MasteryPrep

Delivers school-focused test prep curriculum

Backend Product Engineer

Backend EngineeringUpdated on Nov 13

Full-timeNo salary listedRemote

About the Job

Requirements

At least 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, including schema design, queries, and performance tuning; PostgreSQL is preferred.
Experience with a major cloud platform; Google Cloud Platform experience is required, as are Firebase and Firestore.
Genuine enthusiasm for AI-assisted development, with existing use of tools such as Claude Code, Cursor, or Copilot and the ability to discuss how they have changed the candidate's work.
Experience integrating AI/LLM APIs into applications, or a strong desire to build that skill quickly.
Comfort collaborating on infrastructure and reliability work and care for how systems run in production.
Clear communication and the ability to work well with teammates across engineering, product, and support.

Responsibilities

Own the design, development, and maintenance of backend services and data systems that power the products.
Build and maintain APIs and services running on Google Cloud Platform.
Manage the data layer across PostgreSQL, Firestore, and Firebase, including schema design, data integrity, migrations, and performance.
Use AI coding and development tools daily and help shape how the team applies them.
Design backend systems that support AI-powered product features, such as integrating LLM APIs and building the data pipelines that feed them.
Partner closely with the Site Reliability Engineer to manage, monitor, and improve the environment, including deployments, observability, incident response, and infrastructure decisions.
Safeguard school and student data through sound security and privacy practices.
Write clear documentation and communicate technical decisions to technical and non-technical teammates.

Desired Qualifications

Experience in education technology or with assessment and testing platforms.
Familiarity with accessibility requirements, including WCAG, and how they shape product decisions.
Experience with data migrations between environments, such as staging to production.
Experience with observability tooling and incident response.

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.

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

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.

About the Company

MasteryPrep

Delivers school-focused test prep curriculum

MasteryPrep provides test-prep resources for high school students, focusing on ACT, SAT, and TSIA2. It serves educational institutions, primarily high schools, by selling a mastery-based curriculum, daily classroom exercises, and engaging micro video courses that build college readiness through bite-sized lessons. Products are offered as curriculum packages and subscription access to online resources, designed for classroom use to improve CCMR (College, Career, and Military Readiness) outcomes. Unlike general test prep providers, MasteryPrep centers on a mastery-based approach delivered directly to schools, aiming to raise standardized test scores and overall college readiness by embedding bite-sized, trackable learning into the school’s curriculum.

Company size: 51-200
Company stage: Early VC
Total funding: $8.3M
Headquarters: Baton Rouge, LA
Founded: 2013

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