Matt Carter
I'm a Senior/Principal Software Engineer with 15+ years of experience building distributed backend systems, cloud-native platforms, and performance-critical infrastructure.
About
I’m a Senior/Principal Software Engineer with 15+ years of experience building distributed backend systems, cloud-native platforms, and performance-critical infrastructure. I specialize in leading complex technical initiatives, modernizing legacy systems, and delivering measurable improvements in scalability, latency, reliability, and cost efficiency. I blend deep systems programming with modern full-stack and cloud capabilities to ship robust, scalable solutions.
I enjoy mentoring engineers, collaborating across cross-functional teams, and translating creative requirements into architectural patterns that support rapid, data-driven decisions while maintaining a friendly, collaborative culture.
- 18 years' experience
- Joined April 2026
Industry experience
- Media & Entertainment
- Software & Internet
- Retail
More experts in San Diego, United States
Work experience· 4 roles
Architected and delivered core components of Kroger's retail media platform by building distributed auction, targeting, and attribution services in Go, TypeScript, Python, and AWS (EKS, Kinesis, Redis, gRPC, idempotent transaction design, real-time bidding systems, auction algorithms, identity resolution, attribution systems). Led real-time bidding, event-driven microservices, and ML-enabled services to support multi-tenant, scalable workflows, contributing to YoY growth and platform reliability.
Led development of distributed rendering components for MoonRay using C++17, IPC, and Linux-based compute clusters, supporting workloads exceeding 100M+ core-hours per feature. Built end-to-end rendering pipelines across thousands of nodes, optimized performance, and collaborated with artists to translate creative requirements into scalable systems.
Integrated Rust components into large Firefox codebases, improved build CI, and enhanced interop between Rust and C++ using LLVM toolchains. Led performance instrumentation and memory-safety improvements across critical system services, contributing to reliability and security.
Education
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