Infra Engineer

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  • Finosu
  • New York, NY
  • 4 days ago
  • $125K – $200K
Published
February 13, 2026
Location
New York, NY
Category
Job Type

Job Description

About Finosu

Finosu is an AI-native loan servicer. What does that mean? Well, a servicer handles the communications and payment rails for lenders, think of it as customer support for lenders.

Where does the AI-native piece come in?

Usually, all that communication is staffed by thousands of humans in remote place like the Philippines, India and other English-speaking countries where people are doing arbitrage on cheap English speakers (one co-founder grew up near a couple). Now let’s remove all the humans doing that. Not just from the front-office, but the back office as well. At Finosu, we believe superior customer support comes from removing humans when there is no more bottlenecks on business hours, and everything is compliant default.

Things to Know

We are a start-up and our processes are in flux. Priorities might shift more abruptly than at a more establish company.

  • We’re in office, we have found that collaboration especially in a context-rich field is important
    • If you HAVE to be remote to start, we can work on a plan
  • You will own and be intimate with a high number of things. This will allow you to go deep and truly be the point person for parts of the company. While painful, growth will come from it.

About the Role

This is a infra/product role to start. However, as we scale, it will be more focus on infra. The reason we think it’s good to start 50-50 is because we think that sometimes the best thing to do from an infra perspective involves having a good idea of the business requirements and potentially rearchitecting the product.

In this role

  • Scale our AI agents. Figure out to bypass vendors caps whether by clever orchestration or moving to self-hosting when relevant
  • Identify needless spend from SaaS bloat and cut off unneeded vendors
  • Implement an observability stack so we can understand how each component of the system is doing

Projects people in this role have taken or will take:

  • Migrate from Datadog to Grafana. Dear lord, that saved us so much money, and we would love to do that again in other places
  • K8 optimization. Figure out the optimal number of servers and dynamically scale off certain metrics since CPU and Memory aren’t the bottlenecks
  • Figure out why Postgres prepared statements are causing a memory leak.

About You

  • While we do have a roadmap, we expect you to contribute and push back if you feel there are more important projects to work you. We love tension and conflict if it creates a better product
  • An ability to learn fast, we don’t care about experience as much as slope. The world is changing underneath us, 2 years ago it would be weird if an engineer locked himself in a room and talked to the computer to make software, but here we are…
  • Love observability. A lot of our need comes down to understanding why things happen, so observability is important

About You

  • While we do have a roadmap, we expect you to contribute and push back if you feel there are more important projects to work you. We love tension and conflict if it creates a better product
  • An ability to learn fast, we don’t care about experience as much as slope. The world is changing underneath us, 2 years ago it would be weird if an engineer locked himself in a room and talked to the computer to make software, but here we are…
  • Product minded, do you think the product manager discipline is outdated and engineers should be leading these decisions? While we refuse to comment on things that might get us in trouble in the future, we love engineers who want to make product decisions. In this role, you will be the product manager of the projects you own

Our process is very light.

  • An interview with every technical member of the team
  • A deep dive into a project you’ve done in the past
  • Interview with the CEO

Finosu is an AI-native loan servicer. What does that mean? Well, a servicer handles the communications and payment rails for lenders, think of it as customer support for lenders.

Where does the AI-native piece come in?

Usually, all that communication is staffed by thousands of humans in remote place like the Philippines, India and other English-speaking countries where people are doing arbitrage on cheap English speakers (one co-founder grew up near a couple). Now let’s remove all the humans doing that. Not just from the front-office, but the back office as well.
At Finosu, we believe superior customer support comes from removing humans when there is no more bottlenecks on business hours, and everything is compliant default.

Key Skills
? Key Skills in dark blue have been inferred based on similar industry roles
Kubernetes AWS Postgres Go Flux Datadog Grafana

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