---
title: 'Site Reliability Engineer at Gamma'
canonical: 'https://feeny.ai/job/site-reliability-engineer-gamma-san-francisco-e0hdt0e84xv9'
type: 'job'
last_seen: '2026-09-05'
---

# Site Reliability Engineer at Gamma

- **Company:** Gamma
- **Location:** San Francisco, CA
- **Compensation:** $230k–$310k
- **Employment:** full-time
- **Posted:** 2025-11-13
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/Gamma/365c8133-e9c1-4bcb-b8f1-975d96115503/application

**Skills:** AWS, Python, Go, TypeScript, Node.js, Terraform, CloudFormation, Infrastructure-as-code, Observability, Distributed Systems, Docker, Kubernetes, Database Performance, Networking, Incident Management, Kafka, Chaos Engineering, Service Mesh, Background Knowledge

> Own the operational health of Gamma's full backend platform on AWS, building automation and tooling to improve reliability. Partner with engineering to design observable, resilient systems and lead incident response while balancing reliability with engineering velocity.

## Job description

## ABOUT THE ROLE

Gamma's infrastructure needs to be rock-solid for millions of daily users while enabling our engineering teams to ship fast. You'll own the operational health of our full backend platform, building automation and tooling that improves reliability and partnering with engineering to design systems that are observable, resilient, and easy to operate. Your work directly impacts every Gamma user's experience.

This is a high-impact role where you'll balance reliability with velocity, knowing when to move fast and when to prioritize stability. You'll lead incident response, drive systemic improvements, and help shape how Gamma scales to serve its next 100 million users.

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

- Own the reliability, availability, and performance of Gamma's production systems across our AWS infrastructure
- Build observability infrastructure from the ground up: metrics, logging, tracing, and alerting that give the team genuine visibility into system health before users feel the impact
- Design and ship automation that reduces toil, makes deployments safer, and gets us back on our feet faster when things go wrong
- Lead incident response and blameless post-mortems, then follow through on the systemic fixes that keep the same issues from coming back
- Partner with engineering teams on architecture reviews, SLO and SLI design, and reliability best practices that scale with the product
- Manage and optimize our compute, networking, databases, and managed services

## WHAT YOU'LL BRING

- 5+ years in site reliability engineering, DevOps, or systems engineering with deep, hands-on AWS expertise
- Strong programming skills in Python, Go, or TypeScript/Node.js, applied to building real tools and automation
- Solid experience with infrastructure-as-code (Terraform, CloudFormation) and end-to-end observability solutions
- Track record of making systems meaningfully more reliable through automation, smarter monitoring, and architectural improvements
- Deep understanding of networking, distributed systems, containerization (Docker, Kubernetes), and database performance at scale
- Sharp incident management instincts and the debugging skills to navigate complex production failures
- Experience scaling SaaS products to millions of users, or background with Kafka, chaos engineering, or service mesh technologies (Nice to have)
- AWS certifications, or experience with security and compliance frameworks like SOC 2 or ISO 27001 (Nice to have)

## COMPENSATION RANGE:

The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $230K - $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.

## About Gamma

## Core Business
- **Primary industry**: AI-powered productivity software / presentation and content creation
- **Target customers**: B2C (individual creators, professionals) and B2B (teams, enterprises)
- **Mission statement**: “We build tools for imagination” – making it easy for anyone to share ideas beautifully and quickly without design or communication expertise.

## Products & Services
- **Presentations**: Turn any idea or outline into a polished slide deck; export to PPT, PDF, Google Slides, and more.
- **Documents**: Create structured, visual documents (one-pagers, white papers) with AI assistance.
- **Websites**: Generate a shareable, hosted website in minutes – no coding required.
- **Social Media**: Produce platform-ready social content sized and styled for posting.
- **Graphics**: AI design agent for creating custom, on-brand graphics, infographics, and illustrations.
- **API**: Programmatic creation for automation, integration, and scaling content.

## Market Standing
- **Valuation**: $2.1B (as of 2026, per company about page)
- **Key Metric**: $100M+ annual recurring revenue (ARR); 100 million total users; over 1 million creations per day
- **Notable Investors/Partners**: Not publicly disclosed (likely venture-backed given valuation)
- **Growth Signals**: Achieved profitability in 2023; rapid user adoption (100M users); expanding from presentations into websites, social, and API; strong B2C viral growth with growing B2B enterprise traction.

## Competitive Advantages
- **AI-native architecture**: Built from the ground up for AI collaboration, not retrofitted.
- **Multi-format versatility**: One platform for presentations, documents, websites, social posts, and graphics – reducing tool sprawl.
- **Viral B2C love + massive B2B opportunity**: Millions of individual users drive organic adoption into enterprises.
- **Profitable growth**: Profitable since 2023 while still scaling rapidly, demonstrating unit economics.

## Strategic Focus
- **Disrupting the presentation market**: Replacing legacy tools (PowerPoint, Google Slides) with an AI-first experience.
- **Expanding the creative layer**: Moving beyond presentations to become the default tool for all modern communication (documents, websites, social).
- **Enterprise go-to-market**: Building on viral B2C adoption to capture B2B contracts with features like brand controls, team collaboration, and API integrations.
- **Continuous AI innovation**: Leveraging 20+ AI models and constant iteration to improve output quality and creative capabilities.

## Why Work Here
- **Culture**: Described as “warm, a little quirky, and fueled by curiosity” – a team of dreamers and doers that ships constantly.
- **Work model**: Hybrid/on-site presence in San Francisco (primary hub) and New York; many roles listed as “San Francisco” or “New York” with on-site expectation; some remote flexibility may exist for certain roles.
- **Notable perks**: Being part of a profitable, high-growth unicorn; working on a product used by 100M people; opportunity to shape the future of AI-powered communication.
- **Engineering culture**: Heavy emphasis on AI, data science, and product design; roles include AI Engineer, Research Engineer, Site Reliability Engineer, and UI Engineer.

## Sources
1. [Gamma About Page](https://gamma.app/about)
2. [Gamma Careers Page](https://careers.gamma.app/)
3. [Gamma Job Listings (Ashby)](https://jobs.ashbyhq.com/gamma)
4. [Gamma Product Pages](https://gamma.app/?lng=en)
5. [Gamma Team Page](https://team.gamma.app/)

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