Your opportunity At 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 region We are seeking an AI Site Reliability Engineer to join a forwardthinking engineering team that builds intelligent observability monitoring and deployment automation solutions using AIaugmented 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 handson engineering role where you will actively contribute to architecture code AIdriven tooling and contemporary DevOps practices Ideal for engineers who are curious adaptable and excited about working at the intersection of software engineering AI and cloudnative 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 AIpowered selfhealing systems with automated failover redundancy and graceful degradation Perform AIassisted capacity planning demand forecasting and load testing Conduct chaos engineering practices enhanced with AIdriven failure prediction Observability Monitoring Design build and maintain AIenhanced observability platforms covering metrics logs traces and intelligent alerting Implement AIpowered anomaly detection predictive alerting and proactive system health management Leverage Gen AI to autogenerate and refine dashboards alert rules and runbooks Build realtime availability dashboards with AIdriven trend analysis tracking 99 999 targets Root Cause Analysis Build AIaccelerated root cause analysis processes with thorough postmortems and actionable remediation Develop AIpowered 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 AIassisted workflows Deployment Automation DevOps GitHubCentric Design and maintain AIenhanced 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 bluegreen deployments and automated rollbacks triggered by AIdriven anomaly detection Leverage Gen AI to generate and optimize o GitHub Actions workflows o Deployment scripts o InfrastructureasCode 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 endtoend DevOps observability across pipelines deployments and production systems AIDriven Development Use GenAI tools GitHub Copilot for coding debugging documentation and operations Developer ownership is nonnegotiable all code whether human or AIgenerated 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 multistep SRE

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