Build the infrastructure layer powering enterprise AI automation
Enterprise software integrations are still painfully fragile: workflows break silently, APIs fail unpredictably, systems drift out of sync, and teams waste countless hours maintaining infrastructure that was never designed for real-time operations at scale. For years, most data companies focused primarily on analytics because the underlying integration and operational tooling was too broken, unreliable, or difficult to use for powering critical business operations in production.
You can think of Stacksync as Zapier for enterprise systems, but built for real-time and mission-critical operations at scale.
Our platform powers mission-critical operations:
supply chains
manufacturers
logistics companies
healthcare organizations
financial operations
ecommerce businesses
enterprise sales organizations
When our systems run, orders move, invoices sync, warehouses operate, contracts renew, revenue gets recognized, and business workflows execute in real time.
What Makes This Role Different
We solve difficult distributed systems problems involving:
real-time synchronization
queues and event-driven systems
distributed workflows
large-scale data movement
API orchestration
Postgres-heavy architectures
unreliable third-party systems
EDI and enterprise connectivity
high-throughput infrastructure
This is not a typical CRUD SaaS role.
We are building a category-defining infrastructure company and are looking for strong product-minded engineers who want ownership over real systems, internal platforms, and infrastructure products from architecture to production operations.
This Opportunity IS for You If
You are a true full-stack engineer
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
What You’ll Work On
Examples of problems we solve:
real-time bi-directional synchronization
distributed retries and failure recovery
queue scaling and orchestration
API rate-limit management
large-scale Postgres systems
workflow execution engines
observability and debugging tooling
schema propagation systems
enterprise connectivity infrastructure
high-volume data movement pipelines
Tech Stack
Python
React
Postgres
GCP / AWS / Azure
Distributed queues and workflows
What We Value Most
Ownership
Technical depth
Execution speed
Product thinking
Communication clarity
Reliability
Ambition
Fast learning speed
⚠️ Apply By Answering ⚠️
What excites you about building infrastructure systems at Stacksync? (2 sentences max)
Rate yourself from 0–10 on:
Python
React
Postgres
Cloud infrastructure (AWS/GCP/Azure)
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?