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 (14)
distributed-tracing10
golang10
opentelemetry10
monitoring10
datadog10
pmm10
logging10
observability10
go10
agent10
stackdriver10
apm-agent10
otel10
profiling10
Programming languages (1)
Github contributions (1)
DataDog/datadog-agent
Jan 2025 - Mar 2025
Main repository for Datadog Agent
Contributions:7 reviews, 3 PRs, 12 pushes in 2 months
golangdatadog-agentagentobservabilitypmm
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