Principal Backend Engineer (Architect Track) - Remote
Novakid School ·
- Work mode
- Remote
- Seniority
- Principal
- Category
- Backend
- Experience
- 7+ years
- Company size
- 501-1000
Novakid School ·
Novakid · Remote job
Guac · US
neuroscale · Remote
andotechnologies · Latin & South America | Remote
Principal Backend Engineer to lead architecture decisions for Novakid’s global online English platform, evolving a Python-based monolith into a modular, geo-distributed system with AI integrations.
Novakid is an online English platform for kids — 100,000+ students, 2,500+ teachers, 15+ countries. Live classes run around the clock across time zones, which sets the technical bar: low latency, high availability, and a backend that holds up at real scale.
We’ve built a working platform. The next chapter is making deliberate architectural choices about how it should evolve.
We’re hiring a Principal Backend Engineer to take ownership of backend architecture as a hands-on technical leader. No direct reports. About half your time is in the code — reference implementations, critical components, refactors. The other half is the harder work: deciding what to build, what to buy, what to defer, and why.
Our backend today is a Python core (FastAPI, SQLAlchemy, Celery, Postgres, Redis), surrounded by services and event-driven flows, with a growing AI layer. It runs primarily on AWS, with GCP for data and AI workloads. There are real architectural questions to answer: how to evolve the monolith, how to set service boundaries, how to design for geo-distribution as we grow, and how to integrate AI without accumulating debt. We’re looking for someone who treats those questions seriously — researches before deciding, thinks in tradeoffs, writes things down.
Backend architecture standards and major technical decisions across teams
The path from monolith toward a more modular, service-oriented backend
Service blueprints: API conventions, EDA patterns, testing, observability, deployment
Cloud architecture across AWS (primary) and GCP, including multi-region and geo-distributed designs
High-load, real-time systems: live class infrastructure, latency budgets, caching, capacity
Buy vs. build vs. assemble — knowing when a managed service, a no-code tool (Retool, n8n), or an agentic-coding POC (Claude Code, Cursor) is the right call, and when it isn’t
Production code: components, refactors, POCs, and selected product-critical features
7+ years of backend engineering, deeply hands-on in Python
Production experience with FastAPI, SQLAlchemy, Celery, Postgres, Redis
Strong AWS architecture experience (EKS, Lambda, RDS, SQS/SNS/EventBridge, and so on); working knowledge of GCP a plus
Experience designing high-load, latency-sensitive, and geo-distributed systems
Pragmatic judgment on buy vs. build vs. assemble — managed services, no-code, and agentic tooling as first-class options, not shortcuts
A deliberate working style: you research, weigh tradeoffs, document decisions, and explain them clearly to engineers and non-engineers alike
LLM integrations in production (OpenAI, Anthropic, Google AI) — evaluation, cost, reliability
Active use of agentic coding tools (Claude Code, Cursor) as part of how you ship
EdTech or other high-scale consumer platforms
Python · FastAPI · SQLAlchemy · Celery · Postgres · Redis · Kubernetes (EKS, GKE) · AWS · GCP · SQS/SNS/EventBridge · Pub/Sub · OpenAI · Anthropic · Google AI
A chance to shape the future of AI-driven education.
A fun, dynamic team that loves building innovative products.Unlimited holidays – because we trust you to deliver.
Bonuses and stock options – we grow together.
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