Member Of Technical Staff - Cloud Infrastructure

Responsibilities

• Develop and optimize software to provision and manage xAI’s infrastructure across on-premise, virtual machine, and classified cloud environments, enabling efficient scaling for US government initiatives.
• Enhance the reliability, performance, and cost-effectiveness of infrastructure to support large-scale AI and application workloads in secure, classified settings.
• Collaborate with xAI engineers to understand workload requirements and design tailored solutions that meet government-specific needs and compliance standards.
• Implement robust observability, monitoring, and security practices to ensure the integrity, availability, and confidentiality of critical systems, adhering to federal protocols.
• Manage storage infrastructure using Infrastructure-as-Code (IaC) tools such as Pulumi, Terraform, or Ansible, with a focus on secure data handling.
• Drive system reliability through incident management, postmortems, and the definition of clear SLAs and SLOs, while maintaining security and compliance.

Basic Qualifications

• Active Top Secret (TS) security clearance.
• 5+ years of experience as an Infrastructure Engineer, Site Reliability Engineer, or similar role, with a focus on building and maintaining reliable, scalable systems, preferably in secure or government environments.
• 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.
• Excellent communication and documentation skills, with the ability to handle sensitive information concisely and accurately.

Preferred Skills and Experience

• Deep familiarity with installing and using GPU hardware, including setting up drivers, debugging issues, and ensuring reliability.
• Experience with high-traffic web or mobile application workloads, including optimizing Kubernetes for large-scale deployments in classified or federal settings.
• Familiarity with chaos engineering, capacity planning, or similar practices for ensuring system resilience in government projects.
• 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 in secure environments.
• CISSP or other certifications in security-related fields or experience in secure federal environments.

Compensation and Benefits

• $180,000 - $440,000 USD base salary.
• Equity, comprehensive medical, vision, and dental coverage, 401(k), short & long-term disability insurance, life insurance, and various perks.