Senior AI Site Reliability Engineer, AI.x

Charles Schwab; Austin (TX); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

401(k) match

Sabbatical after 5 years of service

Parental leave

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab is seeking a Senior AI Site Reliability Engineer to reinforce reliability, observability, and automation for GenAI platforms. You will design scalable CI/CD pipelines and coordinate with AI Engineering to embed SRE best practices early in development.

The role emphasizes on-call support, incident response, and improving SLOs/SLIs while working within Schwab's AI.x initiative and broader cloud-native environments.

Qualifications

• 8+ years in software engineering with 4+ years as an SRE in startups or large organizations.
• Bachelor's degree in Computer Science or related field, or equivalent experience.
• 3+ years of experience with containers and cloud-native apps, IaC, and CI/CD pipelines.

Responsibilities

• Lead automation-first reliability initiatives across AI.x platforms.
• Design robust CI/CD pipelines with automated testing, validation, and rollback.
• Implement observability frameworks with metrics, logs, and traces for real-time monitoring.
• Participate in on-call rotations to ensure 24/7 reliability of AI systems.

Skills

SRE expertise

Cloud-native apps

CI/CD pipelines

Infrastructure as Code

Observability

On-call readiness

Team collaboration

Education

Bachelor's in Computer Science or related field

Tools

Terraform

Google Cloud Platform

Kubernetes

CI/CD tooling

Job description

Your opportunity

At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do.

Schwab's AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. As a Senior Engineer on AI.x, you will play a key role in bringing these priorities to life by designing and delivering innovative AI solutions.

This role is an opportunity to join a high-profile team shaping Schwab's future with AI, to build solutions that matter to millions of clients, and to grow your career in one of the most exciting areas of technology today.

As a Senior AI Site Reliability Engineer you will support reliability efforts for cutting-edge GenAI applications that enhance the client experience and create value. You will work closely with architects and engineers to ensure scalability, reliability and security of solutions that build towards an enterprise strategy. You will lead automation-first initiatives, build robust CI/CD pipelines for one-touch deployments, and implement comprehensive observability frameworks to minimize MTTD and MTTR. This role requires participation in on-call rotations to ensure 24/7 reliability of critical AI systems. Above all, you will apply the rigor, discipline, and technical depth to help shape the next generation of AI at Schwab.

Roles & Responsibilities:

• Lead automation-first initiatives to eliminate toil and manual interventions, defining and executing the strategic roadmap for reliability, observability, and self-healing systems across AI.x platforms
• Design and implement robust CI/CD pipelines enabling one-touch deployments with automated testing, validation, and rollback capabilities to accelerate delivery velocity and reduce deployment risk
• Implement comprehensive observability frameworks for real-time monitoring of AI services, including metrics, logs, and traces, with intelligent alerting and automated diagnostics to minimize MTTD and MTTR
• Participate in on‑call rotation providing 24/7 support for production AI systems, ensuring rapid incident response, root cause analysis, and resolution with measurable SLO targets
• Establish and manage Service Level Objectives (SLOs), Service Level Indicators (SLIs), error budgets, and incident response runbooks to drive continuous reliability improvements
• Champion Infrastructure-as-Code (IaC) practices and automate environment provisioning, configuration management, and deployment processes to ensure consistency, repeatability, and operational efficiency
• Collaborate seamlessly with AI Engineering teams to integrate SRE practices early in the development lifecycle, promoting a culture of reliability and shared responsibility
• Proactively identify and resolve reliability, performance, and scalability issues through data-driven analysis, capacity planning, and system optimization
• Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability, maximizing production availability
• Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines, establishing patterns and standards for the organization

What you have

Required Qualifications

• 8+ years of software engineering experience, with 4+ years as a hands‑on Site Reliability Engineer in startups and/or large organizations.
• Bachelor's degree in Computer Science or related field, or equivalent experience.
• 5+ years building complex products from scratch, running them in production, and ensuring operational reliability.
• 3+ years working with containers and cloud‑native applications, operationalizing them in the public cloud with infrastructure as code and CI/CD pipelines.
• 3+ years of experience working in high‑availability hybrid‑cloud environments.

Preferred Qualifications

• Strong computer science fundamentals and experience across the tech stack.
• Experience with proprietary or open‑source LLMs (e.g., Gemini, Claude, OpenAI), deploying LLM‑powered applications to production and maintaining availability.
• Strong written and verbal communication skills to clearly convey ideas and feedback.
• Strong understanding of observability, incident management and reliability engineering principles.
• Mindset of continuous learning and improvement, adept at both giving and receiving feedback.
• Ability to troubleshoot complex problems with ambiguous or incomplete data in distributed systems.
• Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement.
• Experience with Terraform and Google Cloud Platform.

In addition to the salary range, this role is eligible for bonus or incentive opportunities.

What's in it for you

At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration - so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you - both today and in the future:

• 401(k) with company match and Employee stock purchase plan
• Paid time for vacation, volunteering, and 28‑day sabbatical after every 5 years of service for eligible positions
• Paid parental leave and family building benefits
• Tuition reimbursement
• Health, dental, and vision insurance