Money Infrastructure Engineer

xAI
Full_time$180k-440k/year (USD)Palo Alto, United States

📍 Job Overview

  • Job Title: Money Infrastructure Engineer
  • Company: xAI
  • Location: Palo Alto, CA
  • Job Type: Full-Time
  • Category: DevOps, Infrastructure
  • Date Posted: 2025-08-01
  • Experience Level: 5-10 years
  • Remote Status: Remote OK

🚀 Role Summary

  • Design, implement, and operate fault-tolerant infrastructure using modern container-native solutions.
  • Collaborate with cross-functional teams to support infrastructure feature requests and debugging.
  • Ensure security and reliability standards across all levels of infrastructure and applications.
  • Work with third-party auditors and vendors to meet technical compliance and industry best practices.
  • Maintain and optimize production systems, including scheduled maintenance and cross-region failover.

📝 Enhancement Note: This role requires a strong background in infrastructure engineering, with a focus on large-scale distributed systems and cloud platforms. Experience with Kubernetes, infrastructure-as-code, and CI/CD pipelines is essential for success in this role.

💻 Primary Responsibilities

  • Infrastructure Design & Operation: Design, implement, and operate highly available, fault-tolerant infrastructure using modern container-native solutions like Kubernetes.
  • Cross-Functional Collaboration: Work with other engineering teams to support infrastructure feature requests, live system debugging, and on-call rotations.
  • Production System Maintenance: Perform scheduled maintenance and cross-region failover for production systems to ensure high availability and minimal downtime.
  • Security & Compliance: Uphold security and reliability standards across all levels of infrastructure and applications, collaborating with third-party auditors, consultants, and vendors to meet technical compliance and industry best practices.
  • Problem-Solving: Troubleshoot and resolve complex infrastructure issues, working with other teams to diagnose and address root causes.

📝 Enhancement Note: This role requires strong problem-solving skills and the ability to work effectively in a collaborative, cross-functional environment. Experience with incident management and post-mortem analysis is a plus.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant experience may be considered in lieu of a degree.

Experience: 5-10 years of experience in infrastructure engineering, with a focus on large-scale distributed systems and cloud platforms.

Required Skills:

  • Proficiency in Golang, Python, or Shell languages.
  • Expertise in highly available, large-scale distributed systems.
  • Strong knowledge of Kubernetes, infrastructure-as-code (e.g., Terraform), and CI/CD (e.g., Github Actions, ArgoCD).
  • Strong knowledge in cloud platforms like GCP or AWS, covering infrastructure, networking, and services.
  • Proficiency with RDBMS and large-scale data systems (MySQL, Presto, S3, Athena, BigQuery).
  • A security-first mindset.

Preferred Skills:

  • Experience with financial services or fintech industry.
  • Familiarity with financial data models and systems.
  • Knowledge of financial regulations and compliance requirements.

📝 Enhancement Note: While not explicitly stated, experience with financial services or fintech industry would be beneficial for this role, as the candidate would be working on infrastructure for a financial services product. Familiarity with financial data models, systems, and regulations would be a plus.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

  • Demonstrate experience with large-scale distributed systems and cloud platforms through relevant projects.
  • Showcase problem-solving skills and incident management experience through case studies.
  • Highlight experience with Kubernetes, infrastructure-as-code, and CI/CD pipelines through project examples.

Technical Documentation:

  • Provide clear and concise documentation for infrastructure components, including architecture diagrams, deployment processes, and monitoring strategies.
  • Include testing methodologies, performance metrics, and optimization techniques for infrastructure systems.

📝 Enhancement Note: While not explicitly stated, the company is looking for candidates who can provide clear and concise documentation for infrastructure components. This is crucial for ensuring smooth collaboration and knowledge sharing within the team.

💵 Compensation & Benefits

Salary Range: $180,000 - $440,000 per year (based on experience and location)

Benefits:

  • Equity
  • Comprehensive medical, vision, and dental coverage
  • Access to a 401(k) retirement plan
  • Short and long-term disability insurance
  • Life insurance
  • Various other discounts and perks

Working Hours: Full-time (40 hours per week), with flexible hours and remote work options available.

📝 Enhancement Note: The salary range provided is based on the company's stated range and industry standards for infrastructure engineers with 5-10 years of experience. However, the actual salary may vary based on the candidate's specific experience and qualifications.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence and Machine Learning

Company Size: Small (less than 50 employees)

Founded: 2021

Team Structure:

  • Small, highly motivated team focused on engineering excellence.
  • Flat organizational structure with all employees expected to be hands-on and contribute directly to the company's mission.
  • Leadership given to those who show initiative and consistently deliver excellence.

