Senior/Staff Software Engineer
First seen by Alion on Oct 15, 2026.
Architecting, building, and launching complex, multi-step AI agents that our customers use to digitize their ops workflows and save millions of dollars per year.
Integrating with 3rd-party providers of lending services APIs to generate documents/disclosures, produce automated underwriting results, or prevent fraud.
Architecting, building, and launching the next generation of our job processing infrastructure on AWS to make Loancrate's back end more observable and reliable.
Nearly all of our code is written in TypeScript. We use React on the frontend, Node/Express on the backend (running inside Docker), GraphQL/Apollo on both sides, and Postgres as our database. We use AWS (ECS, RDS, ElastiCache, Kafka, ElasticSearch, and more) and manage all of our infrastructure with Terraform.
We believe that high engineering velocity drives high product velocity (and, in turn, our success as a company). Keeping this in mind, we've invested heavily in creating a great developer experience that enables engineers to ship fast. Some highlights of our stack:
End-to-End Type Safety - We generate TypeScript types from our Postgres and GraphQL schemas so that when we change our database schema we see type errors in any incompatible frontend React components.
Full-Stack Code Sharing - Our build tooling supports seamless sharing of TypeScript files between the client, server, and other packages in our mono-repo so that we never have to define functions or configuration values twice.
Reproducible Infrastructure - We've used Terraform to manage 100% of our infrastructure since day 1 and have configured our CI pipeline to automatically deploy temporary staging environments for every pull request.
First Class Testing Utilities - We have a comprehensive library of utilities that mock production-like data and feed automated end-to-end, integration, and performance tests. Our wide-ranging test suite allows us to move fast while maintaining nearly perfect uptime.
(It's okay not to have all of these things - these are just some skills we are excited about!)
Familiarity with modern AI product development lifecycles (evals, experiment design, dataset curation, etc). We don't just build AI chat bots. We wrangle non-deterministic LLMs into reliable mission-critical systems.
A constant and keen eye for security risks - we store and display some of people's most sensitive personal data and need to keep it safe!
A desire to be product-oriented, from thinking through the product implications of what you're building to contributing your unique ideas of how to improve the product.
Ability to develop readable, maintainable, and effective software architecture patterns that support use of our product by various enterprise customers.
Excitement to mentor less senior engineers in both hard and soft skills.
SRE-oriented mindset for developing infrastructure that's reliable, observable, and requires minimal toil to maintain.
Experience scaling high-throughput distributed systems in the cloud. Bonus points if you're experienced with infrastructure-as-code solutions like Terraform or CloudFormation!
Ability to develop full-stack web app features from design through deployment.
Experience designing and scaling complex relational DB schemas, as well as figuring out performant ways to store, retrieve, and update such data. Home loans have thousands of data fields.
Requirements Role requirements Seniority
7 - 25 years of experience as a Staff/Senior Software Engineer with full-stack web app development from design through deployment. Minimum 5 years of being a Senior-level engineer
Work experienceWorked at a tech company wheresoftware was the product (high-growth tech startups like Ramp, not non-tech industries like retail banking)
Experience inhigh-growth tech startups/companies (VC-backed or FAANG)
Designing and scaling complex relational DB schemas
Fintech companies Hard skillsStrong proficiency in TypeScriptwith clear examples of complex system/products they've built hands-on recently on their resume
Scaling high-throughput distributed systems in the cloud with AWS and Terraform
React on the frontend, Node/Express on the backend (running inside Docker), GraphQL/Apollo on both sides, and Postgres as our database.
Familiarity with modern AI product development lifecycles (evals, experiment design, dataset curation, etc).
SRE-oriented mindset (reliable, observable, low-toil infra)
Benefits Equity Competitive
Originally posted on Himalayas