Software Engineer

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.

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 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

• 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

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.