Daniel (Jawon) Kim · Software Engineer II

Building reliable systems at Azure scale.

I work on distributed backend systems that keep authorization data fresh, resilient, and queryable across regions and clouds.

Based in Seattle, Washington

Focus Distributed systems

Currently Microsoft Azure Core

Explore engineering work Download resume (PDF)

GitHub

Distributed pipeline

54TiB / day

average snapshot input processed

Serving platform

1.8Mrequests / min

average completed request traffic

Feature ownership

1.3Brequests / day

for an authorization feature I drove

What I have worked on

Professional experience

Backend platforms, data pipelines, and operational systems built for reliability and scale.

Microsoft

Software Engineer II, Azure authorization systems

Mar 2022 to present • Redmond, WA

Led migrations from live-fetch workflows to snapshot-backed ingestion and query serving, using side-by-side validation and phased rollout to preserve authorization behavior.
Built reusable distributed stages for copying, partitioning, aggregating, and publishing large data snapshots.
Designed regional ingestion and isolated recovery paths for authorization data that becomes available progressively during cloud deployment.
Drove end-to-end Azure deny-assignment support across full and incremental ingestion, storage, scope-oriented indexing, query APIs, and monitoring.
Implemented deterministic configuration delivery and record-level fault isolation to improve deployment safety and ingestion resilience.

C# Azure Distributed systems Ingestion Disaster recovery Scale-out

JPMorgan Chase & Co.

Associate, Software Engineer

Jun 2018 to Mar 2022 • New York, NY

Developed a Python-based risk management system to execute trades with 80+ clients connected through a firm-provided API.
Implemented automatic RFQ spotting and treasury hedge features in Java to enhance direct client connectivity.
Created Splunk analytics dashboards to visualize live statistics on global RFQ routing results for leadership.
Built a self-updating directory of governed business terms using a Mule server, exposing 7,500+ terms on an internal search portal.
Designed a scalable workflow to import up to 100,000 records into a Collibra data governance platform.

Python Java Splunk APIs Data governance

ROK Army / Joint Chiefs of Staff

Joint Operations Sergeant

Sep 2015 to Jun 2017 • Busan / Seoul, KR

Controlled and translated 60+ fragmentary orders issued monthly across joint services.
Edited and compiled the quarterly Ministry of National Defense intelligence report book for the National Assembly of Korea.
Contributed to the development and standardization of operating procedures across joint operations units.
Managed logistics and administrative operations for a rapid response unit, supporting personnel readiness in Busan.

Academic background

Education

University of Pennsylvania (SEAS)

M.C.I.T. • 2020 to 2022 • GPA 4.0

Master of Computer and Information Technology.

NYU Stern School of Business

B.S. Finance & Data Science • magna cum laude • 2013 to 2019

Computer Science minor. Study abroad: NYU Prague (Fall 2014).

Tools and perspective

Engineering toolkit

Core strengths

Distributed systems Data pipelines Cloud infrastructure Reliability Disaster recovery

Languages & query tools

C# Python Java C SQL KQL MEL

Additional credentials

Passed CFA Level I
Bloomberg Market Concepts (BMC)
MOS Excel 2010 Expert

Interests

A little personality (without going off the rails).

Home cooking Cocktail craftsmanship International travel

Selected work

A closer look at the systems.

The interesting part was rarely just writing code. It was changing architecture while keeping behavior stable, failures contained, and rollout reversible.

01 Platform architecture