Senior Software Engineer - Full Stack
AI summary of the role
Senior full-stack engineer at an early-stage trust & safety platform used by large internet platforms.
What you’ll do
- Build AI agents that review content against customer policies, moving from hardcoded LLM prompts to configurable agent specs.
- Develop a durable workflow engine on Restate for automation of moderation pipelines, NCMEC reporting, and enforcement actions.
- Enhance review queue tooling with features like QA decision overrides, attribute-level labeling, forms, and skills-based routing.
- Create analytics dashboards with React frontend and Django/GraphQL API for T&S leads.
What you’ll bring
- 5+ years building production software across the stack: Django or similar, React or similar, relational databases, message/event systems.
- Proven ability to identify customer problems and build end-to-end solutions without traditional PM-led design.
- Experience with high-throughput, data-intensive systems and reasoning about pipeline throughput, latency, and scale tradeoffs.
- Fluent and opinionated about AI tooling in code development.
Technologies
Django · React · Restate · GraphQL · AI agents · LLM · Salesforce · Zendesk · workflow engine · durable execution
Source and classification
Production engineering · Evidence for this classification:
this role You'd be building the infrastructure that some of the largest online communities in the world depend on to function. The problems aren't hypothetical: state-sponsored disinformation, CSAM reporting, coordinated abuse at scale. The software you build is used daily by the reviewers, investigators, and T&S leads making the calls that define what a platform stands for. This is an early-stage company with a mature product and real enterprise customers. You'll have outsized influence on architecture, product direction, and engineering culture. What you'll work on This isn't a generic full-stack role. Here's what's actually on the roadmap right now and what you'd be contributing to: AI agents that review content against customer policies, callable from within our durable workflow engine. We're moving from hardcoded LLM prompts to a configurable agent spec that customers can edit
More from the job description
About Cinder Cinder is the mission-critical infrastructure that keeps the world's most important digital platforms true to what they stand for. The internet has always been abused by bad actors, and AI is making it exponentially worse, driving fraud, abuse, and manipulation at a scale and speed no human team can fight alone. Cinder gives platforms one command center to fight back: to write and enforce policy, deploy AI agents against abuse in real time, investigate threats, file NCMEC reports, and prove their safety programs are working. Our customers are some of the largest internet platforms in the world. The decisions made in our software directly determine what stays up, what comes down, and how users are treated. We're a small, fast-moving team backed by Accel and Y Combinator. We care about being intentional, direct, and deeply focused on solving real customer problems. Why this role You'd be building the infrastructure that some of the largest online communities in the world depend on to function. The problems aren't hypothetical: state-sponsored disinformation, CSAM reporting, coordinated abuse at scale. The software you build is used daily by the reviewers, investigators, and T&S leads making the calls that define what a platform stands for. This is an early-stage company with a mature product and real enterprise customers. You'll have outsized influence on archit [... source excerpt omitted ...] hat you'll work on This isn't a generic full-stack role. Here's what's actually on the roadmap right now and what you'd be contributing to: AI agents that review content against customer policies, callable from within our durable workflow engine. We're moving from hardcoded LLM prompts to a configurable agent spec that customers can edit and deploy themselves. A workflow engine built on Restate for durable execution. Engineers build new nodes that customers wire together to automate moderation pipelines, NCMEC reporting, enforcement actions, and more. Review queue tooling: the core UI where moderators and investigators spend their day. You'd work on features like QA decision [... source excerpt omitted ...] ay user communications: building integrations (Salesforce, Zendesk) so moderators can contact users and see conversation history without leaving Cinder. Reliability at scale. Our customers process high volumes of content through review queues, workflows, and AI agents. You'd help define SLIs, improve pipeline throughput, and own oncall for systems where downtime means moderation stops. What we're looking for 5+ years building production software, with experience across the stack: Django or similar backend frameworks, React or similar on the frontend, relational databases, and message/event systems. You've identified a customer problem yourself, not just been handed a ticket,
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