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Role overview
Job description
Build and ship features in Node.js / Go services that sit on real production paths — your code handles live traffic, not toy problems
Own well-scoped services and components end to end: code, tests, rollout, and monitoring
Work with SQL and NoSQL data stores — writing queries, adding indexes, and learning why the schema looks the way it does
Get hands-on with queues, caches, and rate limiters — the building blocks of every system here
Ship Vue 3 UIs that consume your own APIs — clean components, sane state management, and realtime updates that don't flicker or drift
Write design docs for your features and defend them in review — clear thinking, honest trade-offs
Join the on-call rotation with backup from senior engineers — incidents are where the deepest learning happens
Ask questions relentlessly, absorb feedback from code reviews, and level up fast
Requirements:
2+ years of backend engineering experience with strong fundamentals in Node.js, Go, or a comparable language — and the drive to go deep in ours
Working knowledge of queues or async processing — you've used Pub/Sub, Kafka, RabbitMQ, or similar, and want to master delivery semantics, ordering, and backpressure
Genuine interest in distributed systems — you understand the basics (idempotency, retries, consistency trade-offs) and are hungry to learn the rest by building
Hands-on with Redis or another cache/in-memory store, even at small scale
Comfortable with SQL or NoSQL databases — you can model data, write efficient queries, and reason about indexes
Proficient in Vue 3 or a similar modern frontend framework — solid component design and real experience with state management (Pinia, Vuex, or equivalent)
You write tests as a habit and can put your design thinking into a clear doc
AI-native builder — you code with agents daily and are pushing to get accurate, production-quality output from them
Languages: Node.js (TypeScript), Go
Frontend: Vue 3, TypeScript, Pinia, Vite, Tailwind
Storage: MongoDB, Firestore, Redis, ElasticSearch, ClickHouse
Infra: GCP — GKE, Pub/Sub, Cloud Tasks
CI/CD: GitHub Actions, Docker, Kubernetes
Why This Role
Most engineers spend years at companies where "scale" means a few hundred requests per second — and never find out what they're capable of.
Here, the systems are the teacher. Every design decision has a visible consequence at billions of events a month. Every incident is a masterclass. You'll sit in architecture reviews with staff engineers debating storage engines and consistency models — and within a year, you'll be contributing to those debates, not just watching them.
If you optimize your career for learning velocity, there is no faster track than this.
On AI
We're past the debate. AI is part of how we build - and we expect you to be hungry for it.
You already code with agents daily. You're learning what they're good at, where they hallucinate, and how to get accurate, tested, slop-free code out of them fast. You treat AI as a multiplier on your learning speed, not a substitute for understanding.
If you're still copy-pasting from a chat window and hoping, this isn't the seat for you.
What you're built for
You're deeply curious — you don't stop at "it works," you need to know why it works
You read post-mortems and system-design write-ups for fun, not because someone assigned them
You've built things beyond your job description — side projects, internal tools, that one system you rewrote because the old one bothered you
You take feedback like a gift: code review comments make your next PR better, every time
When something breaks, your first instinct is curiosity, not panic
What Success looks like
You own a service or component that the team trusts you on completely
You're a dependable on-call engineer — you've debugged real incidents and shipped the fixes
Your design docs have gone from "reviewed heavily" to "approved with nits"
Senior engineers pull you into harder problems — because you've earned it
You're visibly on the path to SDE-3, and everyone around you knows it
Bonus Points
Familiarity with our stack: GCP, MongoDB, Firestore, ClickHouse, ElasticSearch
You've contributed to a messaging, automation, or event-driven system — at any scale
Side projects or open-source work that shows you build because you can't not build
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About this listing
- Source: HighLevel's official careers site · still listed there on 12 Nov 2026
- Posted 17 Sept 2026
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Department · Engineering
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HighLevel
HighLevel is the all-in-one sales & marketing platform that agencies can white-label and resell to their clients!
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