Matthew Leese
Staff Software Engineer at Datadog
Washington DC-Baltimore Area United States
Summary
🤩
Rockstar🎓
Top SchoolMatthew Leese is a pragmatic staff software engineer with over two decades of experience building high-throughput, highly available systems across aerospace and cloud giants. He’s driven monitoring, observability, and operational reliability for large-scale network and edge products at Google, AWS, and now Datadog, launching dozens of zones and streaming pipelines that handle hundreds of millions of records per second. Matthew combines systems-level engineering (ground station data planes, VPC flow logs, bandwidth metering) with strong operational design—creating KPIs, idempotent distributed primitives, and monitoring posture across cross-functional teams. He has deep hands-on experience migrating legacy systems to cloud platforms and integrating complex data flows for real-time and batch consumers. Based in the DC–Baltimore area, he brings a rare mix of aerospace-grade rigor and cloud-scale engineering pragmatism. Outside typical résumés, he often designs solutions that blend monitoring and policy enforcement, not just feature delivery, to reduce operational toil.
1 year of coding experience
21 years of employment as a software developer
BS, Computer Engineering, BS, Computer Engineering at Rochester Institute of Technology
Github Skills (12)
distributed-tracing10
datadog10
monitoring10
logging10
observability10
go10
apm-agent10
otel10
profiling10
hugo7
documentation5
backend5
Programming languages (2)
Github contributions (3)
DataDog/datadog-agent
Jan 2025 - Apr 2026
Main repository for Datadog Agent
Contributions:24 reviews, 3 PRs, 12 pushes in 1 year 3 months
datadogmonitoringgoapm-agentapm-instrumentation
DataDog/agent-payload
Oct 2025 - Oct 2025
Payload format description for communication between the agent and the Datadog backend
Contributions:1 PR, 4 pushes, 1 branch in 2 days
backenddatadog
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