Rohit Diwakar

About Rohit Diwakar

Site Reliability Engineer with 15+ years of experience in architecting, scaling, and securing high-availability distributed systems on public cloud (AWS, GCP, Azure). Expert in Python, with a proven track record of leading organization-wide resiliency initiatives and reducing operational toil through automation. Passionate about using data-driven experimentation (chaos engineering) to improve reliability, performance, and cost-efficiency, to mentor and coach engineers, and communicate complex technical solutions to diverse stakeholders.Core SRE (Cloud) Tech Stack - AWS, Python, Event Driven Design (Step Functions, SNS, SQS, Lambdas, DynamoDB DB-Streams), Python, Resiliency (Fault Injection Service, Resilience Hub, Gremlin, Litmus), ECS, EKS, Docker, CICD Pipelines (GitHub Actions), APM (Dynatrace, Grafana, Prometheus) Deployment and release management. Automated Infrastructure Provisioning.AI Tech Stack - LangGraph, Google-ADK, LangSmith, Opik, adk-evals, n8n, Cursor AI (with Taskmaster), Claude Code, AWS AI Integrations (Connect, Q Business), Bedrock ecosystem (Knowledge Base, Evaluations, Metrics). GCP, Vertex AI Agent Engine (basics), GCP Cloud Run.Championed Organization-Wide Resiliency: Led initiative to improve reliability posture of the Chase Travel platform (internal). Designed and implemented an event-driven Resiliency Automation Framework from scratch using AWS Fault Injection Service, Step Functions, and DynamoDB DB Streams. This initiative automated load/chaos injection, monitoring, and reporting, saving engineering hours, eliminating toil, and providing system generated compliance artifacts.Partnered with multiple product and platform teams to define new infrastructure and application alarms based on insights from automated resiliency experiments, embedding reliability into the development lifecycleDelivered Production AI Solutions to Enhance Reliability & Customer Experience:For L1/L2 Engineers (MTTR Reduction): Built RAG system providing real-time insights from past RCAs by integrating AWS Bedrock Knowledge Base, Confluence, and AWS Chatbot/MS Teams. Increased recall and precision significantly through structured query generation and data engineering techniques alone, using offline LLM, accelerating root cause analysis during incidents.Architected real-time RAG system integrating AWS Bedrock, Amazon Connect, and Salesforce that reduced mean call handling time (from 15 to <11 mins) and improved CSAT (to 72%) and FCR (to 65%) scores by providing agents with live insights during service calls.

Experience

1. Vice President Cloud Architect Chase Travel Platform

   JPMorganChase

   Aug 2022 — Present

Skills

• Wamp
• Bugzilla
• Highcharts
• Unity3d
• Knockoutjs
• Lightroom
• Blender
• Bootstrap 3
• Team Foundation Server (Tfs)
• Aptana
• Mongodb
• Material UI
• React Native
• Durandal
• Svn
• Lodash
• Perforce
• Pencil Plugin
• D3js
• Python
• Electron Js
• Npm
• Brackets
• Github Desktop
• Amd
• Svg
• Jira
• Balsamiq
• Webpack
• Moqups
• Angular 2.0
• Es6
• Native Script
• Gulp
• Requirejs
• Bootstrap 4
• Angular
• Atom
• Nginx
• Babel