Sr Specialist - Software Development & Engineering, AI Site Reliability Engineer

Job Title: Sr Specialist - Software Development & Engineering, AI Site Reliability Engineer Company: Charles Schwab Job Category: Python Developer Roles & Responsibilities: Hyderabad, Telangana Requisition ID 2026\-128777 Category Engineering \& Software Development Position type Regular 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 We are seeking an AI Site Reliability Engineer to join a forward\-thinking engineering team that builds intelligent observability, monitoring, deployment automation, and production support solutions using AI\-augmented development practices. This role includes hands\-on production support for Pega Infinity applications, where you will engineering rigor to improve platform stability, accelerate incident response, and strengthen operational resilience. You will build software solutions for operational challenges, leveraging Gen AI to automate triage, streamline root cause analysis, 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 the continuous improvement of Pega production operations. Ideal for engineers who are curious, adaptable, and excited about working at the intersection of software engineering, AI, and mission\-critical platform support. Key Responsibilities: High Availability \& Resilience Design and implement architectures that achieve and sustain 99\.999% uptime across critical systems and Pega Infinity application environments 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 Production Support for Pega Infinity Applications Provide engineering\-led production support for Pega Infinity applications, ensuring platform stability, incident resolution, and operational continuity Monitor application health, queues, integrations, and batch processes to proactively identify and resolve issues before business impact occurs Lead incident triage, troubleshooting, and service restoration for Pega production issues, partnering across infrastructure, middleware, database, and development teams as needed Use Gen AI to accelerate incident investigation, summarize signal patterns, and recommend next\-best actions for recurring operational problems Drive permanent fixes through post\-incident analysis, defect prevention, runbook improvements, and automation of repetitive support tasks 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 for shared services and Pega application workloads 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 Build AI\-accelerated root cause analysis with thorough postmortems and actionable remediation Build AI\-powered diagnostic tools that automatically correlate logs, metrics, traces, and Pega operational signals 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 Design and maintain AI\-enhanced CI/CD pipelines with AI\-driven deployment risk scoring Implement progressive delivery with canary releases, blue\-green deployments, and automated rollbacks triggered by AI anomaly detection Leverage Gen AI to generate deployment scripts, IaC templates, and pipeline configurations Support production releases, hotfixes, and change implementations for Pega Infinity applications with strong operational controls and risk awareness Eliminate manual toil by building AI agents for repetitive operational tasks AI\-Driven Development Use GenAI tools (GitHub Copilot, Cursor, ChatGPT) 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 workflows spec\-driven development and continuously evaluate emerging Gen AI tools Testing \& Quality Leverage Gen AI to generate tests, identify coverage gaps, and create edge\-case scenarios Drive AI\-powered security scanning, performance testing, and reliability validation early in development Modernization \& Collaboration Modernize existing monitoring, alerting, deployment, and support processes using AI\-assisted workflows Identify technical debt and propose AI\-accelerated remediation strategies with measurable outcomes Participate in architecture discussions, design reviews, code reviews, and production readiness activities Develop and maintain prompt engineering guidelines and custom instructions for consistent AI\-assisted development Share learnings, patterns, and tooling insights with the broader team What you have ----------------- Work Location: TS, India Availability: Full time

Required Qualifications: 8\+ years of software engineering experience with a strong focus on SRE, DevOps, platform engineering, or enterprise application production support Bachelor's degree in Computer Science or equivalent Hands\-on technically with ability to architect, review code, and contribute to critical decisions Proven experience operating systems at 99\.99% or higher availability Hands\-on experience supporting and troubleshooting enterprise production applications, including incident triage, root cause analysis, and service restoration Hands\-on experience with Pega Infinity applications in production support, platform operations, or engineering roles Strong hands\-on knowledge of Pega operational constructs and troubleshooting, including queues, agents, node types, DDS, Kafka, integrations/APIs, and database troubleshooting Hands\-on experience with GenAI coding tools and demonstrated ability to them effectively Proficiency in .NET, 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 consensus Hands\-on experience with observability platforms (Datadog, Splunk, Grafana, or similar) Strong experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions or similar) Proven track record leading RCA efforts and driving reliability improvements Proven experience diagnosing production issues end\-to\-end, identifying root cause, and partnering with development teams on corrective and preventative improvements Strong CS fundamentals including system design, networking, concurrency, and algorithms Preferred Qualifications: Experience with Oracle, Mongo, SQL DBs Experience with cloud platforms (PCF, GCP, AWS, or Azure) Experience with containerization and orchestration (Docker, Kubernetes) Knowledge of chaos engineering and ML\-powered anomaly detection Experience with legacy system modernization Pega Infinity platform knowledge, including application support, deployment, and troubleshooting concepts Experience with Pega platform components and integrations, such as queues, agents, node classification/types, DDS, Kafka, and API\-based integrations Experience troubleshooting database performance, query issues, and data\-related failures in enterprise application environments Experience supporting workflow\-driven enterprise applications in regulated or high\-availability environments Our base benefits, wellbeing, and total rewards include: ------------------------------------------------------------ Key Skills: Python, SQL, GitHub, Docker, Algorithms Salary: Not disclosed