后端产品工程师
Backend Product Engineer
职位描述
MasteryPrep 帮助学生在ACT、SAT、TSIA、WorkKeys和其他重要考试中取得成功。我们的考试交付和学习平台服务于学校和学生，他们每天都依赖这些平台正常运行。我们正在寻找一名后端产品工程师，负责支撑这些产品和平台的数据和后端系统。这是一个以AI为核心的职位。我们采用AI原生的开发实践——将AI编码工具作为日常工作的核心部分，并从一开始就考虑AI功能的设计，而不是后期添加。你应该对这种工作方式充满热情，而不仅仅是容忍它。你将负责构建产品，并管理我们所有的数据和后端系统，同时与我们的站点可靠性工程师紧密合作，管理和发展环境——确保其可靠、安全并具备扩展能力。
你将负责的工作
- 负责我们支撑产品的后端服务和数据系统的设计、开发和维护。
- 在Google Cloud Platform（GCP）上构建和维护API和服务。
- 管理跨PostgreSQL、Firestore和Firebase的数据层——包括模式设计、数据完整性、迁移和性能优化。
- 实践以AI为核心的发展：每天使用AI编码和开发工具，并帮助塑造团队如何应用它们。
- 设计支持AI驱动产品功能的后端系统（例如，集成LLM API并构建为其提供数据的管道）。
- 与我们的SRE紧密合作，管理、监控和改进环境——包括部署、可观测性、事件响应和基础设施决策。
- 通过良好的安全和隐私实践，保护我们服务的学校和学生的数据。
- 编写清晰的文档，并向技术和非技术人员传达技术决策。
我们的技术栈
- 云：Google Cloud Platform（GCP）
- 数据库：PostgreSQL、Firestore
- 平台服务：Firebase
- 语言：TypeScript/Python
- 流程：AI原生开发——AI工具是我们构建方式的核心组成部分
我们寻找的人选
- 5年以上后端开发经验。
- 强大的技术能力，有构建和运行生产级API和服务的扎实经验。
- 有关系型数据库（PostgreSQL优先）的实际操作经验——包括模式设计、查询和性能调优。
- 有主要云平台的经验；GCP经验是必需的，同时需要熟悉Firebase
查看英文原文
About the Role
MasteryPrep helps students succeed on the ACT, SAT, TSIA, WorkKeys, and other high-stakes assessments. Our test delivery and learning platforms serve schools and students who count on them working every day. We're looking for a Backend Product Engineer to own the data and backend systems that power those products and platforms.This is an AI-first role. We build with AI-native development practices — using AI coding tools as a core part of the daily workflow and designing systems with AI capabilities in mind from the start, not bolted on later. You should be excited about that way of working, not just tolerant of it.You'll be building products, and responsible for all of our data and backend systems, and you'll work closely with our Site Reliability Engineer to manage and develop the environment — keeping it reliable, secure, and ready to scale.
What You'll Do
- Own the design, development, and maintenance of our backend services and data systems that power our products.
- Build and maintain APIs and services running on Google Cloud Platform (GCP).
- Manage our data layer across PostgreSQL, Firestore, and Firebase — including schema design, data integrity, migrations, and performance.
- Practice AI-first development: use AI coding and development tools daily, and help shape how the team applies them.
- Design backend systems that support AI-powered product features (for example, integrating LLM APIs and building the data pipelines that feed them).
- Partner closely with our SRE to manage, monitor, and improve the environment — deployments, observability, incident response, and infrastructure decisions.
- Safeguard the data of the schools and students we serve through sound security and privacy practices.
- Write clear documentation and communicate technical decisions to both technical and non-technical teammates.
Our Tech Stack
- Cloud: Google Cloud Platform (GCP)
- Databases: PostgreSQL, Firestore
- Platform services: Firebase
- Language: TypeScript/Python
- Workflow: AI-native development — AI tooling is a first-class part of how we build
What We're Looking For
- 5+ years of professional backend development experience.
- Strong technical skills and solid experience building and running production APIs and services.
- Hands-on experience with relational databases (PostgreSQL preferred) — schema design, queries, and performance tuning.
- Experience with a major cloud platform; GCP experience is a requirement, as is Firebase/Firestore.
- Genuine enthusiasm for AI-assisted development — you already use tools like Claude Code, Cursor, or Copilot and can speak to how they've changed the way you work.
- Experience integrating AI/LLM APIs into applications, or a strong desire to build that skill quickly.
- Comfort collaborating on infrastructure and reliability work — you don't need to be an SRE, but you should care about how your systems run in production.
- Clear communication and the ability to work well with teammates across engineering, product, and support.
Nice to Have
- Experience in education technology or with assessment/testing platforms.
- Familiarity with accessibility requirements (WCAG) and how they shape product decisions.
- Experience with data migrations between environments (for example, staging to production).
- Experience with observability tooling and incident response.
Benefits
- $130,000 - $140,000 salary range
- Employee benefits eligibility (health, disability, AD&D, life insurance).
- Matching 401k
- Paid time off
- Generous paid holidays
- Ability to work fully remote
- Company supplied device/laptop
Originally posted on Himalayas