Senior Backend Engineer, m/f/x

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simpleclub

51 - 200 employees

📚 Education

👥 B2C

☁️ SaaS

💰 Series A on 2022-06

Education • B2C • SaaS

simpleclub is a popular learning app that assists students in various subjects, offering video explanations, summaries, and practice exercises. With over 2 million monthly users, it aims to reduce stress and improve academic performance through personalized learning plans and AI tutoring features. The app supports educational growth from primary education through to preparation for final exams, making it a vital resource for students in school and vocational training.

📋 Description

• Own backend features for AI-powered educator tools: architecture, implementation, deployment, observability. The whole lifecycle is yours. • Design and build data ingestion and transformation pipelines. Event sourcing, stream processing, aggregation layers for real-time and batch analytics. • Build and evolve APIs that serve learning insights and AI-generated content. Fast, well-documented, easy to integrate with. • Integrate LLM capabilities into the product: orchestration, structured output parsing, RAG, caching, cost control on model calls. • Use agentic coding tools (Claude Code, Codex, or similar) as part of your daily workflow. Delegate scaffolding, test generation, and first-pass implementations to AI agents. Review, refine, and own what comes out. • Write specs, ADRs, and context docs that work for your teammates and your tooling. Good context engineering speeds up everything downstream. • Ship features with Flutter engineers, PM, and designer. Short cycles, tight feedback loops. • Find ways to automate repetitive engineering work with AI: CI checks, code review triage, doc generation, migration scripts.

🎯 Requirements

• 7+ years of backend development on production systems. You've owned services, debugged incidents at scale, mentored engineers, and made architecture decisions you had to live with. • Strong Node.js/TypeScript and GCP fundamentals (Firestore, BigQuery, Spanner, Cloud Functions, Pub/Sub). • Experience with both NoSQL and SQL databases. You can reason about data modeling trade-offs, consistency guarantees, and query performance. • You already use AI coding tools daily. Show us your workflow, your prompt patterns, and how you structure context for agents. • Systems thinking. You think about failure modes, scalability, and data consistency up front. • Clear, async-first communication. You write well, share context without being asked, and document decisions. We're a remote-first, multinational team. English is the working language. • Nice to have, but not a must: • Experience putting LLMs into production: RAG pipelines, structured extraction, classification, prompt management, eval frameworks. • Background in ed-tech, learning analytics, or content generation. • Experience with event-driven architectures and stream processing at scale. • Infrastructure-as-code (Terraform) and CI/CD pipeline ownership. • Experience in product trios or similar setups where engineers shape the product, not just build what's specced. • Hands-on Spanner experience for globally consistent, horizontally scalable workloads.

🏖️ Benefits

• Unlimited paid holidays • Work from anywhere • Team events • A great culture • Perk Budget • Join a purposeful mission

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