Staff Engineer - Distributed Systems

the company is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, the company supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.

To date, businesses operating on the company have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure  centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.

Behind the platform, the company powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.

Our people

With over 2,000 team members across 10+ countries, the company operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.

Our impact

Every month, the company enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.

Learn more about us on our You Tube Channel or Blog Posts

Thousands of pods. 50+ kinds of deployments. Four databases. Three teams shipping fast. And until now, nobody whose whole job is the system itself.

Our teams are excellent at building products. Each service has owners, each feature has engineers, each database has experts. What we don't have is the person who holds the entire distributed system in their head, who sees that the retry policy in one service and the queue configuration two hops away are, together, a cascading failure waiting for Black Friday.

That's the seat. Your job is to find the failure before it finds production.

You start with Workflows, the company's automation engine, and one of the largest systems in the company: 3.1 billion enrollments and 21.5 billion action executions every month, traffic peaking at 28,000+ requests per second, running across thousands of pods on GCP with Pub/Sub, Cloud Tasks, Redis, and multiple database engines underneath. From there, your blast radius grows, into Conversations (2.6 billion messages a month) and a brand-new Ticketing system being built right now, where you get to make sure it's born right instead of fixed later.

This is not an architect role where you draw boxes and hand them to someone else. And it's not a feature role where you own a backlog. It's the role in between that most companies never create, and most staff engineers spend their careers wishing existed.

• Own the architecture health of a billion-scale distributed system, its failure modes, capacity limits, consistency guarantees, and the interactions between 50+ deployments that no single team can see
• Approve critical-path designs. Changes that touch the system's core go through you, not as bureaucracy, but as the person accountable for the whole staying sound. When there's a disagreement, you make your case on merit
• Hunt gaps proactively, single points of failure, unbounded queues, missing idempotency, thundering herds, quiet data-loss windows, and drive the fixes before they become incidents
• Build the parts nobody else can. No sprint tickets. You prototype the risky…