Ramp Engineering Blog
engineering.ramp.com · Company blog · on HN since 2021
The engineering team at Ramp, a fintech company, writes about Elixir, machine learning, Python tests, UI components and code quality.
What HN saysHN commenters point to it as a useful engineering blog, and Ramp staff link posts on Elixir use, transaction embeddings and model routing.
15HN people shared it
6linked it in comments
13stories submitted
146story points
3 months agolast shared
2021people per year2026
Most-shared posts
- 1Elixir at Ramp3 people · 127 points · first shared 2021 · 42 comments on HN
- 2Engineering Principles – Ramp Engineering Blog1 people · 4 points · first shared 2022 · discussion on HN
- 3Ramp Accelerated Machine Learning Development to Simplify Finance1 people · 4 points · first shared 2023 · discussion on HN
- 4Bootstrapping a UI Component Library1 people · 3 points · first shared 2021 · discussion on HN
- 5Faster Python Tests1 people · 2 points · first shared 2021 · discussion on HN
- 6Improving Retrieval on Ramp with Transaction Embeddings1 people · 1 points · first shared 2024 · discussion on HN
- 7Abstraction Engineering at Ramp1 people · 1 points · first shared 2024 · discussion on HN
- 8What Matters, Suffers (narratives on code quality)1 people · 1 points · first shared 2023 · discussion on HN
- 9Increasing velocity by modernizing a Python codebase1 people · 1 points · first shared 2024 · discussion on HN
- 10Learnings from Building and Scaling Ramp's Growth Engine1 people · 1 points · first shared 2023 · discussion on HN
- 11Finding the right balance of speed and security through just-in-time access1 people · 1 points · first shared 2023 · discussion on HN
- 12Transaction embeddings1 people · first shared 2025
- 13Why we built our background agent1 people · first shared 2026
- 14Homepage1 people · first shared 2025
- 15Thompson sampling model routing1 people · first shared 2026
What HN people wrote when they linked it
farai89 · 2025-08-11
This is great. Would be good if you add RAMP also, have found the engineering blog useful. https://engineering.ramp.com/
srpablo · 2023-05-18
Hi! Have we met?
Elixir has been great for our Authorization server. I really believe in the BEAM for high-uptime cases, and love a lot about Ecto's design as an ORM. That said, I only felt comfortable bringing Elixir to Ramp because I'd already built ~3 Pheonix projects before joining, and had a decade on other Erlang projects. I make a light reference to it in a few places in the article, but I think introducing Weird Tech is very, very easy to mess up and most people would be better off not doing it.
I lead with that in my other article that made it to HN, on strategies for learning exotic tech https://morepablo.com/2022/09/so-you-re-using-a-weird-language.html
More on BEAM at Ramp and why I like it https://engineering.ramp.com/elixir-at-ramp
Me comparing/opining Ecto and SQLAlchemy, the two ORMs at Ramp https://www.youtube.com/watch?v=5Ep9CDXUHNU
It's been running Authorizations for 4 years and had remarkable good mileage.
zackfield · 2026-08-19
check out some of our work in this area
https://engineering.ramp.com/post/thompson-sampling-model-routing
https://x.com/RampLabs/status/2087163448513765449
yunyu · 2025-07-22
We solved this at Ramp on the expenses/AP side with an agentic RAG implementation and a custom embedding model, backed by D&B/Google/user-submitted corrections.
If curious, details here:
https://engineering.ramp.com/post/transaction-embeddings
https://engineering.ramp.com/post/fixing-merchant-classifications-with…
sarthak_chauhan · 2025-04-01
cancan · 2026-06-01
Modal | Software Engineers (Product, System, SDK) | SF, NYC (ONSITE) | Full Time | modal.com
Modal builds the serverless cloud used by many of the most popular AI companies you've heard of. People use Modal for inference, training, batch operations and also, sandboxes. A good example is the Ramp Inspect tool, that was built on Modal sandboxes. https://engineering.ramp.com/post/why-we-built-our-background-agent — We also recently passed over a billion sandboxes created and on our way to 2B soon.
I am one of the hiring managers here, hiring for the Product Engineering team that builds the observability tooling for our developers. Modal is the cloud for many of our customers and we help them reason about what's happening in their systems, help them expand their use and generally have a good experience.
If you are interested in a product engineering role, please feel free to reach out directly via email at [email protected] with a recent resume. This role is NYC or SF based and is on-site, so please mention your current location to be considered. I am especially looking for folks with deep ClickHouse, Postgres, Redis, and Python experience.
Please mention how you have used Modal or similar tools in the past and link to a recent resume. Resumes and emails that are clearly human-written will go to the front of the line. I wrote this by hand, so can you. Or can you?
Product Engineering Role: https://jobs.ashbyhq.com/modal/a4b8b2b6-5d0c-4ba6-9256-b84be84fb79e
For all other roles,…