# Software Engineer, Trust & Safety (Distributed Systems)

**Company**: Gamma
**Location**: San Francisco
**Work arrangement**: onsite
**Experience**: senior
**Job type**: Full time
**Salary**: $180K–$275K
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q2294120

**Apply**: https://jobs.ashbyhq.com/gamma/c1efd7d6-8db3-4a52-807c-fbf080c56806?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0206d5fb-1da

## Description

### Why this role matters now

AI has dramatically lowered the barrier for bad actors. Generating convincing phishing pages, spinning up realistic-looking fraudulent accounts, and producing abusive content at scale no longer requires specialized skill , a motivated attacker with access to widely available models can do it.

At the same time, AI is transforming what's possible on the defensive side. A small, sharp T&S team equipped with frontier models can now build detection, triage, and response systems that would have required a team five times the size just a couple of years ago. AI-assisted content scanning, automated investigation workflows, and intelligent alert prioritization mean that a lean team can protect millions of users , if they build the right infrastructure.

### About the role

You'll architect and scale the trust infrastructure that keeps 70M+ users safe while preserving the creative freedom that makes Gamma magical. This means designing distributed systems for real-time content scanning, anomaly detection, and rate limiting; helping define and evolve the core data model and storage systems behind abuse detection; and shipping the high-volume event pipelines and internal tools that let our support teams act quickly on threats.

You'll join a small, high-impact team building the foundation for trust at scale. You'll work across databases, public APIs, and event infrastructure, balancing long-term technical investments with rapid shipping velocity. You'll collaborate across engineering, product, and design to define how Gamma approaches safety for the long term.

### What you'll do

- Own detection and prevention systems for fraud, abuse, spam, and malicious content across millions of daily users

- Design and build scalable trust infrastructure including rate limiting, content scanning, anomaly detection, and account security

- Architect distributed systems, APIs, and high-volume event pipelines that power real-time abuse detection at Gamma's scale

- Help define and evolve the core data model and storage systems that underpin trust and safety across the product

- Build tools that empower internal support teams to investigate and act on suspicious or malicious activity

- Leverage AI/LLM-based detection to stay ahead of AI-generated abuse , phishing, fraud, and malicious content that's increasingly indistinguishable from legitimate activity

- Build automated triage and investigation workflows that let a small team operate at the scale of a much larger one

- Investigate and resolve complex security incidents with limited context

- Partner with engineering and product to balance security with user experience

- Shape Gamma's long-term trust and safety strategy and technical roadmap

### What you'll bring

- 5+ years of backend engineering experience building scalable, high-traffic production systems

- Strong systems thinking and experience building highly available web APIs

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

- Experience with event streaming systems (Redis, Kafka, or similar) and high-volume event pipelines

- Hands-on experience implementing trust features like rate limiting, content detection, and fraud prevention

- 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

- Passion for security, user protection, and solving problems at scale

### Nice to have

- Experience with AI/LLMs for content moderation, or familiarity with TypeScript, Prisma, Apollo GraphQL, or AWS

- Experience building AI-assisted moderation pipelines or using frontier models for automated abuse detection and response

- Familiarity with the evolving AI threat landscape , how generative models are being used for phishing, social engineering, and content abuse at scale

- Experience with real-time collaboration systems

### Compensation range:

The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K–$275K plus benefits & equity.

## Skills

### Required
- backend engineering
- distributed systems
- rate limiting
- content scanning
- anomaly detection
- account security
- event streaming systems
- high-volume event pipelines
- trust features
- fraud prevention
- complex applications
- user experience
- business metrics
- security
- user protection
- problem-solving

### Nice to have
- AI/LLMs for content moderation
- TypeScript
- Prisma
- Apollo GraphQL
- AWS
- AI-assisted moderation pipelines
- frontier models
- automated abuse detection and response
- real-time collaboration systems

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/gamma/c1efd7d6-8db3-4a52-807c-fbf080c56806?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)