Backend & Infra Engineer

Overjoy is an AI-native sales company for SMBs. We began as a sales platform for consumer brands, then expanded to running the full sales process end-to-end and selling the outcome.

Every consumer brand needs a wholesale department: someone to find the right retailers, reach out, close the account, and keep it reordering. For most brands that department is too expensive to hire. Overjoy runs it for them with people, AI agents, and the software we spent years building for exactly this job.

Over 800 brands like Nature's Path, Milk Bar, and Simply Gum use Overjoy to grow wholesale revenue.

We're backed by Bessemer, OSV, Floodgate and founders of Thumbtack, Care Rev, Ando, and Unsupervised — and 6 of our own customers invested after using the product.

We're hiring a Backend & Infra Engineer to co-own the backend systems and infrastructure foundations that power Overjoy at scale.

This is a high-leverage, foundational role focused on reliability, scalability, and data integrity. You'll work closely with the founding team to design and operate the systems everything else depends on: data ingestion pipelines, background processing, database infrastructure, and the AI agent infrastructure at the core of the product.

There is real market pull for our services offering, and every new brand we take on means more pipelines, more agents running around the clock, and more data that has to stay correct. That puts real pressure on all of these systems. Your job is to keep the platform fast, correct, and operable as load and complexity grow.

Stack: Python
· FastAPI
· PostgreSQL
· Elasticsearch
· Temporal
· Dramatiq
· GCP
· Redis
· Pydantic AI
· Logfire

• Ingestion pipelines. Own and re-architect our high-volume webhook and multi-stage enrichment pipelines — retries, ordering, idempotency, replay — so they stay correct as volume grows.

• Background processing and queues. The job queues and scheduled work behind our critical features (Dramatiq, Temporal) — throughput, retries, and failure isolation.

• AI agent infrastructure. Durable execution for long-running agents (Temporal), real-time agents, and the observability and evals — offline and online — that keep them debuggable and improving. These agents do work a customer is paying for, so an agent that stalls is a missed order, not a degraded feature.

• Database operations and performance. Schema design, migrations, query tuning, connection pooling, vacuums — keeping Postgres fast and healthy in production under growing load.

• API reliability and observability. Uptime, latency, and error rates for the API that powers the product — plus the logging, metrics, alerting, and incident response that keep critical systems reliable.

• Product-facing backend. End-to-end ownership of new features in critical areas like automations, CRM, and integrations.

• Developer experience. Improve CI, tooling, and devops — including agentic automations that take toil off the team — so everyone ships quality product and code, faster.

• You've built and owned data-ingestion or event-driven systems in production at scale.

• You have strong systems-engineering foundations — async, queues, background jobs — and reason clearly about failure modes, retries, idempotency, and data correctness.

• You have solid database operations and performance-tuning experience.

• You've owned reliability and observability for critical backend systems — logging, metrics, alerts, on-call.

• You ramp fast on unfamiliar codebases, become a credible reviewer quickly, and can diagnose production issues with minimal context.

• You hold a high bar for quality — in your own code, in what you review, and in what you let ship — without losing pragmatism about speed.

• You want real ownership — you…