Sr Manager, AI Site Reliability Engineer - Core Enterprise Services

Hyderabad, Telangana

Requisition ID 2026-122871 Category Engineering & Software Development Position type Regular

Your opportunity

At Charles Schwab, our purpose is simple: we championclients’goals with passion and integrity. Guided by honesty, mutualrespectand a commitment to doingwhat’sright, 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’sa chance to experiment, learn, and build within avalue–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

We are seeking a Senior Manager, AI Site Reliability Engineering to lead a team that builds intelligent observability, monitoring, and deployment automation solutions using AI-augmented development practices. This is not traditional production support. You will lead AI SRE engineers who 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. This is a hands-on technical leadership role where you will actively contribute to architecture, code, and AI-driven tooling alongside your team. Ideal for engineering leaders who are curious, adaptable, and excited about working at the intersection of software engineering and AI

KeyResponsibilities:

People Leadership

Lead, mentor, and grow a high-performing team of AI Site Reliability Engineers
Foster a culture of ownership, accountability, AI-first thinking, and psychological safety
Drive hiring, onboarding, career development, and performance management
Remove blockers and advocate for team needs across the organization
Hands-On Technical Leadership

Stay hands-on with architecture, code reviews, AI tooling evaluation, and critical system design decisions
Set and enforce engineering standards for code quality, AI-generated code review, and operational excellence
Serve as the technical escalation point for high-severity incidents, leveraging AI-driven diagnostics
High Availability & Resilience

Architect and drive systems toward 99.999% uptime across critical systems
Define, measure, and enforce SLOs, SLIs, and error budgets
Champion AI-powered self-healing systems with automated failover, redundancy, and graceful degradation
Drive AI-assisted capacity planning, demand forecasting, and load testing
Establish chaos engineering practices enhanced with AI-driven failure prediction
Observability & Monitoring

Lead design of AI-enhanced observability platforms covering metrics, logs, traces, and intelligent alerting
Drive AI-powered anomaly detection, predictive alerting, and proactive system health management
Leverage Gen AI to auto-generate and refine dashboards, alert rules, and runbooks
Build real-time availability dashboards with AI-driven trend analysis tracking 99.999% targets
Root Cause Analysis

Lead AI-accelerated root cause analysis with thorough postmortems and actionable remediation
Build AI-powered diagnostic tools that automatically correlate logs, metrics, and traces
Use Gen AI to analyze incident patterns, predict recurring failures, and recommend preventive actions
Build AI agents that automate initial triage and preliminary RCA for common incident types
Continuously reduce MTTD and MTTR through AI-assisted workflows
Deployment Automation

Oversee AI-enhanced CI/CD pipelines with AI-driven deployment risk scoring
Drive prog…