Development Methodology:

  • Agile development processes with a focus on collaboration and continuous improvement.
  • Strong emphasis on communication and knowledge sharing within the team.

Company Website: x.ai

📝 Enhancement Note: While not explicitly stated, the company's small size and focus on engineering excellence suggest a fast-paced, collaborative work environment. The flat organizational structure indicates that all employees are expected to take initiative and contribute directly to the company's mission.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Infrastructure Engineer

Reporting Structure: This role reports directly to the CTO and works closely with other engineering teams.

Technical Impact: This role has a significant impact on the company's ability to scale and maintain its infrastructure, ensuring high availability and minimal downtime for its products.

Growth Opportunities:

  • Technical Growth: Deepen expertise in infrastructure engineering, large-scale distributed systems, and cloud platforms.
  • Leadership Growth: Demonstrate strong leadership skills and take on mentoring responsibilities within the team.
  • Architecture Growth: Gain experience in designing and implementing complex infrastructure architectures.

📝 Enhancement Note: This role offers significant growth opportunities for infrastructure engineers looking to deepen their technical expertise, take on leadership responsibilities, and gain experience in designing and implementing complex infrastructure architectures.

🌐 Work Environment

Office Type: Hybrid (remote and on-site work available)

Office Location(s): Palo Alto, CA

Workspace Context:

  • Collaborative work environment with a focus on communication and knowledge sharing.
  • Access to modern development tools, multiple monitors, and testing devices.
  • Opportunities for cross-functional collaboration with designers, marketers, and other stakeholders.

Work Schedule: Flexible hours with a focus on results and delivery.

📝 Enhancement Note: While not explicitly stated, the company offers a hybrid work environment with flexible hours, allowing employees to balance work and personal responsibilities. The collaborative work environment encourages communication and knowledge sharing among team members.

📄 Application & Technical Interview Process

Interview Process:

  1. Technical Phone Screen: A 30-minute phone screen to assess technical skills and cultural fit.
  2. On-Site Technical Interview: A 4-hour on-site interview consisting of a technical deep dive, system design exercise, and behavioral questions.
  3. Final Decision: A final decision will be made based on the candidate's technical skills, cultural fit, and alignment with the company's mission.

Portfolio Review Tips:

  • Highlight experience with large-scale distributed systems and cloud platforms through relevant projects.
  • Showcase problem-solving skills and incident management experience through case studies.
  • Include clear and concise documentation for infrastructure components, including architecture diagrams, deployment processes, and monitoring strategies.

Technical Challenge Preparation:

  • Brush up on knowledge of Kubernetes, infrastructure-as-code, and CI/CD pipelines.
  • Prepare for system design exercises and behavioral questions related to infrastructure engineering and problem-solving.
  • Familiarize yourself with the company's mission and values to demonstrate cultural fit.

ATS Keywords:

  • Infrastructure Engineering
  • Large-Scale Distributed Systems
  • Cloud Platforms (GCP, AWS)
  • Kubernetes
  • Infrastructure-as-Code (Terraform)
  • CI/CD (Github Actions, ArgoCD)
  • RDBMS (MySQL)
  • Data Systems (Presto, S3, Athena, BigQuery)
  • Security-First Mindset
  • Problem-Solving
  • Incident Management
  • Agile Development
  • Collaboration
  • Communication

📝 Enhancement Note: The interview process for this role is designed to assess the candidate's technical skills, problem-solving abilities, and cultural fit. The portfolio review tips and technical challenge preparation suggestions are tailored to help candidates demonstrate their expertise in infrastructure engineering and large-scale distributed systems.

🛠 Technology Stack & Web Infrastructure

Infrastructure Technologies:

  • Kubernetes
  • Infrastructure-as-Code (Terraform)
  • CI/CD (Github Actions, ArgoCD)
  • Cloud Platforms (GCP, AWS)
  • RDBMS (MySQL)
  • Data Systems (Presto, S3, Athena, BigQuery)

Monitoring Tools:

  • Prometheus
  • Grafana
  • ELK Stack (Elasticsearch, Logstash, Kibana)
  • Datadog

Collaboration Tools:

  • GitHub
  • Slack
  • Google Workspace (Gmail, Google Docs, Google Drive)

📝 Enhancement Note: The technology stack for this role includes a range of infrastructure technologies, cloud platforms, and monitoring tools. Experience with these technologies is essential for success in this role.

