this seems to translate "we fucked it so hard with trying to vibe code a real thing, your job is to fix it and take all the blame"

https://xcancel.com/fernandaso52511/status/2034984420885540947

Fernanda Souza (@FernandaSo52511)

Senior Backend Engineer (AI + Payments) We’re building a global, API-first payments platform. The core is already live — payments API, ledger, commerce, checkout, dashboards, infrastructure. Much of the codebase has been generated by AI. 💰 $30k–$40k/month · Remote · Contractor We need someone who can look at all of this and say: “this will break in production” — before it actually does. What already exists - Full payments API (PaymentIntents, Refunds, Customers, Charges) - Double-entry ledger with atomic entries - Native commerce engine (Products, Orders, Fulfillment, Inventory) - Hosted checkout, Merchant Dashboard, Admin Portal — all deployed - API Gateway in Go (auth, rate limiting, circuit breaking) - 60+ PostgreSQL tables, strict TypeScript, versioned migrations - Async workflows for webhook delivery and settlement - Terraform managing 183+ AWS resources - CI/CD with smoke tests and automated deploys Your mission Be the last line of defense between code and real money. Concretely: 1. “This will break in production” Identify failure points before they cause downtime — silent crashes, missing restart policies, monitoring gaps, non-recovering processes 2. “This code will cost us money” Double charges, race conditions in the ledger, lack of idempotency, unsafe refund/dispute flows, incomplete reconciliation 3. “This is a security risk” Exposed secrets, missing encryption at rest, misconfigured VPCs, unauthenticated endpoints, injection vectors in AI-generated code 4. “This database will fail” Unsafe migrations, lack of backup/disaster recovery, unindexed queries, broken transactions, schema changes causing downtime Day-to-day - Deep audit of AI-generated backend code (TypeScript + Go) - Review financial flows to identify edge cases that could cause losses - Validate infrastructure decisions and highlight reliability risks - Build integration tests proving critical flows work end-to-end - Ensure observability is strong enough to detect issues in minutes, not hours Stack TypeScript · Hono.js · Drizzle ORM · Go · PostgreSQL (Aurora Serverless) · Redis · Temporal · Docker · AWS ECS Fargate · Terraform · Cloudflare We’re looking for someone who - Has 5+ years in backend engineering, preferably in fintech/payments - Has operated production systems handling real money — incidents, postmortems, on-call - Can audit AI-generated code and spot what AI misses - Has strong intuition for “this will break” before it does - Knows PostgreSQL deeply (transactions, locking, migration safety, disaster recovery) - Has experience with observability (tracing, alerting, runbooks) - Values accuracy over speed — a ledger bug in production is worse than a week of delay Nice to have - Experience with PCI DSS compliance - Familiarity with double-entry ledger systems - Experience with Temporal or distributed workflows - Go for high-performance services - Experience finding (and fixing) financial bugs in production 🔗 Application Form: https://form.typeform.com/to/aQt51Pfi

Nitter

@davidgerard Incredibly low pay rate for that level of job as well - a job that would have paid $2M+ per year and they want it for $360k-$480k lol.

Even when they are doing the 'rah rah we need super skilled important people' thing to try and attract people, they are still like 'but AI means we don't have to pay you much because you are just an AI herder, not a programmer'.

@davidgerard (Also also 'last line of defense, 100% responsibility for everything including all of the money stuff' and they say 'senior' instead of 'staff' - clown shoes)