Engineering Executive · Fintech · AI Infrastructure

Arpit Sharma

17 years directing engineering organizations and shaping technology strategy — across payments, FX trading, and AI infrastructure. My focus is on scaling global platforms, managing risk, and aligning teams to deliver measurable business outcomes.

17
Years
PayPal · Citi · Lloyds · BT · Samsung
200+
Countries
PayPal Consumer platform reach
99.999%
Availability
Five nines · ≈5 min/year downtime
$6M
Revenue Recovered
Via CDN edge-logic redesign
70%
Dev Productivity ↑
Via GenAI tooling · agentic workflows
30+
Engineers Scaled
Across managers & senior ICs
Built at

The intersection of systems, reliability, and teams.

Systems

Directed the engineering of PayPal's autonomous AI Agent platform powering consumer experiences across 200+ countries. Sponsored Citi's algorithmic trading PWA with sub-120ms P99 latency. Guided the architecture for Lloyds' FX streaming solution at sub-10ms execution under live market conditions.

KafkaAWSMicroservicesLangGraphRAG
Reliability

Sustained 99.999% platform availability across PayPal's consumer payment infrastructure. Incident command procedures with RTO under 10 minutes, RPO under 2 minutes. Quarterly disaster recovery rehearsals across AWS multi-region deployments.

SOXPCI-DSS L1FCAMiFID IIGDPRRBI
Teams

Scaled high-leverage engineering teams and re-architected organizational design. Established competency frameworks adopted across PayPal India's Consumer org. Accelerated delivery velocity and reduced time-to-hire by 35% while building robust succession plans and leadership standards.

Org DesignLevellingSuccessionP&L

Selected Work

01

Recovering Revenue at the Edge

Identified a strategic data visibility gap across 100M yearly consumer requests. Directed the engineering of a segment-specific CDN edge-logic solution that closed the gap, recovering $6M in annualised revenue and streamlining time-to-market by 96%.

PayPal · 2023–Present
02

Maintaining 99.999% Availability

Governed the reliability architecture for consumer payment infrastructure across 200+ countries to sustain 99.999% availability. Institutionalized enterprise-grade incident command procedures, regular DR rehearsals, and resilient AWS multi-region designs, keeping P99 API latency below 200ms.

🏆 PayPal Highest Availability Award 2024-25
03

Scaling GenAI Workflows

Led the enterprise adoption of production-grade agentic workflow orchestration and LLM evaluation guardrails into the consumer platform. This strategic initiative lifted developer productivity by 70% through automated testing and intelligent PR reviews.

AI Agents · LangGraph · LLM Ops
04

Monolith to Microservices at Citi — While Staying Regulated

Directed a large-scale cloud modernization at a global bank inside SOX technology controls, PCI-DSS Level 1, and CCAR data integrity requirements simultaneously. Overseen the migration of Citi's monolith onto OpenShift and AWS with a full SRE observability stack — achieving 99.95% availability SLA and P99 latency below 120ms for payment-critical services.

🏆 Cloud Migration Award — Citi 2022
05

Sub-10ms FX Execution at Lloyds, Under MiFID II

Delivered a real-time cross-currency conversion streaming solution for Lloyds' front-office FX trading desks — achieving sub-10ms P99 execution latency under live market conditions, within MiFID II pre and post-trade reporting obligations and FCA conduct rules. Built the firm-wide contract-driven API standards.

Lloyds Bank · London · 2016–17

17 years. Fintech, banking, and consumer platforms.

2023–Present
PayPal
Engineering Head · Consumer & Marketing Technology Platforms
Pune, India
🏆 Highest Availability Award 2024-25
2017–2023
Citibank (Citi)
VP of Engineering · Payments & Analytics
Pune, India
🏆 Cloud Migration Award 2022 🥈 Silver Award UI Innovation 2020
2016–2017
Lloyds Bank
Senior Engineer / Engineering Consultant · FX Trading
London, UK
2009–2016
BT (British Telecom) & Samsung
Full Stack Developer → Engineering Lead
Pune, India
🥇 Gold Award Global Coding Standards 2016

Beyond the day job

📘 Book · Forthcoming

"Take Wrong Decisions"

A leadership framework on counterintuitive decision-making for engineering executives — drawn from 17 years of high-stakes delivery across global financial institutions. The premise: the decisions that feel wrong in the moment are often the ones that build the most durable systems, teams, and organisations.

🎓 Currently Learning
  • MIT — Advanced Program in Technology Leadership 2026
  • IIT Madras — AI & Machine Learning Program 2025
  • DeepLearning.AI — Generative AI with LLMs 2025
  • DeepLearning.AI — AI Agents in LangGraph 2025

Work that got noticed

🚀 Live App
2026 · Frictionless, high-performance web app for goal tracking
🏆 PayPal
Highest Availability Award
2024 – 25 · 99.999% Uptime Consumer Platforms
🏆 Citi
Cloud Migration Award
2022 · Monolith → Microservices on AWS & OpenShift
🥈 Citi
Silver Award for Innovation in User Interfaces
2020 · Mobile & PWA Delivery
🥇 Samsung
Gold Award
2016 · Setting Global Coding Standards

Working on something hard?

I'm interested in conversations around AI infrastructure at scale, engineering org design, high-reliability fintech systems, and counterintuitive leadership. If any of that resonates — let's talk.