Your opportunityAt Charles Schwab, our purpose is simple: we champion clients goals with passion and integrity. Guided by honesty, mutual respect and a commitment to doing whats 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 chance 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 Schwabs 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 its a chance to experiment, learn, and build within a valuedriven, 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 regionWe 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. This is a hands-on engineering role where you will actively contribute to architecture, code, AI-driven tooling, and modern DevOps practices. Ideal for engineers who are curious, adaptable, and excited about working at the intersection of software engineering, AI, and cloud-native DevOps Key Responsibilities: High Availability & Resilience Design and implement architectures that achieve and sustain 99.999% uptime across critical systems Define, measure, and track SLOs, SLIs, and error budgets Build AI-powered self-healing systems with automated failover, redundancy, and graceful degradation Perform AI-assisted capacity planning, demand forecasting, and load testing Conduct chaos engineering practices enhanced with AI-driven failure prediction Observability & Monitoring Design, build, and maintain AI-enhanced observability platforms covering metrics, logs, traces, and intelligent alerting Implement 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 AnalysisBuild AI-accelerated root cause analysis processes with thorough postmortems and actionable remediation Develop 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 workflowsDeployment Automation & DevOps (GitHub-Centric)Design and maintain AI-enhanced CI/CD pipelines using GitHub and GitHub Actions as primary DevOps platforms Implement workflows for build, test, deploy, and release automation using GitHub Actions Enable progressive delivery with canary releases, blue-green deployments, and automated rollbacks triggered by AI-driven anomaly detection Leverage Gen AI to generate and optimize: o GitHub Actions workflows o Deployment scripts o Infrastructure-as-Code (IaC) templates Establish branching strategies, PR governance, and code review standards to ensure quality and reliability Integrate GitHub ecosystem capabilities including: o GitHub Advanced Security (code scanning, secret scanning) o GitHub Packages/Artifacts for build distribution Build AI agents to automate repetitive DevOps and release management tasks Drive end-to-end DevOps observability across pipelines, deployments, and production systemsAI-Driven DevelopmentUse GenAI tools (GitHub Copilot) for coding, debugging, documentation, and operations Developer ownership is non-negotiable all code, whether human or AI-generated, must be reviewed, tested, and understood before merging Design and develop AI agents for incident response, log analysis, capacity management, and operational automation Define agent goals, tool use, memory, and orchestration logic for multi-step SRE .

📌 Specialist, Software Development & Engineering - AI Devops & Release Engineer (Hyderabad)
🏢 Charles Schwab
📍 Hyderabad