Backend Product Engineer

Department: Product

Employment Type: Full Time

Location: Louisiana, Louisiana, Remote - USA, Remote

About the Role

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