Senior Backend Engineer

We’re building a pretty ambitious product. It’s a complex challenge, but doable, and honestly a lot of fun.

Most AI products help individuals save minutes. Stacksync helps companies run their operations. Our enterprise AI is built on years of expertise in connectors, syncs, and workflow orchestration, allowing businesses to automate the processes that directly impact e-commerce, supply chain, logistics, operations.

Under the hood, the product handles deep technical infrastructure: asynchronous jobs, data mappings, approvals, errors, retries, and multi-system orchestration.

What Makes This Role Different

Our extensive suite of connectors and deep expertise in syncs and workflows form the foundation of our enterprise AI. To design, scale, and continuously improve our 'genies,' you will need to:

design highly performant, modular architectures capable of handling high-throughput data streams

build agentic workflows handling real-life enterprise use cases while simultaneously driving architecture improvements across the shared, generic codebase

work with:

queues and event-driven systems

workflows execution engine

large-scale data movement in real time

Postgres-heavy architectures

deep ownership over the internal platforms and heavy infrastructure powering our AI agents from architecture to production

This Opportunity IS for You If

You enjoy difficult engineering problems

You care deeply about system quality and maintainability

You thrive in fast-moving, high-ownership environments

You enjoy scaling distributed systems

You think like a product owner, not just an implementer

You naturally take initiative without waiting for permission

You want to build infrastructure used by real enterprise customers that power critical operations

You are extremely ambitious

You want to work with a very strong technical team

This Opportunity IS NOT for You If

You only enjoy building simple CRUD applications

You dislike operational complexity

You need highly structured environments

You avoid ownership

You prefer maintaining existing systems over building new ones

You think shipping one feature per day is “fast”

You are uncomfortable with ambiguity or pressure

You believe scaling infrastructure is mostly solved already

Tech Stack

PythonGo

React

Postgres

Distributed queues and workflows

⚠️ Apply By Answering ⚠️

What excites you about building infrastructure systems at Stacksync? (2 sentences max)

Rate yourself from 0–10 on:

Python

Go

React

Postgres

Designing real-time systems

For each, include one concrete example demonstrating your depth.

Describe the most technically challenging system you worked on:

Context

Your exact contribution

Why it was difficult

Key learnings

What is one of the biggest risks or bets you’ve taken in your career or life?