Sr. SDE - Platform

The role

Build and own the platform components that Workflows and Conversations run on, including queueing pipelines, storage access layers, caching, rate limiters and schedulers. Own your components end to end, from design docs and code to rollout, dashboards and production health.

What you will do

• Design and build platform components: queueing pipelines, storage access layers, caching strategies, rate limiters, schedulers
• Own components end to end: architecture, design docs, code, tests, rollout, dashboards, production health
• Go deep on data stores at scale: schema and index design, sharding, replication, migrations on live systems
• Work close to infrastructure: GKE autoscaling, resource tuning, Pub/Sub and Cloud Tasks topologies, capacity planning
• Spot gaps before production does: missing idempotency, unbounded queues, cache stampedes, hot shards, and drive the fixes
• Debug incidents that cross layers between app, database and infrastructure
• Write design docs and RCAs that make platform behavior clear to engineers building on it

Required qualifications

• 4+ years of backend engineering experience
• Deep hands-on work in Node.js and/or Go
• Strong systems understanding across application, database and infrastructure on high-throughput production systems
• Deep experience with queueing and async processing: Pub/Sub, Kafka, RabbitMQ, Cloud Tasks or similar; delivery semantics, ordering, backpressure, idempotency
• Database depth beyond CRUD: indexing, sharding, replication, query performance, safe migrations on SQL or NoSQL at scale
• Hands-on with Redis or other in-memory stores, including caching patterns and failure modes
• Production experience with cloud infrastructure: Kubernetes, autoscaling, resource limits (GCP preferred)
• Writes clear design docs and rigorous test cases as a habit
• Uses AI-assisted engineering to produce accurate, production-quality code

Nice to have

• Experience operating systems at comparable scale: billions of events, thousands of instances
• Experience with ClickHouse, ElasticSearch or Firestore in production
• Prior platform work on foundational infrastructure layers

Before you apply

• Applicants must complete an EEO voluntary demographic form, which does not affect application status

About the company

HighLevel is an AI-powered business operating system serving agencies, entrepreneurs and SMBs in 150+ countries. The company has over 2,000 team members across 10+ countries and operates as a global, remote-first organization.