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Sathvik Vutukuri / Backend Architect

Engineering for
scale.
Built for reality.

I build microservices, large-scale distributed systems, and frontend applications—integrating AI agents into platforms and the software development lifecycle.

11+ years of engineering experience.
Most recently, MTS I / Backend Architect at PayPal.

Explore my experience Download résumé
25–30MDaily scheduling design capacityLarge-scale distributed scheduler
2M / minApplication throughput design targetDesigned capacity
1B+Platform requests / dayServer-Driven UI
11+ yearsBuilding backend & frontend applicationsIntegrating AI into applications & workflows
01 / Career timeline

A foundation in platforms.
A focus on scale.

From automated issue resolution and security tooling to large-scale payments platforms and production AI engineering.

PayPal

JOINED APR 2022
MOST RECENT ROLE · BENGALURU

Member of Technical Staff I / Backend Architect

Hands-on architecture and delivery across large-scale distributed systems, microservices, customer-facing platforms, full-stack applications, and AI-enabled workflows.

  • Distributed systems: Architected a durable, high-volume distributed scheduler and owned its end-to-end design and implementation, with scalability and failure recovery as core priorities.
  • Server-Driven UI: Led backend architecture and delivery from inception to production for a platform serving 1B+ requests/day across iOS, Android, and Web. Designed version management, schema evolution, and data models for dynamic customer journeys.
  • Platform adoption: Guided cross-functional adoption through an admin UI builder and reusable, multi-tenant components; integrated localization, A/B testing, and personalization signals.
  • Communications: Architected and owned scheduling and delivery capabilities across Push, Notification Center, Critical Alert, and Silent Push for PayPal, Venmo, and Xoom, including work on scalability and multi-region support.
  • Production AI: Built a communications API agent and an MCP server integrated with Claude, exposing platform APIs for natural-language interactions and automated workflows.
  • Agentic engineering: Worked on communication agents using Claude and Gemini, function calling, and prompt orchestration. Pioneered team-wide AI-assisted code generation, complex refactoring, and JUnit/Mockito test development.
  • Frontend ownership: Designed and built a production React portal end to end, used company-wide to schedule and manage communications.
  • Mobile content delivery: Extended server-driven capabilities to native mobile content, with version-aware APIs, reusable content models, and caching to reduce repeated reads.

PayPal SPOT Awards · SDUI · Q3 2022 & Q4 2023

Informatica

MAR 2020 — APR 2022
BENGALURU

Senior Software Engineer

  • SecureStats: Architected and built a security-flaw management platform end to end, spanning backend, frontend, database design, and APIs.
  • Microservices: Co-designed Flaw Management and Notification services within a microservices architecture.
  • Technical mentorship: Mentored five engineers on service design and architecture decisions.

Informatica INFASTAR Award · Q1 2021

Envestnet Yodlee

NOV 2015 — MAR 2020
BENGALURU

Senior Software Engineer

  • Juggernaut: Architected a microservice platform for automated issue resolution on Yodlee PFM, owning end-to-end backend and frontend design.
  • Observability: Designed instrumentation and dashboards using Spring Boot Actuator, Micrometer, Prometheus, and Grafana.
  • Service infrastructure: Built microservice infrastructure with Eureka, Zuul, and Hystrix.

Yodlee Dream Team · Q2 2018 & Q2 2019
Yodlee Spot Awards · Q2/Q3 2016, Q1 2018 & Q3 2019

B.Tech · Computer Science & Engineering
JNTU Kakinada · 2011–2015GPA 7.9 / 10
02 / AI & agentic engineering

From model responses
to useful platform actions.

Production AI engineering built around Claude and Gemini, function calling, tool integration, and prompt orchestration—with platform capabilities exposed through MCP.

01 / AGENTS

Production AI agents

Built agents using Claude and Gemini with function calling and integrated tools. Prompt orchestration connects model interactions into workflows that automate platform tasks.

ClaudeGeminiFunction calling
02 / PLATFORM TOOLS

Capabilities through MCP

Built an MCP server exposing platform capabilities as AI tools, connecting agent workflows to the functionality of existing engineering platforms.

Model Context ProtocolTool integration
03 / ENGINEERING WORKFLOWS

Context-aware assistance

Worked with RAG, agentic workflows, and AI-assisted SDLC to bring relevant context and tool-based assistance into engineering work.

RAGPrompt orchestrationAI-assisted SDLC
Relevant contextModel + orchestrationTools / MCPPlatform workflows
03 / Selected work

Engineering across
the application stack.

Selected areas of impact across distributed platforms, customer experiences, and full-stack applications.

DISTRIBUTED SYSTEMS

Large-scale distributed scheduling

Architected a durable scheduling application for high-volume, time-sensitive workloads. Owned design and implementation with a focus on scalability, resilience, and reliable production execution.

ScalabilityFault toleranceProduction delivery
PLATFORM ARCHITECTURE

Server-Driven UI

Led backend architecture and delivery of a platform serving 1B+ requests per day across mobile and web. Enabled dynamic customer journeys through reusable components and server-controlled UI updates.

Cross-platform experiencesReusable capabilities
FULL-STACK ENGINEERING

Production web applications

Built a company-wide React portal for scheduling and managing communications. Earlier work includes end-to-end security management and automated issue-resolution applications, spanning frontend, backend, data, and APIs.

Frontend ownershipEnd-to-end delivery
COMMUNICATIONS PLATFORMS

Shared capabilities across products

Architected and owned communications backend capabilities across PayPal, Venmo, and Xoom, supporting multiple notification channels and platform evolution for scalability and multi-region support.

Multi-product platformsBackend architecture
04 / Architecture principles

What I optimize for.

The design priorities that connect distributed systems, backend platforms, and agentic engineering.

01

Correctness at the boundaries

Make service responsibilities, API contracts, and state transitions explicit so components remain understandable as a platform grows.

02

Design for the burst

Plan for concentrated demand as well as everyday traffic. Balance performance, scalability, and operational complexity around the application’s workload.

03

Recovery is part of the design

Account for failures and interrupted execution early. Make resilience, recovery, and operational visibility part of production readiness.

04

Make platforms useful to their consumers

Connect shared backend capabilities to the interfaces that need them—from mobile and web experiences to tools used by AI agents.

Observability is an engineering capability.

Experience with instrumentation, metrics, dashboards, and tracing using Datadog, Grafana, Prometheus, Micrometer, and OpenTelemetry. At Yodlee, designed the observability stack around Spring Boot Actuator, Micrometer, Prometheus, and Grafana.

DatadogGrafanaPrometheusMicrometerOpenTelemetry
05 / Get in touch

Have an exciting opportunity?
Let’s connect.

Reach out for exciting Staff, Senior Staff, Principal Engineer, and Backend Architect opportunities across distributed systems, full-stack applications, and AI engineering.

IMMEDIATELY AVAILABLE TO JOIN

7vik.sathvik@gmail.com ↗

+91 81977 48291

Get in touch LinkedIn (opens in a new tab)

Open to Bengaluru, Hyderabad & remote roles · Download résumé (PDF)