Ritesh Singh

• Spearheaded the “Targeting Service” decision‑tree engine: defined HLD/LLD, implemented tree‑creation algorithms, conflict‑resolution logic, caching layer, and REST APIs—achieving sub‑50 ms p99 layout resolution at 10 M RPM across 10 k+ pages.
• Architected the “Lazy Widget” service: captured requirements, mapped service & gateway workflows, defined batch‑call patterns and failure‑recovery flows, and delivered HLD/LLD for partial lazy‑loading of page components.
• Migrated streaming infrastructure from in‑house Kafka to Confluent Kafka: redesigned event pipelines, enhanced observability, and improved fault tolerance for core services.
• Performed capacity planning & hardware provisioning for sale‑event microservices—modeled peak surges, forecasted compute/storage needs, and validated configurations to guarantee 99.9% uptime.
• Implemented Redis & Aerospike distributed caching layers, cutting read latency by 40% and offloading backend storage.
• Instituted regular code review sessions & coding standards, elevating code quality and reducing production defects.
• Integrated Prometheus & Grafana dashboards, reducing incident response time by 40%.
• Mentored & led a team of 5 engineers, establishing CI/CD best practices with Docker & Kubernetes.

Engineering the next-gen product at the Druva CTO Team.

• Worked extensively on AWS services like EC2, Lambda, EKS, S3, etc.
• Worked on a solution to backup NAS boxes in AWS Glacier to reduce storage.
• Kubernetes cluster backup/restore, monitoring, and deployment, and end-to-end product development.

• Automation of the Hyperflex Web Client to perform different tasks using Python and its libraries.
• Developed library files and a framework for automating things.

• Designed and developed transaction and analytical data structures.
• Developed the front end of the web pages using C# and ASP.NET.