Zapier's Workflow Zone needs to scale the capabilities, reliability, and intelligence of its core product experience to meet the increasing demand from millions of businesses globally who depend on Zapier to automate critical workflows.
Requirements
- Strong backend experience with Python building reliable, scalable, and observable distributed systems.
- Experience with infrastructure observability tooling (e.g. Databricks, Looker, Grafana, Graylog), combining data engineering skills with a data-driven approach to reliability and team culture
- Experience architecting, building, debugging and operating distributed systems at scale is essential.
- Familiarity with AWS primitives, including S3, SQS, Lambda, RDS, etc.
- Familiarity with relational databases like PostgreSQL or MySQL, and the ability to model, query, and optimize data effectively
- Experience designing and consuming RESTful APIs, building event-driven systems, and working with data integrations across services
- You’ve used AI tooling for work or personal use. You explore new tools, workflows, and ideas to make things more efficient, and are eager to deepen your understanding of AI and use it regularly.
Responsibilities
- Develop and maintain Zapier’s execution engine, scaling it to handle millions of daily runs
- Improve system performance, reduce latency, and strengthen failure handling
- Design and implement execution primitives that power reliable automation
- Collaborate across infrastructure, product, and platform teams on core system design
- Design, implement, and scale Zapier’s execution engine to support millions of daily task runs with high reliability and low latency.
- Optimize system performance through improved queuing strategies, latency reduction, and stronger fault tolerance.
- Build resilient distributed systems on AWS, with a focus on throughput, failover, and degradation handling.
Other
- Collaborate with brilliant people, use the latest tools, and leverage the flexibility of remote work.
- Your work will directly fuel our customers’ success, and as they grow, so will you.
- Collaborate with infrastructure, product, and platform teams on system design, cross-cutting features, and long-term architecture.
- Participate in on-call rotations and own time-to-execution SLAs ensuring fast and reliable task initiation across workflows.
- Proven ability to lead complex technical projects—owning design decisions, balancing tradeoffs, and guiding implementation across multiple contributors
