HighLevel

Staff Engineer – Workflows Engine

HighLevel

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇮🇳 India

Visit company website
✨ AI Apply
Apply

Job Level

Lead

Tech Stack

AWSAzureCloudDistributed SystemsGoGoogle Cloud PlatformJavaScriptMicroservicesMongoDBNode.js

About the role

  • Re-architecture: Rebuild the Workflow Engine from Node.js to Go, creating a modular, high-performance foundation for billions of executions
  • Core abstractions: Design orchestration, state, retries, and execution guarantees with clear contracts and isolation boundaries
  • Performance model: Optimise for throughput-first execution while maintaining strict ordering within each workflow execution context
  • APIs & contracts: Define interfaces and schemas between Engine, Triggers, and Actions. Ensure consistent, reliable, and versioned communication
  • Reliability & observability: Partner with SRE to instrument metrics (latency, throughput, failure rate) and build replay and diagnostics tooling
  • Operational ownership: Own the engine’s runtime — incidents, RCA, and prevention. Deliver measurable reliability improvements (<1% failures/day)
  • Migration & rollout: Drive dual-run migration with progressive rollout and auto-rollback safety
  • Engineering culture: 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; you design systems that are easy to test, reason about, and extend
  • 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 — reduced p95/p99 latency, improved throughput, or increased reliability
  • Strong fundamentals in concurrency, idempotency, ordering guarantees, and fault tolerance
  • Pragmatic engineering mindset — simplicity and clarity over abstraction for abstraction’s sake
  • Strong applied understanding of design patterns and system architecture principles — able to model orchestration, state, and retries using proven, scalable patterns

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
GoNode.jsdistributed systemsjob schedulersorchestration engineslow-latency microserviceshigh-throughput microservicesMongoDBFirestoreevent-driven services
Soft skills
testabilityisolation principlespragmatic engineering mindsetclaritysimplicitysystem architecture principlesdesign patternsperformance optimizationincident managementreliability improvement