Software Engineer, Distributed Systems - Trust & Safety
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.
Responsibilities
- 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
- Automate 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
Requirements
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
Qualifications
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
Skills
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
Benefits
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.
Pay
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.