Senior SDE - Platform

High Level is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, High Level supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.

To date, businesses operating on High Level have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure  centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.

Behind the platform, High Level 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.

With over 2,000 team members across 10+ countries, High Level 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.

Every month, High Level 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 You Tube Channel or Blog Posts

The platform underneath our two biggest systems.

The Conversations organization powers multi-channel communication across SMS, Email, Whats App, 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.

• 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

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

• 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, back pressure, idempotency
• Database depth beyond CRUD, indexing strategies, sharding, replication, query performance, and safe migrations on SQL or No
  
  SQL 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

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…