Software Engineer, Trust & Safety

This is a fully remote position, open to applicants in North America.

📋 Description

• Develop and maintain the real-time enforcement layer while adhering to a millisecond latency budget.

• Create pipelines for signal processing that transition from decision-making to action across sending, receiving, and account activities.

• Establish detection rules and policies while ensuring they remain safe to modify.

• Identify and mitigate account takeovers and leaked API keys without disrupting legitimate users.

• Complete the feedback loop by assessing detection accuracy and retiring rules that negatively impact legitimate senders.

• Automate processes for investigations, appeals, and bulk actions.

• Construct and assess machine learning classifiers for spam and phishing, ensuring precision is validated prior to enforcement.

• Implement protective measures and guarantee that actions are traceable through logs, metrics, and audit trails.

• Influence technical decisions and guide projects from initial discovery to final production.

• Work closely with developers utilizing Resend's email platform.

⛳️ Requirements

• Over 5 years of experience in software engineering.

• Proficient in both written and spoken English.

• Extensive expertise in Node.js, TypeScript, React, Hono, and Next.js.

• Experience with Go or a willingness to learn for latency-sensitive services.

• Skills in infrastructure and reliability using AWS, CDK, and Datadog.

• Familiarity with APIs, event-driven architectures, queues, and stateful services.

• Capability to design systems that are fail-safe and consider false positives as bugs.

• Strong skills in observability, including metrics, logs, tracing, and error handling.

• Ability to take full ownership of the stack, from frontend interfaces to databases and queues.

• Demonstrated database experience with Postgres and Redis.

• Experience in trust and safety, fraud, or security is a highly favorable qualification.

• Proven experience in building real-time enforcement solutions like rate limiting or rules engines using policy languages such as CEL is an exceptional advantage.

• Production experience in deploying machine learning or LLM-based detection systems while measuring precision and recall is an exceptional-fit qualification.

• Understanding of email systems, including SPF, DKIM, DMARC, bounces, complaints, and phishing campaigns, is an exceptional advantage.

• Knowledge of performance tuning for Postgres and Redis is a notable exceptional-fit qualification.

🏝️ Benefits

• Fully remote working opportunities.

• Opportunities for travel to team offsites, conferences, meetups, and more.

• Freedom to influence technical decisions and guide projects from discovery to production.

• Collaborate remotely with team members from around the globe.

• Close partnership with developers who implement your designs.

• A culture of thoughtful feedback, shared learning, and mutual support.

• A strong commitment to product quality, reliability, and software usability.