Gamma (gamma.app) Logo

Gamma (gamma.app)

Software Engineer, Platform

Reposted 4 Days Ago
In-Office
San Francisco, CA, USA
180K-275K Annually
Mid level
In-Office
San Francisco, CA, USA
180K-275K Annually
Mid level
The Software Engineer, Backend will build and optimize scalable backend systems and APIs, working closely with frontend teams to enhance AI-powered content creation.
The summary above was generated by AI
About the role

You'll build and scale the application and data infrastructure that supports 70M+ users creating millions of gammas every day. This means working on real-time collaborative editing, databases, public APIs, and high-volume event pipelines while helping define and evolve the core data model and storage systems powering Gamma's business. You'll ship backend systems that directly impact growth metrics and user experience, balancing long-term technical investments with rapid shipping velocity.

As Software Engineer on the Platform team, you'll collaborate across frontend, product, and data teams in a fast-paced, product-led environment. You'll bring a product-minded approach, understanding how technical decisions impact user experience and business metrics while thriving in an environment where shipping quality directly impacts growth.

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
  • Design and implement scalable APIs, distributed systems, and data infrastructure that serve millions of users

  • Help define and evolve the core data model and storage systems powering Gamma's business

  • Ship backend systems that directly impact growth metrics and user experience

  • Work on real-time collaborative editing, databases, public APIs, and high-volume event pipelines

  • Balance long-term technical investments with rapid shipping velocity

  • Collaborate across frontend, product, and data teams to deliver high-quality solutions under tight timelines

What you'll bring
  • 3–5+ years of backend engineering experience building scalable systems

  • Strong proficiency in backend technologies (Node.js, Python, or similar) and databases (PostgreSQL, Redis)

  • Experience with high-traffic production systems and performance optimization

  • Track record shipping high-quality, complex applications under tight timelines

  • Product-minded approach with understanding of how technical decisions impact user experience and business metrics

  • Thrives in fast-paced, product-led environments where shipping quality directly impacts growth

  • Experience with real-time collaboration systems, event pipelines, or AI-powered applications (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

HQ

Gamma (gamma.app) Concord, California, USA Office

Concord, Canada

Similar Jobs

38 Minutes Ago
Hybrid
Menlo Park, CA, USA
165K-200K Annually
Senior level
165K-200K Annually
Senior level
Artificial Intelligence • Healthtech • Logistics • Social Impact • Software • Telehealth
Build and scale backend services and APIs powering patient booking, clinician routing, logistics, and device integrations. Ship end-to-end full-stack features, solve scheduling and dispatch challenges, integrate external health systems, and own projects from 0->1 while collaborating with product, data, ops, and clinical teams.
Top Skills: AmplifyAppsyncAWSCloudFormationDynamoDBGraphQLJavaScriptLambdaNode.jsReact NativeReact Native For WebTypescript
6 Days Ago
Easy Apply
In-Office
Easy Apply
157K-235K Annually
Senior level
157K-235K Annually
Senior level
Aerospace • Hardware • Robotics • Software • Manufacturing
Lead a squad building factory and launch platform software: manage engineers, own architecture and full SDLC, ship code, partner with cross-functional teams, mentor and hire, and uphold engineering standards for production systems.
Top Skills: AWSBigQueryDbtDuckdbGCPGoHelmIcebergKubernetesPostgresPythonReactTerraformTypescript
6 Days Ago
Remote or Hybrid
Palo Alto, CA, USA
235K-414K Annually
Expert/Leader
235K-414K Annually
Expert/Leader
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design and build next-generation ads formats, backend infrastructure, and scalable distributed systems. Lead technical direction, collaborate across teams to define product requirements, experiment, analyze and optimize ad performance, and ensure availability, scalability, operational excellence, and cost management. Mentor engineers and apply AI tools and high-velocity workflows to deliver production-ready systems.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account