Software Engineer at MicroStrategy Tysons Corner, VA

I build systems
people can trust.

Cloud platforms, developer tools, and real-time products engineered for the moments when speed, clarity, and reliability matter most.

Siddharth Singh standing by the Brooklyn Bridge at night 01 / 05 Engineer with a product eye
Based in Virginia Available across the US + remote
Selected impact

Production improvements measured in time, cost, and operational simplicity.

53%

Faster provisioning after decoupling telemetry from install workflows.

75%

Faster application upgrades across production provisioning paths.

70%

Lower environment costs through multi-tenant onboarding.

46%

Lower storage spend through archival and on-demand rehydration.

I work where distributed systems meet product craft: turning complex infrastructure into software that feels calm, fast, and obvious to use.

I like building platforms that feel invisible when they are working well: provisioning that is faster and cheaper, diagnostics that surface issues before teams ask for them, and product surfaces that stay approachable as the architecture underneath grows more complex.

My sweet spot is balancing reliability, developer experience, and delivery speed without treating any one of them as an afterthought.

2023-24

Carnegie Mellon University

Master of Information Systems Management

GPA 4.07/4 · Dean's List · Highest Distinction

2019-23

Vellore Institute of Technology

B.Tech, Computer Science and Engineering

GPA 9.00/10 (4/4 equivalent)

Shipping at scale.
Thinking from first principles.

Enterprise cloud systems and early-stage product architecture.

01

MicroStrategy

Software Engineer

Feb 2025 - Present Tysons Corner, VA
  • Decoupled telemetry from install workflows, reducing provisioning time by 53% and upgrade time by 75%.
  • Built automated diagnostics with daily telemetry, S3 uploads, Lambda anomaly detection, and Microsoft Teams alerts.
  • Created multi-tenant onboarding infrastructure that reduced environment provisioning and maintenance costs by 70%.
  • Implemented S3 archival and on-demand rehydration workflows, reducing storage costs by 46%.
  • Shifted diagnostics to push-based deployments, accelerating release cycles and reducing engineering overhead.
02

Hyphenova

Software Engineer Intern

Jun 2024 - Aug 2024 Hollywood, CA
  • Redesigned backend architecture and database modeling with containerized Supabase, reducing deployment costs to near zero.
  • Built a unified React Native codebase for iOS, Android, and web.
  • Established API infrastructure and early architecture decisions for a scalable product foundation.

Products built from
the protocol up.

Four systems with distinct constraints, interfaces, and reasons to exist.

01 / Remote systems Python + SwiftUI

Remotex

Codex Remote Control

A laptop bridge, stateless relay, and SwiftUI client that bring encrypted Codex session control to the phone with QR pairing, replay, and reconnect-aware transport.

E2EEWebSocketQR pairingReplay
02 / Native tools SwiftUI + PostgreSQL

DaytaBayse

Native macOS PostgreSQL Client

Secure credentials, SSH-tunneled connections, schema exploration, SQL workflows, and flexible export tooling in a clean native interface.

KeychainSSHSQL editorExport
03 / Real-time Next.js + Socket.IO

Buzzer

Real-Time Party Quiz Game

Server-authoritative buzz ordering, mobile-first play, host controls, team scoring, QR joining, and resilient reconnection for high-energy live games.

WebSocketsTeamsQR joinRate limits
04 / Education Hackathon winner

CodEd

Learn, write, and run code online

A React, Node.js, and MongoDB learning platform with secure Judge0 execution across more than 40 programming languages.

A tiny Buzzer experiment

How fast
are you?

Start the test, wait for the signal, then hit the target as quickly as possible. Jump early and the system will call the false start.

Signal Randomized Input Tap, click, or keyboard Goal Break 250 ms
System idle Attempt 00
Latest --
Session best --

Press the target when you are ready.

The toolbox.

Chosen for the problem, not the trend cycle.

A

Languages

Java, Python, Go, Swift, Dart

B

Server side

Spring Boot, gRPC, GraphQL, REST, Kafka, FastAPI, Flask, SQL, Redis, MongoDB

C

Cloud & operations

Docker, Kubernetes, Jenkins, AWS, GCP, Azure, Terraform, Helm

D

Tools & AI coding

Cursor, Copilot, Claude Code, Git, GitHub, Confluence, Jira

Have a hard problem? 06 / Contact

Let's build
the clear answer.