Your opportunity

At Charles Schwab, our purpose is simple: we champion client’s goals with passion and integrity. Guided by honesty, mutual respect and a commitment to doing what’s right, we bring innovation, education, and service together to help shape financial futures. Our people are the foundation of our success – they approach their work with curiosity and collaboration, coming together to create solutions that make a meaningful impact for clients and communities. As we expand into India, we are bringing this same culture of inclusion, learning, and opportunity to new talent. Joining us means becoming part of a global team where your work matters and your future can take shape.

Our Hyderabad location is central to Schwab’s growth, bringing together talented people and technology to drive innovation, scale and efficiency. Here, you will work alongside teams who create solutions that support millions of clients every day. The work you do is more than daily operations – it’s a chance to experiment, learn, and build within a values-driven, supportive environment. This is a unique opportunity to be part of our early growth phase and shape something new, backed by the stability and strength of a Fortune 500 company. Your impact begins on day one, and your contributions will help define our future in the region.

What you have

We are seeking an AI Site Reliability Engineer to join a forward-thinking engineering team that builds intelligent observability, monitoring, and deployment automation solutions using AI-augmented development practices. This is not traditional production support. You will build software solutions for operational challenges, leveraging Gen AI to accelerate workflows, automate incident response, and drive systems toward five 9s (99.999%) availability while ensuring capacity planning, redundancy, and the highest standards of reliability, security, and scalability.

8+ years of software engineering experience with a strong focus on SRE, DevOps, Release Management or platform engineering
•Bachelor’s degree in computer science or equivalent
•Hands-on technical expertise with ability to architect, review code, and influence critical decisions
•Proven experience operating systems at 99.99% or higher availability
•Hands-on experience with GenAI coding tools and demonstrated ability to apply them effectively

DevOps & Source Control
•Strong hands-on experience with Git-based workflows (GitHub preferred)
•Deep expertise in GitHub Actions for CI/CD automation
•Experience designing end-to-end CI/CD pipelines using GitHub ecosystem
•Strong understanding of branching strategies, pull request workflows, and code review practices
•Experience integrating security, testing, and quality gates into CI/CD pipelines

Technical Stack
•Proficiency in Java, with scripting skills in Python, Bash, or PowerShell
•Experience building AI agents for operational automation
•Strong prompt engineering skills with ability to contribute to team-level AI practices
•Deep understanding of HA patterns including active-active, multi-region failover, and distributed systems
•Hands-on experience with observability platforms (Datadog, Splunk, Grafana, Prometheus, ELK, etc.)
•Proven track record leading RCA efforts and driving reliability improvements
•Strong CS fundamentals including system design, networking, concurrency, and algorithms