Matthew Jacobson
Staff Software Engineer at Grafana Labs
Montreal, Quebec, Canada
Summary
🤩
Rockstar🎓
Top SchoolMatthew Jacobson is a Staff Software Engineer in Montreal with 11 years of experience building cloud-native and big-data services, currently shaping alerting and cloud engineering at Grafana Labs. He combines hands-on backend development and DevOps with a strong grounding in database design and data science, enabling end-to-end architecture and reliable production systems. Previously he led cloud data engineering teams at MindGeek and delivered bioinformatics and neuroinformatics web platforms and tooling at the Centre for High-Throughput Biology. An active contributor to Grafana’s alerting subsystem, he has worked on alert instance filtering, notification improvements, and integration testing for one of the most widely used observability platforms. Matthew pairs a rigorous math-and-physics education from McGill with practical experience in release automation, backup and recovery, and operationalizing large-scale computation pipelines. Colleagues describe him as a pragmatic architect who still enjoys rolling up his sleeves to improve core backend systems.
12 years of coding experience
10 years of employment as a software developer
DEC, Pure & Applied Science, DEC, Pure & Applied Science at Marianopolis CollegeBSc, Joint Honours Mathematics & Physics, BSc, Joint Honours Mathematics & Physics at McGill University
English, French
Github Skills (8)
alertdialog10
go10
alertview10
alerts10
testing9
apidoc9
api9
json7
Programming languages (7)
Github contributions (5)
grafana/grafana
Dec 2021 - Jan 2023
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:546 reviews, 51 commits, 415 PRs in 1 year 1 month
Contributions summary:Matthew primarily contributed to the alerting features of the Grafana project. They focused on implementing and modifying features related to alert instance components and notification systems. Their work included adding label and state filters to alert instance components and improving the notification title with resolved counts. The user also participated in integration testing, ensuring the stability and functionality of the alerting system's backend components.
data-visualizationelasticsearchinfluxdbobservabilitypostgresql
PavlidisLab/gotrack
Nov 2014 - Jun 2018
Web-based system and database that provides access to historical records and trends in the Gene Ontology and GO annotations
Contributions:4 releases, 486 commits, 137 pushes in 3 years 7 months
databasego
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