{"id":3870580,"url":"https://alion.io/job/charles-schwab-sr-specialist-software-development-engineering-ai-site-reliability-engineer","title":"Sr Specialist - Software Development & Engineering, AI Site Reliability Engineer","company":{"id":5314,"name":"Charles Schwab","domain":"schwab.com","url":"https://alion.io/company/charles-schwab-inc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"A","score":93,"open_postings":85,"ghost_share":0.082,"stale_share":0.141,"repost_share":0.259,"time_to_fill_p50_days":10,"computed_at":"2026-11-11T05:49:22Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Blue-Green Deployment","optional":false},{"name":"Chaos Engineering","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Datadog","optional":false},{"name":"Function Calling","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"Jenkins","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PowerShell","optional":false},{"name":"Progressive Delivery","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Self-Healing","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Splunk","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"C#","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"MongoDB","optional":true},{"name":"Oracle","optional":true},{"name":"SQL","optional":true}],"status":"closed","first_seen_at":"2026-11-06T14:15:07Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T08:19:41Z","board_verified":false,"closed_at":"2026-11-07T08:19:41Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Your opportunity\nAt 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.\nOur 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\nWe 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 apply 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.\nKey Responsibilities:\nHigh Availability & Resilience\nDesign and implement architectures that achieve and sustain 99.999% uptime across critical systems and Pega Infinity application environments\nDefine, measure, and track SLOs, SLIs, and error budgets\nBuild AI-powered self-healing systems with automated failover, redundancy, and graceful degradation\nPerform AI-assisted capacity planning, demand forecasting, and load testing\nConduct chaos engineering practices enhanced with AI-driven failure prediction\nProduction Support for Pega Infinity Applications\nProvide engineering-led production support for Pega Infinity applications, ensuring platform stability, incident resolution, and operational continuity\nMonitor application health, queues, integrations, and batch processes to proactively identify and resolve issues before business impact occurs\nLead incident triage, troubleshooting, and service restoration for Pega production issues, partnering across infrastructure, middleware, database, and development teams as needed\nUse Gen AI to accelerate incident investigation, summarize signal patterns, and recommend next-best actions for recurring operational problems\nDrive permanent fixes through post-incident analysis, defect prevention, runbook improvements, and automation of repetitive support tasks\nObservability & Monitoring\nDesign, build, and maintain AI-enhanced observability platforms covering metrics, logs, traces, and intelligent alerting\nImplement AI-powered anomaly detection, predictive alerting, and proactive system health management for shared services and Pega application workloads\nLeverage Gen AI to auto-generate and refine dashboards, alert rules, and runbooks\nBuild real-time availability dashboards with AI-driven trend analysis tracking 99.999% targets\nRoot Cause Analysis\nBuild AI-accelerated root cause analysis with thorough postmortems and actionable remediation\nBuild AI-powered diagnostic tools that automatically correlate logs, metrics, traces, and Pega operational signals\nUse Gen AI to analyze incident patterns, predict recurring failures, and recommend preventive actions\nBuild AI agents that automate initial triage and preliminary RCA for common incident types\nContinuously reduce MTTD and MTTR through AI-assisted workflows\nDeployment Automation\nDesign and maintain AI-enhanced CI/CD pipelines with AI-driven deployment risk scoring\nImplement progressive delivery with canary releases, blue-green deployments, and automated rollbacks triggered by AI anomaly detection\nLeverage Gen AI to generate deployment scripts, IaC templates, and pipeline configurations\nSupport production releases, hotfixes, and change implementations for Pega Infinity applications with strong operational controls and risk awareness\nEliminate manual toil by building AI agents for repetitive operational tasks\nAI-Driven Development\nUse GenAI tools (GitHub Copilot, Cursor, ChatGPT) for coding, debugging, documentation, and operations\nDeveloper ownership is non-negotiable. All code, whether human or AI-generated, must be reviewed, tested, and understood before merging\nDesign and develop AI agents for incident response, log analysis, capacity management, and operational automation\nDefine agent goals, tool use, memory, and orchestration logic for multi-step SRE workflows\nApply spec-driven development and continuously evaluate emerging Gen AI tools\nTesting & Quality\nLeverage Gen AI to generate tests, identify coverage gaps, and create edge-case scenarios\nDrive AI-powered security scanning, performance testing, and reliability validation early in development\nModernization & Collaboration\nModernize existing monitoring, alerting, deployment, and support processes using AI-assisted workflows\nIdentify technical debt and propose AI-accelerated remediation strategies with measurable outcomes\nParticipate in architecture discussions, design reviews, code