Backend engineer for language learning

Babbel; United States; Remoto; USD 120.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote‑friendly

Descrizione del lavoro

Babel Labs ищет Backend‑инженера для дальнейшего развития сервисов обучения языкам. Вы будете работать с TypeScript и Node, проектировать API и контракты данных, а также отвечать за эксплуатацию через AWS и CI/CD.

Работа удалённая, с Berlin‑friendly и возможностью сотрудничать в небольшой команде, ориентированной на качество и надёжность. Требуется самостоятельность и способность разбираться в чужом коде.

Competenze

• Сильный практический опыт бэкенд‑разработки на TypeScript и Node.
• Глубокий опыт AWS в serverless‑first окружении.
• Опыт проектирования API и контрактов данных.
• Опыт владения инфраструктурой как код (Terraform) и CI/CD.

Mansioni

• Разрабатывать и эволюционировать сервисы обучающей платформы.
• Проектировать API и контракты данных, работать с продакшн‑инцидентами.
• Запускать и мониторить сервисы, автоматизировать развёртывания.

Conoscenze

TypeScript

Node.js

AWS (serverless)

CI/CD

API design

Strumenti

Lambda

API Gateway

DynamoDB

Terraform

Python

Descrizione del lavoro

Описание:

Babbel Labs is building the future of language learning. We are an AI-first, independent company within the Babbel group, based in Berlin. Our teams bring AI, research and product together to ship experiences that set a new standard for how people learn. Babbel Labs is rebuilding how learning content is created, stored and served, and how we decide what a learner sees next. The architecture for that is being set now, by a small number of engineers, and this role is one of them.

Задачи:

Build and evolve services across our learning platform, owning each one from its API contract through to what runs in production. Take on services you did not write, alongside the people who did. Design API and data contracts that hold up over time, with type-safe transforms between the API, the domain and persistence. Run what you build. Instrument it, know how it fails, change live data safely, and be the person who works out why it broke. Deliver with coding agents as a matter of course, and verify what they produce before you rely on it.

Требования:

Strong, hands‑on backend engineering in TypeScript and Node as your primary working language today. We mean back‑end services: not build tooling, and not the server a front‑end framework happens to ship with. Deep, practical AWS experience in a serverless‑first setting. Lambda, API Gateway, DynamoDB and event streaming are our daily tools, and we want someone who has designed against them rather than only deployed onto them. The ability to design API and data contracts and to model a domain, including type‑safe transforms at the boundaries between the API, the domain and persistence. Real production ownership. You have instrumented your own services, understood their failure modes, changed live data without losing any, and worked incidents on systems you owned. Coding agents are part of your daily workflow, and you check their output before you rely on it. You are neither dismissive of them nor careless with them. Self‑sufficiency. You get yourself unstuck in an unfamiliar codebase without a minder, and you work within its grain rather than rewriting what you have not yet understood. Working familiarity with infrastructure as code (Terraform) and CI/CD pipelines, enough to ship and change your own service's delivery. This is not an infrastructure role, so depth here is not the bar. Python as a welcome secondary language. Some of our services are Python, and a Labs engineer can expect to touch them. Будет плюсом: Go or Rust for performance-critical components. Fully optional; Experience with a monorepo build system and shared tooling; Public technical work, such as open‑source contributions or writing

Условия:

This is a hands‑on individual‑contributor role on a small team that moves fast, agent‑first, but with a structured and disciplined delivery approach. It is remote and Berlin-friendly.