👥 Team Culture & Values

Web Development Values:

  • Excellence: Strive for excellence in all aspects of your work, from infrastructure design to problem-solving and incident management.
  • Collaboration: Work effectively with other teams to ensure the success of the company's mission.
  • Continuous Learning: Stay up-to-date with the latest trends and best practices in infrastructure engineering and cloud platforms.
  • Security-First Mindset: Prioritize security in all aspects of your work, from infrastructure design to incident response.

Collaboration Style:

  • Cross-Functional Collaboration: Work closely with other teams, including product, design, and marketing, to ensure the success of the company's mission.
  • Code Review Culture: Participate in code reviews to ensure the quality and maintainability of the company's infrastructure.
  • Knowledge Sharing: Share your knowledge and expertise with other team members to foster a culture of continuous learning and improvement.

📝 Enhancement Note: The company values excellence, collaboration, continuous learning, and a security-first mindset. The collaboration style emphasizes cross-functional collaboration, code review culture, and knowledge sharing to foster a culture of continuous learning and improvement.

⚡ Challenges & Growth Opportunities

Technical Challenges:

  • Scalability: Design and implement infrastructure that can scale to meet the company's growing needs.
  • Security: Ensure the security and compliance of the company's infrastructure, including data protection and regulatory compliance.
  • Incident Management: Develop and refine incident management processes to minimize downtime and ensure quick resolution of infrastructure issues.
  • Collaboration: Work effectively with other teams to ensure the success of the company's mission.

Learning & Development Opportunities:

  • Technical Skills: Deepen your expertise in infrastructure engineering, large-scale distributed systems, and cloud platforms.
  • Leadership Skills: Develop your leadership skills through mentoring and team management opportunities.
  • Architecture Skills: Gain experience in designing and implementing complex infrastructure architectures.

📝 Enhancement Note: This role presents significant technical challenges and growth opportunities for infrastructure engineers looking to develop their skills in scalability, security, incident management, and collaboration. The learning and development opportunities focus on technical skills, leadership skills, and architecture skills.

💡 Interview Preparation

Technical Questions:

  • System Design: Prepare for system design questions related to large-scale distributed systems and cloud platforms.
  • Incident Management: Brush up on your incident management skills and be prepared to discuss your approach to incident response and post-mortem analysis.
  • Problem-Solving: Prepare for problem-solving questions related to infrastructure engineering and cloud platforms.

Company & Culture Questions:

  • Mission Alignment: Be prepared to discuss how your skills and experience align with the company's mission and values.
  • Team Dynamics: Prepare for questions related to your ability to work effectively in a collaborative, cross-functional team environment.
  • Adaptability: Be prepared to discuss your ability to adapt to new technologies and work environments.

Portfolio Presentation Strategy:

  • Storytelling: Use storytelling techniques to highlight your experience with large-scale distributed systems and cloud platforms through relevant projects.
  • Problem-Solving: Showcase your problem-solving skills and incident management experience through case studies.
  • Documentation: Include clear and concise documentation for infrastructure components, including architecture diagrams, deployment processes, and monitoring strategies.

📝 Enhancement Note: The technical questions for this role focus on system design, incident management, and problem-solving. The company and culture questions assess the candidate's alignment with the company's mission and values, team dynamics, and adaptability. The portfolio presentation strategy emphasizes storytelling, problem-solving, and clear documentation.

📌 Application Steps

To apply for this Money Infrastructure Engineer position:

  1. Customize Your Portfolio: Highlight your experience with large-scale distributed systems and cloud platforms through relevant projects. Include clear and concise documentation for infrastructure components, including architecture diagrams, deployment processes, and monitoring strategies.
  2. Optimize Your Resume: Emphasize your technical skills and experience with infrastructure engineering, large-scale distributed systems, and cloud platforms. Include relevant keywords to improve search visibility.
  3. Prepare for Technical Interviews: Brush up on your knowledge of Kubernetes, infrastructure-as-code, and CI/CD pipelines. Prepare for system design exercises, incident management questions, and problem-solving scenarios.
  4. Research the Company: Familiarize yourself with the company's mission, values, and culture. Prepare for questions related to your alignment with the company's goals and your ability to work effectively in a collaborative team environment.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.


Application Requirements

Ideal candidates should have experience with Golang, Python, or Shell languages and expertise in highly available, large-scale distributed systems. Strong knowledge of Kubernetes, infrastructure-as-code, and cloud platforms like GCP or AWS is also required.