reviews, and production readiness activities\nDevelop and maintain prompt engineering guidelines and custom instructions for consistent AI-assisted development\nShare learnings, patterns, and tooling insights with the broader team\nWhat you have\nRequired Qualifications:\n8+ years of software engineering experience with a strong focus on SRE, DevOps, platform engineering, or enterprise application production support\nBachelor's degree in Computer Science or equivalent\nHands-on technically with ability to architect, review code, and contribute to critical decisions\nProven experience operating systems at 99.99% or higher availability\nHands-on experience supporting and troubleshooting enterprise production applications, including incident triage, root cause analysis, and service restoration\nHands-on experience with Pega Infinity applications in production support, platform operations, or engineering roles\nStrong hands-on knowledge of Pega operational constructs and troubleshooting, including queues, agents, node types, DDS, Kafka, integrations/APIs, and database troubleshooting\nHands-on experience with GenAI coding tools and demonstrated ability to apply them effectively\nProficiency in .NET, with scripting skills in Python, Bash, or PowerShell\nExperience building AI agents for operational automation\nStrong prompt engineering skills with ability to contribute to team-level AI practices\nDeep understanding of HA patterns including active-active, multi-region failover, and distributed consensus\nHands-on experience with observability platforms (Datadog, Splunk, Grafana, or similar)\nStrong experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions or similar)\nProven track record leading RCA efforts and driving reliability improvements\nProven experience diagnosing production issues end-to-end, identifying root cause, and partnering with development teams on corrective and preventative improvements\nStrong CS fundamentals including system design, networking, concurrency, and algorithms\nPreferred Qualifications:\nExperience with Oracle, Mongo, SQL DBs\nExperience with cloud platforms (PCF, GCP, AWS, or Azure)\nExperience with containerization and orchestration (Docker, Kubernetes)\nKnowledge of chaos engineering and ML-powered anomaly detection\nExperience with legacy system modernization\nPega Infinity platform knowledge, including application support, deployment, and troubleshooting concepts\nExperience with Pega platform components and integrations, such as queues, agents, node classification/types, DDS, Kafka, and API-based integrations\nExperience troubleshooting database performance, query issues, and data-related failures in enterprise application environments\nExperience supporting workflow-driven enterprise applications in regulated or high-availability environments\nWhat’s in it for you\nAt Schwab India, you’re empowered to shape your future. We support your growth through meaningful work, continuous learning, and a culture rooted in trust and collaboration - so you can build the skills to make a lasting impact. Our benefits are designed to care for your wellbeing, your family, and your long-term financial security.\nOur base benefits, wellbeing, and total rewards include:\n Competitive compensation and retirement programs including Employee Provident Fund (EPF), Gratuity, and optional National Pension System (NPS) contributions\nRobust Paid Time Off, including annual/privilege leave, sick and casual leave, public holidays, maternity/paternity leave, and more\nComprehensive medical insurance with Outpatient Department (OPD) services, including vaccination, pharmacy, dental, and vision coverage\nAnnual reimbursement for health check-ups and mental health support through our Employee Assistance Program (EAP)\nChildcare (creche) reimbursement for eligible employees\nTransportation and meal benefits that support your day-to-day work\nGroup life, personal accident, and critical illness insurance","description_format":"text","description_chars":10260,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Asset Management & Funds","Online Brokerage & Trading Platforms"],"lifecycle":[{"event":"open","at":"2026-11-06T14:15:07Z"},{"event":"close","at":"2026-11-07T08:19:41Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/charles-schwab-sr-specialist-software-development-engineering-ai-site-reliability-engineer","json_url":"https://alion.io/job/charles-schwab-sr-specialist-software-development-engineering-ai-site-reliability-engineer.json","meta":{"generated_at":"2026-11-11T22:59:27Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":45641,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5314},"rest":"https://alion.io/mcp/rest/get_company?id=5314"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcharles-schwab-sr-specialist-software-development-engineering-ai-site-reliability-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcharles-schwab-sr-specialist-software-development-engineering-ai-site-reliability-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcharles-schwab-sr-specialist-software-development-engineering-ai-site-reliability-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/charles-schwab-sr-specialist-software-development-engineering-ai-site-reliability-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcharles-schwab-sr-specialist-software-development-engineering-ai-site-reliability-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3870580}},{"tool":"search_jobs","arguments":{"company":"schwab.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3870580},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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