Jeff Schumacher
@jeffschumacher
Senior full stack software engineer specializing in scalable backend systems and observability.
What I'm looking for
I am a senior full stack software engineer with 10+ years designing and delivering highly scalable backend systems, distributed crawlers, and data processing pipelines for high-throughput production environments. I build low-latency APIs and multithreaded ingestion workers using Go, C/C++, Java, Spring Boot and drive observability, CI/CD, and Kubernetes practices to maintain reliable services supporting millions of monthly users.
I have a proven track record reducing latency, increasing throughput, and improving reliability—examples include a 37% API latency reduction, a 4x increase in crawler throughput, and raising test coverage to 92% for core services. I mentor engineers, author architecture and runbooks, lead incident response, and continuously optimize systems for performance and maintainability.
Experience
Work history, roles, and key accomplishments
Senior Full Stack Engineer
Monster
Sep 2019 - Sep 2025 (6 years)
Led design and implementation of scalable backend microservices and ingestion pipelines, reducing API latency by 37% and supporting 150% YoY traffic growth while increasing crawler throughput 4x to process 10M+ pages/day.
Front End Web Developer
Monster
Sep 2018 - Sep 2019 (1 year)
Built responsive React UI components and migrated critical modules to TypeScript, increasing user engagement 28% and reducing initial page load time by 42% while raising automated accessibility scores to 96%.
Software Engineer
Sorriso Technologies
Feb 2012 - Jun 2018 (6 years 4 months)
Built Java/Spring billing and self-service systems supporting 500k+ accounts, optimized queries to cut report times 48%, and scaled job processing to handle 200k transactions/day while reducing incidents 71%.
Education
Degrees, certifications, and relevant coursework
Worcester State University
Bachelor of Science, Computer Science; Mathematics
2006 - 2010
Completed a Bachelor of Science with majors in Computer Science and Mathematics, focusing on core computing fundamentals and quantitative analysis.
Tech stack
Software and tools used professionally
Postman
GitHub
Bitbucket
Kubernetes
Jenkins
CircleCI
GitHub Actions
DB
MySQL
PostgreSQL
Spring Boot
.NET
Spring MVC
Redis
Terraform
Jira
Bazel
Gradle
jQuery
Webpack
JavaScript
HTML5
Java
Logstash
Kafka
RabbitMQ
Grafana
Kibana
Prometheus
Linux
Windows
New Relic
gRPC
Elasticsearch
Protobuf
Kafka Streams
JUnit
Mockito
s3-lambda
SQL
Valgrind
Zipkin
Availability
Location
Authorized to work in
Job categories
Skills
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