Manoj Kuppam

Leading enterprise SRE transformation for systems supporting 80M+ customers and 6M+ small businesses across 4,800 branches

Key Objectives:

• Leadership and Strategy (Defining SRE strategy, quarterly and annual planning, live site reviews, resolve conflicts)
• Observability (YBIYRI framework, Rel360 – CUJ, AIOps – Z-score, Davis AI, toil reduction)
• Resiliency Improvement (Architecture reviews, FMEA)
• GT SRE (Mentoring and Training global SRE talent pool)

Landings:

• Architected and implemented unified observability platform providing single-pane-of-glass visibility across infrastructure, applications, network, and business KPIs, reducing MTTD by 45% and MTTR by 38%
• Led implementation of AI-driven observability using Dynatrace Davis AI for predictive anomaly detection, reducing critical incidents by 30% through thematic analysis and proactive identification
• Productivity improvement by automating the routine tasks and reducing toil – automated the branch resiliency data and alerting timely to identify branch teller issues upto 4 hours ahead with auto-detection.
• Led and build YBIYRI framework for consumer business and core banking business supporting the observability improvement and Mission Control resiliency assessment through FMEA assessments.
• Gamified CUJs using scoring frameworks to train global talent pool on the 6 dimensions of reliability engineering – Observability, Optimal Alerting, Test coverage, Quality release, Idempotency, Incident Management

Established and scaled enterprise SRE practice from ground up for $34B healthcare leader's digital transformation

Key Objectives:

• SRE Strategy (Establish SRE CoE)
• Observability Implementation (Ecommerce modernization program – MK SRE Scoring Framework, end-end monitoring, Finops – cost optimization and tool consolidation)
• Resiliency Improvement (Architecture reviews, SRE Runbooks)

Landings:

• Built SRE practice from scratch, implementing comprehensive Observability across Azure cloud, Kubernetes clusters, and legacy on-premise systems
• Created award-winning MK Scoring Framework for observability maturity assessment, adopted as industry best practice and winning 2023 International Titan Gold Award
• Optimized observability costs by 40% through intelligent sampling, data retention policies, and vendor consolidation while improving coverage by 60%
• Implemented distributed tracing across microservices architecture, reducing cross-service debugging time from hours to minutes
• Led team of 15 engineers in observability tool implementation, custom instrumentation development, and runbook automation

Transformed enterprise monitoring from reactive log-based approach to proactive full-stack observability platform

Key Objectives:

• Head of Observability (Modernize monitoring, Implement APM solutions, Vendor selection, Application onboarding, Build unified observability)

Landings:

• Led APM tool evaluation and implementation, selecting and deploying AppDynamics across all enterprise applications, achieving 360-degree visibility
• Pioneered Method Invocation Data Collectors (MIDC) framework for custom telemetry, presented at Cisco AppDynamics Conference to 100+ Fortune 500 companies
• Implemented end-to-end observability for connected car platform, providing real-time insights into API performance and user experience
• Deployed Splunk SignalFx for infrastructure monitoring and ThousandEyes for network observability, creating unified observability ecosystem
• Achieved 100% KPI visibility for executive dashboards, enabling data-driven decision making during critical COVID-19 period

• Designed and led the Salesforce Automation program for customer Kellogg’s moving from paper binder to tablet based route planning and shelf inventory planning cutting down time to market from 2 weeks to 2 days.
• Solution Architecture, Requirements Elicitation, High Level Design, Project and Conflict management, and Finops.
• Building Technical work products.