Technical Lead · Senior Software Engineer · Founding Engineer
Build from Zero. Scale to Millions.
I'm Pablo Magnaghi. I build production systems at two extremes: Amazon-scale distributed systems (1.2M events per minute, caching designed for 300K+ TPS) and zero-to-one AI platforms as a founding engineer.
Buenos Aires, Argentina · working in US time zones
- years building production systems
- 12+
- events per minute after a 6x scale-up
- 1.2M
- TPS: the peak a caching layer I built was designed for
- 300K+
- cheaper AI video reprocessing
- 30x
Selected work
Case studies
Three systems I designed and ran in production: the problem, the architecture, the trade-offs and the measured result. Anonymized; employers are listed in About.
3,500+production videos searchable by meaning
An AI video platform, from an empty AWS account to production
Semantic search across thousands of TV-length videos: upload, transcode, enrich with AI models and index, built and run end to end as the founding engineer.
Read the case study →6xthroughput: 200K → 1.2M events per minute
Scaling a time-critical event pipeline 6x
From 200K to 1.2M events per minute on a queue-based pipeline where a late event counts as a failed one.
Read the case study →300K+TPS peak traffic the layer was designed for
A distributed caching layer designed for 300K+ TPS
A self-service cache in front of a critical, read-heavy device-data service: same API, deployed by each client team, correct under expiry storms and upstream failures.
Read the case study →About
Two extremes: make it exist, make it scale
I'm a software engineer with 12+ years of experience. Most recently I was the founding engineer of an AI video platform at Social Dept, which I built from an empty AWS account to production. Before that I spent four years across two periods at Amazon Ring, scaling event pipelines and building distributed caching for device data.
I like the two ends of the spectrum: making something exist, and making it hold up at scale. I care about honest trade-offs, idempotent systems, measurable results and cost as a design input.
I work daily with AI-assisted engineering, and this site is built that way: one Claude agent per area, small tasks, an agent reviewing every pull request, and a human approving the merge.
Skills
- Languages
- AI
- Cloud & Data
Experience
Social Dept · Founding Engineer
Aug 2025 – Jul 2026
Owned backend, cloud infrastructure and AI systems end to end: an AI video platform with semantic search across 3,500+ videos.
Amazon Ring · Senior Software Engineer
Jul 2020 – Dec 2021 · Feb 2023 – Jul 2025
Scaled an event pipeline 6x to 1.2M events per minute and built a caching layer designed for 300K+ TPS.
mmhmm · Senior Software Engineer
Dec 2021 – Sep 2022
Introduced reusable architectural patterns across backend services and raised test coverage to 70%.
Fetcher · Software Engineer → Senior Software Engineer
Oct 2018 – Jul 2020
Led the migration from a PHP monolith to Java and Spring Boot, built RabbitMQ pipelines across six ATS integrations, and mentored six engineers.
Earlier · Technical Lead at Solstice · Mobile and backend roles
2014 – 2018
Led a five-engineer team for Rockwell Automation; mobile and backend work before that.
Education
- University of Buenos Aires (FIUBA)
Machine Learning and Big Data (GPA 10/10) · 2018 - University of Buenos Aires (FIUBA)
Engineering Degree in Software Engineering · 2007 – 2014
Working together
How I can help
Full-time roles
Senior, Staff or Founding Engineer roles at US startups, remote from Buenos Aires.
AWS architecture review
A focused review of an event-driven or serverless system: reliability, cost and the next bottleneck.
AI search pipelines
Semantic search over video, audio or documents, from ingestion to evaluated retrieval.
Contact
Let's talk
Hiring for a Senior, Staff or Founding Engineer role, or need a hand with AWS or AI search? Send a message or email [email protected].
Email me