Dong Wang

Engineering Lead

A career built on cloud-native systems across banking, payment networks, and cybersecurity. Certified AWS ML Engineer passionate about distributed systems, AI/ML, and growing high-performing engineering teams.

Selected works

Banking Infrastructure · 2025

Digital Banking Platform

Digital Banking Platform

Greenfield digital banking platform handling ACH transfers at scale — with agentic AI workflows pioneered to accelerate delivery by 45%+.

GoLangKubernetesDynamoDBLambdaclaude code
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AI / ML · 2025

RAG Knowledge Assistant

RAG Knowledge Assistant

AI chatbot using RAG to answer questions over PDF documents with context-aware responses.

PythonLangChainLangGraphOllama
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Payment Network · 2022

Smart Data Platform

Smart Data Platform

Enterprise data platform processing 10M+ daily transactions at sub-100ms P95 latency.

Spring BootKafkaOracleKubernetes
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Debt & Collections · 2020

Agency Network Platform

Agency Network Platform

Cloud-native debt recovery solution connecting lenders and collection agencies via 15+ microservices.

Spring BootKafkaKubernetesAWS
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Cybersecurity · 2016

Network Threat Response

Network Threat Response

Real-time streaming analytics for detecting Advanced Persistent Threats across network traffic.

JavaRedisMySQLSpring
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About me

Dong Wang

I am an Engineering Lead and Cloud-Native Architect with deep experience designing and delivering high-performance distributed systems across banking, payment networks, cybersecurity, and defense. I specialize in translating complex business challenges into scalable, resilient architectures — from greenfield platforms to modernization of legacy systems handling millions of transactions daily.

As a technical leader, I have guided cross-functional engineering teams of 15+ engineers, established API-First design standards, and driven company-wide architectural governance. I bring hands-on depth in microservices, event-driven systems, cloud-native infrastructure on AWS, and modern data pipelines — alongside the strategic mindset to align engineering decisions with business outcomes.

I am a Certified AWS ML Engineer with active experience in AI/ML — including LLM orchestration, RAG pipelines, and AI-assisted development workflows. My stack spans GoLang, Java, Python, Spring Boot, Kafka, Kubernetes, and Terraform. I hold a Master's in Information Systems from Virginia Tech and a Bachelor's in Mechanical Engineering from Shanghai University.

Experience

Seasoned engineering leadership across banking, payment networks, cybersecurity, and AI — always focused on scale, reliability, and team growth.

2025 — Present
Banking

Capital One

Sr. Software Engineer
  • Founding engineer on a greenfield digital banking platform orchestrating ACH transfers and critical financial operations at scale.
  • Drove API design excellence establishing RESTful standards and publishing reusable API specifications across microservices.
  • Accelerated development velocity by 45%+ by pioneering agentic orchestration workflows using Claude.
GoLangTypeScriptClaude CodeAWSDynamoDBLambda
2022 — 2025
Payment Network

Mastercard

Principal Software Engineer
  • Spearheaded architectural modernization of Smart Data platform — 10M+ daily transactions at sub-100ms P95 latency.
  • Championed API-First strategy accelerating time-to-market by 25% and reducing client onboarding time by 30%.
  • Partnered across 3+ engineering teams to deliver enterprise-grade systems and improve customer satisfaction by 25%.
Spring BootKafkaOracleKubernetes
2016 — 2022
Fintech / Cloud Migration

FICO · Jonas C&R

Principal Software Engineer
  • Led end-to-end technical delivery of cross-program initiatives valued at $1.2M across 15+ microservices.
  • Architected cloud-native debt collection platform connecting lenders and agencies for optimal recovery.
  • Mentored 15+ junior and mid-level engineers, improving code quality scores by 35% and reducing technical debt by 25%.
Spring BootKafkaKubernetesAWSPython
2012 — 2015
Cybersecurity

McAfee

Sr. Software Engineer
  • Built Network Threat Response (NTR) — real-time streaming analytics for detecting APTs across network traffic.
  • Designed Redis middleware for high-performance inter-subsystem data exchange.
  • Re-architected frontend as a full SPA, significantly reducing page load time.
JavaRedisSpringKafkaElasticsearch
Tech Stack
PythonJavaGoLangKubernetesAWSPostgreSQLRedisKafkaDockerTerraformLangChainPyTorch

Let's build something
that matters.

Whether you're scaling an existing system or building from scratch, I'd love to hear about your challenge.

Dong Wang

Dong Wang

Engineering Lead & Cloud-Native Architect