Software Engineer, Backend

Gamma

🏠 Remote
📍San Francisco, CA
Posted May 22, 2026

Job Overview

Position

Software Engineer, Backend

Company

Gamma

Location

San Francisco, CA

Work Type

Remote

Job ID

li-4414068968

Job Description

About The Role
You'll build and scale the backend systems that power millions users creating content every day on Gamma. This role is about solving real distributed systems challenges at scale while maintaining the performance and reliability users expect from a modern AI-powered product. You'll work across the full stack, shipping features that directly impact how people create and share their ideas.

While this role is backend focused, you'll work across the entire product with our frontend, product, and design teams. Our full TypeScript stack is built on modern technologies including React, Node.js, PostgreSQL, Redis, and cutting-edge AI models.

Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.

What You'll Do

  • Scale backend systems to hundreds of millions of users while maintaining high performance and availability

  • Build and optimize APIs that power real-time collaborative editing and AI content generation

  • Design and implement distributed systems that handle massive scale with reliability

  • Ship features across the full stack, working closely with frontend engineers to deliver polished experiences

  • Architect solutions for complex technical challenges in areas like data consistency, caching, and query optimization

  • Collaborate with product and design to turn ideas into production-ready features

What You'll Bring

  • 3+ years building production backend systems with strong fundamentals in distributed systems, databases, and API design

  • Deep proficiency in TypeScript/Node.js or similar backend languages, with eagerness to work in our TypeScript stack

  • Experience scaling systems to handle millions of users and high throughput workloads

  • Strong understanding of PostgreSQL, Redis, or similar database technologies

  • Passion for building APIs, scaling complex systems, and creating excellent web applications

  • Curiosity and attitude that matches your technical knowledge

  • Prior experience working with websockets, streaming, or scaling inference workloads (Nice to have)

Compensation Range
The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $310K plus benefits & equity.

*Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.*
If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.

Interview Prep

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Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How would you design a backend system to handle real-time collaborative editing for millions of users, specifically addressing data consistency and conflict resolution?
  • 2.Gamma relies heavily on PostgreSQL and Redis. How would you architect a caching strategy to handle high-throughput reads for AI-generated content while ensuring data consistency?
  • 3.Given our full TypeScript stack, how do you leverage TypeScript's type system on the backend to ensure API reliability and seamless integration with the React frontend?
🎯Behavioral Questions (3)
  • 1.Tell me about a time you had to scale a backend system to handle a massive increase in traffic or users. What was your approach and the outcome?
  • 2.Describe a situation where you had to collaborate closely with frontend, product, and design teams to ship a complex feature. How did you ensure smooth cross-functional communication?
  • 3.Tell me about a time you dealt with a critical distributed systems failure in production. How did you resolve it and what did you learn?
🧩Situational Questions (2)
  • 1.You are tasked with building an API endpoint that streams AI-generated content to the client in real-time. The inference workload is heavy and unpredictable. How do you approach this?
  • 2.During a peak usage period, your monitoring dashboard shows that PostgreSQL CPU usage is at 95% and API response times are degrading. What are your immediate and long-term steps to resolve this?

Resume Keywords

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TypeScriptNode.jsDistributed SystemsPostgreSQLRedisAPI DesignSystem ScalingWebSocketsStreamingCachingQuery OptimizationReal-time Collaboration

Interested in this position? Apply directly on LinkedIn.

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