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Matt Jeffcoat

Principal Software Engineer | Distributed Systems & Transaction Platforms
Platform Engineering β€’ Cloud & Compute β€’ Developer Tooling

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πŸ‘‹ About Me

Principal software engineer with 18+ years of experience designing and evolving business-critical platforms where correctness, traceability, and operational reliability are first-class concerns.

My background is in distributed systems, transaction processing, and platform engineering, with a long history of owning complex domains end-to-end β€” from core calculation engines to cloud-native execution pipelines. I tend to work at the boundary between domain-heavy business logic and modern infrastructure, helping teams make large systems more predictable under scale.

I’m most effective in environments where:

  • data integrity and determinism matter
  • failure modes must be understood and contained
  • systems are expected to evolve without constant rewrites

🎯 Areas of Focus

Platform & Systems Engineering

  • Distributed Systems Architecture
  • Transaction & Batch Processing Platforms
  • Cloud-Native Compute (Azure)
  • Platform Modernization & Extensibility
  • Observability & Operational Reliability

Developer Tooling & Automation

  • Internal Platform Tooling
  • Build & Documentation Automation
  • Workflow Optimization
  • System Instrumentation & Diagnostics
  • Testability for Complex Domains

🧠 How I Approach Engineering

I focus on making complex systems easier to reason about:

  • Clarifying ownership boundaries between domain logic and infrastructure
  • Reducing failure blast radius through isolation and idempotent design
  • Designing for operational visibility, not just functional correctness
  • Balancing delivery pressure with long-term system health

I’ve spent much of my career inheriting long-lived systems and helping them evolve safely β€” improving reliability, performance, and maintainability without disrupting the business.


πŸ”¬ Open Source & Research

My public repositories primarily reflect experimentation, learning, and reusable tooling patterns, rather than client-specific systems. I use open source as a way to explore architecture, packaging, testing strategies, and developer experience in isolation from proprietary environments.

In parallel, I maintain private research projects focused on:

  • platform automation
  • system introspection
  • developer productivity tooling
  • large-scale codebase analysis

πŸ“Š At a Glance

  • πŸ—οΈ 18+ years building and operating complex software systems
  • βš™οΈ Deep experience with high-throughput, deterministic processing
  • ☁️ Extensive work in Azure-based compute and data platforms
  • πŸ§ͺ Strong emphasis on testability, observability, and correctness

πŸ“« Connect

I’m always open to conversations around distributed systems, platform engineering, and building reliable software at scale.


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I build systems meant to last β€” not just ship.

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