Jobs
Benefits & Perks
•401(k)
•Equity
•Paid time off
•Sabbatical
•Parental Leave
•Learning Budget
•Healthcare
•401k
•Equity
•Sabbatical
•Parental Leave
•Learning
•Healthcare
Required Skills
Site reliability engineering
Software development
Reliability engineering
Monitoring and alerting
Incident response
Cloud-native applications
Containers
Infrastructure as code
Data pipelines
Pay range: USD $190,000.00 - $270,000.00 / Year
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. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. 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 AI Site Reliability Engineer on AI.x, you will play a key role in ensuring our AI solutions are reliable, scalable, and resilient-enabling us to deliver innovative experiences to millions of clients.
This role is more than a reliability engineering position. It is an opportunity to join a high-profile team shaping Schwab's future with AI, to build and maintain 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 design, implement, and manage the reliability and operational excellence of GenAI applications and platforms. You will work closely with architects, engineers, and business leaders to align reliability practices with Schwab's enterprise strategy. You will mentor and coach junior engineers, helping to build strong operational practices and foster a culture of continuous improvement. You will lead by example in solving complex reliability challenges, advancing SRE standards, and driving rapid iteration from concept to production. Above all, you will bring curiosity, creativity, and technical depth to help shape the next generation of reliable AI at Schwab.
What you have Required Qualifications:
- 8+ years of software development or reliability engineering experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations.
- Bachelor's degree in Computer Science or related field.
- 5+ years of experience building and operating complex products from scratch and running them in production.
- 3+ years of experience supporting applications that use Artificial Intelligence (AI) models to deliver real business impact.
- 3+ years of experience building and maintaining data pipelines and infrastructure for large datasets.
- 3+ years of experience with containers and cloud-native applications, and the ability to operationalize them in the public cloud with infrastructure as code.
- Experience implementing monitoring, alerting, and incident response for large-scale distributed systems.
- Proven track record in driving reliability, scalability, and performance improvements for production AI systems.
Preferred Qualifications
- Strong computer science fundamentals and experience working across different parts of the tech stack.
- Experience working with proprietary or open-source LLMs (Gemini, Claude, OpenAI or other models) and supporting LLM-powered applications in production.
- Focus on quality and reliability in everything you do. Continue to raise the bar and drive others to deliver high-quality, resilient products, with experience writing tests and implementing automated reliability checks.
- Experience writing and running evaluations to ensure quality and monitor consistency in LLM-generated responses and actions.
- Strong communication skills - you balance written and verbal communication to clearly share your perspective with others on the team.
- Experience mentoring junior engineers and helping them grow their technical and operational skills through clear feedback and code reviews.
- Demonstrated mindset of continuous learning and improvement.
- Ability to solve complex problems with ambiguous or incomplete data in highly distributed systems.
- Demonstrated business domain knowledge related to all products you have worked on.
- Curiosity about new technologies and processes - you always seek to improve yourself and everyone around you and proactively seek and share knowledge with others on your team.
- Experience with Python and front-end development preferred but not required.
- Master's or advanced degrees in Computer Science or related fields.
In addition to the salary range, this role is also 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
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About Charles Schwab

Charles Schwab
PublicCharles Schwab Corporation is a major American multinational financial services company that provides brokerage, banking, and financial advisory services to individual and institutional clients.
10,001+
Employees
Westlake
Headquarters
Reviews
3.6
2 reviews
Work Life Balance
3.0
Compensation
4.0
Culture
2.0
Career
1.5
Management
1.5
25%
Recommend to a Friend
Pros
Competitive wage
Strong benefits
Transparent interview process
Cons
Discrimination issues
Retaliation against employees
Wrongful termination
Salary Ranges
4 data points
L2
L3
L4
L5
L6
L2 · Cybersecurity Analyst L2
0 reports
$97,500
total / year
Base
$39,000
Stock
$48,750
Bonus
$9,750
$68,250
$126,750
Interview Experience
7 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
28%
Experience
Positive 14%
Neutral 58%
Negative 28%
Interview Process
1
Phone Screen
2
Interview
3
Background Check
Common Questions
Phone Interview
Recruiter Screening
Technical Assessment
News & Buzz
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