an initial interview (45 minutes - 1 hour) during which a member of our team will ask some basic questions
• If you clear the initial phone interview, you will enter the main process, which consists of four interviews:
• Coding assessment in a language of your choice
• Site reliability and operations technologies
• Manager Interview
• Meet and greet with the team with a presentation of a large scale solution or problem you owned, start to finish
• Our goal is to finish the main process within one week
• We don’t rely on recruiters for assessments
• Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet