Senior SDE - Platform

Openkrill; United States; Remote; USD 150.000 - 190.000; Vollzeit

Benefits dieser Stelle

Remote-friendly

Zusammenfassung

HighLevel is hiring for a senior backend engineer to design and build platform components powering Conversations and Workflows. You’ll work with Node.js and Go on GKE and GCP, focusing on high-throughput, reliable systems and AI-assisted coding practices.

You will own data stores, queues, and APIs at scale, collaborating across teams to ensure performance, resilience and fast delivery to millions of users globally.

Qualifikationen

• 4+ years backend engineering with Node.js and/or Go.
• Deep systems understanding across stack, prod systems.
• Experience with queueing and async processing (Pub/Sub, Kafka, Cloud Tasks) and proper delivery semantics.
• Database depth: indexing, sharding, replication, migrations at scale (SQL/NoSQL).
• Hands-on with Redis and caching patterns.
• Production cloud infra experience, Kubernetes autoscaling under pressure.
• Strong design-doc writing and rigorous test practices.

Aufgaben

• Design and build platform components and services, ensuring scalable architectures.
• Own components end-to-end: architecture, docs, code, tests, rollout, and health.
• Work on data stores at scale: indexing, sharding, migrations on large datasets.
• Collaborate close to infra: GKE, Pub/Sub, Cloud Tasks topologies, capacity planning.
• Identify and fix gaps: idempotency, backpressure, cache stampedes, hot shards.
• Debug cross-layer incidents; understand interactions across services.
• Write design docs and RCAs that are clear for engineers.

Kenntnisse

Node.js

Go

System design

Queueing & async

Design docs

AI-assisted coding

Production-grade code

Tools

MongoDB

Firestore

ClickHouse

ElasticSearch

Redis

GKE

Pub/Sub

Cloud Tasks

Kubernetes

Kafka

RabbitMQ

Jobbeschreibung

About HighLevel

HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.Behind the platform, HighLevel 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, HighLevel 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, HighLevel 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 YouTube Channel or Blog Posts

What are we hiring for?

The platform underneath our two biggest systems.

Team & System Overview

The Conversations organization powers multi-channel communication across SMS, Email, WhatsApp, and DMs - handling over 2B messages each month. The Threads & Composer team owns the inbox and composer surfaces, and the backend services that deliver and store those interactions.You'll work across Node.js microservices, GCP-based infra (GKE, Pub/Sub, Cloud Tasks), and MongoDB/Firestore storage layers, ensuring every message and UI state stays consistent, fast, and recoverable.

Responsibilities

• Design and build the platform components Workflows and Conversations run on, queueing pipelines, storage access layers, caching strategies, rate limiters, schedulers
• Own your components end to end: architecture, design docs, code, tests, rollout, dashboards, and production health
• Go deep on data stores at scale, schema and index design, sharding strategies, replication behavior, and migrations on live systems with billions of records
• Work close to the infrastructure: GKE autoscaling, resource tuning, Pub/Sub and Cloud Tasks topologies, and the capacity planning that keeps headroom ahead of growth
• Spot gaps in your systems before production does, missing idempotency, unbounded queues, cache stampedes, hot shards, and drive the fixes
• Debug the incidents that cross layers, where the answer isn't in one service's logs but in how the pieces interact
• Write design docs and RCAs that make the platform's behavior legible to 80+ engineers building on it

The terrain

• Runtime: Node.js (TypeScript), Go, on GKE
• Messaging & async: GCP Pub/Sub, Cloud Tasks, Redis
• Storage: MongoDB, Firestore, ClickHouse, ElasticSearch
• Observability: metrics, tracing, and alerting you'll help make sharper

Requirements

• 4+ years of backend engineering experience, with deep hands-on work in Node.js and/or Go
• Strong systems understanding across the stack, application, database, and infrastructure, proven 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 strategies, sharding, replication, query performance, and safe migrations on SQL or NoSQL stores at scale
• Hands-on with Redis or other in-memory stores, caching patterns, data structures, and their failure modes
• Production experience with cloud infrastructure, Kubernetes, autoscaling, resource limits, and how they behave under pressure (GCP preferred)
• You write clear design docs and rigorous test cases as a habit, not on request
• Champion of AI-assisted engineering, you make agents produce accurate, production-quality code, fast

On AI

We're past the debate. AI is part of how we build, and we expect you to be better at it than most.

That means making agents do real work: producing code that's accurate, tested, and slop-free, fast. On platform code, the bar is higher, not lower: a sloppy merge here doesn't break a feature, it breaks the floor everything stands on. You review AI output with that in mind, and you ship at a pace engineers without this skill can't match.

What you're built for

• You understand systems in depth, not just the API surface, but what happens under load, at the tail, when the network partitions
• You've taken real production hits, a migration gone sideways, a queue that wouldn't drain, a database that fell over, and each one made your designs better
• You're the engineer teammates pull in when the bug crosses layers, app, database, infra, because you can hold all three in your head
• You write design docs people actually read, clear trade-offs, honest risks, a real recommendation
• You treat capacity and failure modes as design inputs, not afterthoughts
• When production breaks, your first instinct is curiosity, not panic

Bonus Points

• You've operated systems at comparable scale, billions of events, thousands of instances
• Experience with ClickHouse, ElasticSearch, or Firestore in production
• You've done platform work before, the unglamorous layers everyone depends on and nobody notices until they fail

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