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LeadFull-timeNode.jsAWSGCPAzureMongoDBMicroservicesGitGoAIAPI
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Staff Engineer – Workflows (Engine) to own and evolve the orchestration layer that powers automation at scale within HighLevel. This role involves rebuilding the engine that drives 80M+ workflow enrollments per day and nearly 1 Billion action executions per day at peak load, focusing on reliability, performance, and clarity.
Key Responsibilities
- →Re-architecture the Workflow Engine from Node.js to Go, creating a modular, high-performance foundation for billions of executions
- →Design orchestration, state, retries, and execution guarantees with clear contracts and isolation boundaries
- →Optimize for throughput-first execution while maintaining strict ordering within each workflow execution context
- →Define interfaces and schemas between Engine, Triggers, and Actions, ensuring consistent, reliable, and versioned communication
- →Partner with SRE to instrument metrics and build replay and diagnostics tooling
- →Own the engine’s runtime, including incidents, RCA, and prevention
- →Set the technical benchmark for clarity, testability, and performance within Workflows and beyond
Requirements
- ✓10+ years of backend engineering experience with deep hands-on work in distributed systems, job schedulers, or orchestration engines
- ✓Advanced proficiency in Go (preferred) and Node.js, with experience writing low-latency, high-throughput microservices
- ✓Strong understanding of testability and isolation principles
- ✓Production-grade database experience (MongoDB, Firestore, or equivalent) with sound data modelling
- ✓Cloud experience (GCP, AWS, or Azure), especially event-driven services like Pub/Sub, SQS, or Cloud Tasks
- ✓Proven record of measurable performance wins
- ✓Strong fundamentals in concurrency, idempotency, ordering guarantees, and fault tolerance
- ✓Pragmatic engineering mindset — simplicity and clarity over abstraction
- ✓Strong applied understanding of design patterns and system architecture principles
