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Back-End Engineer; Go

Job in Northern, Floyd County, Kentucky, USA
Listing for: S27a
Full Time position
Listed on 2026-09-21
Job specializations:
  • Software Development
    Backend Developer
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below

About Rivet

Rivet is an AI-native accounting firm. In less than 3 years, we've built a T500 firm in the US, combining corporate and personal income tax, sales tax, R&D credits, and bookkeeping into a single, all-inclusive experience that eliminates the worst parts of tax season for real businesses and the people who run them.

Our platform is designed to feel invisible: it guides clients through their tax to-dos, automates the drudgery for preparers, and gets out of the way when it's not needed. We measure success in time saved and returns completed, not vanity usage metrics. We run Rivet (the firm) on Rivet (the platform) because owning the stack makes it possible to deeply embed AI into every step of our workflows, far more than our competition will ever be able to relying on third-party/off-the-shelf tooling.

Our team of 75 supports more than 1,300 clients, including some of the most innovative companies in the US — Cursor, Cognition, and Mod Retro — and their executives, investors, and employees.

And while we may have just gotten started a little over two years ago, this isn't our first rodeo:

  • Nick Abouzeid (cofounder & CEO) comes from Ramp, where he ran three of their Growth teams from $100M → $600M in ARR

  • Kyle Christenson (cofounder & Head of Tax) comes from the IRS, where he spent six years as an auditor before leaving to start his own firm over a decade ago

We're well-funded, growing quickly, and sustainable. We've raised over $7M to date, from investors like XYZ Ventures, Susa Ventures, Haystack Ventures, and 40+ executives from Ramp, Anduril, Physical Intelligence, & more.

Why this role is different

Tax software fails quietly. A number lands in the wrong box, nobody notices until a notice arrives, and by then it's a client's problem. The backend is where we decide that doesn't happen.

  • Ownership from first commit to production. Engineers design, build, ship, and maintain their work — no handoffs, no middle-management mazes.

  • Decisions happen at the edge. Engineers talk to clients and tax preparers directly. We optimize for speed and context, not committee consensus.

  • Clear is kind. We surface problems early, talk about tradeoffs openly, and don't sugarcoat. We're kind by being honest, not by being vague.

  • Pragmatic stacks. We pick tools that solve real problems. If it doesn't help us ship faster, safer, or better, we don't use it.

  • Skin in the game. We ship things we'd be proud to put our name on — and if something breaks, we own it and fix it fast.

Our stack

Six engineers today, five languages. Our platform and infrastructure are Go end to end:

  • Platform: Go, as a modular monolith — Connect RPC over protobuf, Go Fx for wiring, sqlc and goose against Postgres, River Pro for background jobs, Watermill for pub-sub over RabbitMQ.

  • Frontend: React and Tan Stack, deployed to Cloudflare Workers.

  • AI and eval: Python, in their own repos — Model Bridge (a gRPC service for AI building blocks) and Tax Bench, our internal eval suite.

  • Legacy integration: a C# Windows agent that drives Drake, one of the tax platforms our industry never built APIs for.

  • Infrastructure: AWS — ECS Fargate, Amazon MQ, AMP, Loki, Tempo — provisioned by Pulumi, itself written in Go.

  • Around the edges: Buildkite for CI, Open Telemetry throughout, Doppler for secrets, Linear for tracking.

What you'll do
  • Own modules in the Go monolith end to end — schema and migrations through Connect RPC surface, including the background jobs and pub-sub flows behind them.

  • Automate systems nobody meant to be automated. Our industry never built APIs. We drive a desktop tax platform through a C# agent, parse filings that arrive as scanned paper, and reconcile ledgers that disagree with each other. This is most of the interesting work.

  • Put AI on the critical path. …

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