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Marcus Vance

Staff Software Engineer — Distributed Systems

Education

M.S. in Computer Science (Systems Specialization)2016 — 2018
Carnegie Mellon UniversityPittsburgh, PA

GPA: 3.96/4.0. Research: Distributed Consensus & Fault Tolerance under Prof. David Andersen. Coursework: Advanced Distributed Systems, Storage Systems, Computer Architecture.

B.S. in Computer Science & Mathematics2012 — 2016
UC BerkeleyBerkeley, CA

Honors: Magna Cum Laude. Regents’ and Chancellor’s Scholar. Coursework: Operating Systems, Algorithms, Compilers, Database Systems.

Technical Skills

Programming Languages:C++20, Go, Java, Python, Rust, SQL, Protocol Buffers, Bash
Systems & Infrastructure:Borg, Kubernetes, Google Cloud Spanner, Bigtable, gRPC, Envoy, Linux Kernel, Kafka, Distributed Tracing
Core Expertise:Distributed Consensus (Paxos/Raft), High-Concurrency Architecture, Low-Latency Profiling, Zero-Downtime Migration

Experience

Staff Software Engineer (Cloud Spanner & Borg)2021 — Present
GoogleMountain View, CA
  • Architected distributed multi-tenant write-caching pipeline for Google Cloud Spanner, reducing p99 commit latency from 42ms to 11ms for tier-1 financial and retail enterprise workloads.
  • Led technical redesign of Borg cluster scheduling heuristics across 30+ global data centers, improving fleet-wide CPU utilization by 14% and saving an estimated $32M in annual infrastructure costs.
  • Authored Google-wide architectural best-practice standards for zero-downtime gRPC microservice cutovers, adopted across 40+ engineering organizations.
  • Mentored and sponsored promotion trajectories for 12 Senior and Mid-level SWEs across distributed storage teams.
Senior Software Engineer (Ads Serving Infrastructure)2018 — 2021
GoogleSunnyvale, CA
  • Engineered real-time asynchronous event-streaming engine in C++ and Bigtable processing 14M bid requests/sec under a strict 25ms SLA with five-nines (99.999%) availability.
  • Developed automated anomaly detection and proactive node drainage service for unhealthy worker instances, eliminating 82% of manual on-call paging incidents.
  • Optimized deserialization hot paths in Protocol Buffers compiler runtime, reducing fleet memory allocation overhead by 1.8GB per serving node.
Software Engineering Intern (Borg Core)May 2017 — Aug 2017
GoogleMountain View, CA
  • Constructed automated canary deployment analysis tool analyzing memory and thread-contention telemetry in staging environments prior to production rollout.
  • Implemented benchmark suite measuring IPC socket latency across container boundaries under varying synthetic network saturation loads.

Projects

BorgMon-Lite — High-Throughput Time Series Collector [GitHub]

Open-source time-series telemetry collector in Go modeled on Borgmon whitepaper architecture. Ingests 1.2M metrics/sec with custom gorilla-style chunk compression and sub-8MB steady-state footprint.

DistKV — Raft-Based Distributed Key-Value Store [GitHub]

Linearizable fault-tolerant distributed key-value storage engine implemented in C++20. Implements Raft log compaction, leader lease verification, and Jepsen chaos verification tests.

Professional Summary

Staff Software Engineer at Google with 8+ years architecting planet-scale distributed storage and container orchestration systems. Core contributor to Borg infrastructure, Spanner transaction pipelines, and high-throughput gRPC services serving billions of daily active users.

Patents & Technical Honors

  • US Patent 11,847,219: Dynamic Load Balancing and Replica Placement in Geo-Replicated Distributed Databases (Issued 2023)
  • Google Feat of Engineering Award (2022) — Spanner low-latency cache deployment
  • Carnegie Mellon Dean’s Fellowship Award for Academic Excellence (2016)