Shivam Pandey
Senior Software Engineer @ ServiceNow | Distributed Systems · Payments Infra · GraphRAG & Agentic AI | Java · Python · Kafka · Neo4j · Kubernetes | ex-Lowe’s, PayU
- Role
- Senior Software Engineer at ServiceNow
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Shivam Pandey
Senior backend engineer (6+ yrs) building distributed systems at the intersection of large-scale infrastructure and applied AI.At ServiceNow, I\'m building a GraphRAG-based alert investigation system over a 37K+ KB corpus (Neo4j + ChromaDB), and an agentic AI workflow service with policy-as-code RBAC that translates natural-language operational requests into multi-step backend plans across thousands of customer instances. I also own the cancellation, auto-start, and post-upgrade cleanup subsystems within IUS V2.0 — ServiceNow\'s backend upgrade orchestration platform.Before ServiceNow, I spent 3 years at Lowe\'s Payments & Enterprise Platform building a payment orchestration microservice handling production scale, designing an infrastructure knowledge graph (JanusGraph + ES) that unified CMDB across 8 source systems, and shipping an MCP server with multi-agent orchestration for the SRE platform. Before that, core payments at PayU — fraud detection over ~5M daily txns and 3DS2 across 3 gateways.Stack I work in daily: Java / Spring Boot, Python, Kafka, PostgreSQL, Neo4j, ChromaDB, LangGraph, Kubernetes.I care about: building things that hold up at scale, writing the design doc before the code, and keeping a sharp line between solid abstractions and over-engineering. Open to senior backend & AI infra roles in India / EU. Best ways to reach me: LinkedIn DM, or
Experience
Senior Software Engineer
Oct 2025 — Present
Designed and built a GraphRAG-based alert investigation system integrating Neo4j (knowledge graph with index-free adjacency traversal), ChromaDB (vector store with all-MiniLM-L6-v2 embeddings), and a 37K+ row ServiceNow KB dataset — enabling contextual root-cause analysis through hybrid graph + semantic retrieval with dynamic chunking and incremental upsert pipelines.– Architected an agentic AI workflow service that translates natural-language operational requests into multi-step backend execution plans, integrating with existing upgrade orchestration APIs — with RBAC-enforced agent access control (policy-as-code via OPA patterns) and role-scoped tool invocation.– Owned E2E development of IUS V2.0, a backend upgrade orchestration platform automating the full customer instance upgrade lifecycle; built cancel automation (cutover-window enforcement, break-replication, DBI cleanup, CCF change cancellation), auto-start scheduling (14-day gap rule), automated post-upgrade cleanup, and declarative event-driven email notifications.
Education
Rajasthan Technical University
Bachelor of Technology, Computer Engineering
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