xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
We are seeking a highly skilled Site Reliability Engineer to join our mission-driven team, focusing on designing, building, and optimizing Kubernetes clusters across multiple regions. In this role, you will leverage your expertise in Kubernetes orchestration and distributed systems to enhance the reliability, performance, and cost-effectiveness of xAI’s infrastructure. You will collaborate closely with engineering teams to deliver robust, scalable solutions that support large-scale AI workloads. The ideal candidate is passionate about automation, observability, and ensuring the integrity of critical systems in a fast-paced, innovative environment.
Responsibilities- Develop and optimize software to provision and manage Kubernetes clusters on-premises, enabling xAI to scale efficiently.
- Enhance the reliability, performance, and cost-effectiveness of Kubernetes infrastructure to support large-scale AI and application workloads.
- Collaborate with xAI engineers to understand workload requirements and design tailored Kubernetes solutions to meet their needs.
- Implement robust observability, monitoring, and security practices to ensure the integrity, availability, and confidentiality of critical systems.
- Manage storage infrastructure using Infrastructure-as-Code (IaC) tools such as Pulumi, Terraform, or Ansible.
- Drive system reliability through incident management, postmortems, and the definition of clear SLAs and SLOs.
- Contribute to the Kubernetes stack, including expertise in CNI, CRI, CSI, and related components.
- This is an in-person role based in Palo Alto, CA, with up to 25% travel required.
- 5+ years of experience as a Site Reliability Engineer or similar role, with a focus on building and maintaining reliable, scalable systems.
- Proven expertise in managing Kubernetes infrastructure using tools like Cluster API (CAPI) and kubeadm.
- Proficiency in managing storage infrastructure with IaC tools such as Pulumi, Terraform, or Ansible.
- Deep understanding of the Kubernetes stack, including CNI, CRI, CSI, and related components.
- Demonstrated ability to improve system reliability through incident management, postmortems, and defining SLAs/SLOs.
- Experience with high-traffic web or mobile application workloads, including optimizing Kubernetes for large-scale deployments.
- Familiarity with chaos engineering, capacity planning, or similar practices for ensuring system resilience.
- Proficiency with tools such as Kyverno, ArgoCD, or Go programming for infrastructure automation.
- Strong sense of ownership, curiosity, and enthusiasm for tackling complex technical challenges.
- Passion for problem-solving and a proactive drive to deliver impactful results.
- A sense of adventure and humor to navigate challenges with a positive mindset.
$180,000 - $440,000 USD
BenefitsBase salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
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What We Do
Understand the Universe
