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Software Engineer, Trust & Safety

Resend - Remote - Remote - posted 2026-10-08

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Salary: USD 150,000 - 175,000 / annual

Resend is a modern email sending platform for developers, with over 4 million users. The company is building infrastructure and tooling to make email better for developers, with a focus on dependability, design, and developer experience. In this role, you will build and operate anti-abuse systems that protect the platform from bad actors while keeping it open for legitimate senders. You'll own the full stack of trust and safety engineering: real-time enforcement layers operating within millisecond latency budgets, detection pipelines that scale with platform growth, and automations that move from detection to action without manual intervention. Key responsibilities include: - Building real-time enforcement systems with strict latency constraints - Designing signal-to-decision-to-action pipelines across sending, receiving, and account activity - Creating detection rules and policies that are safe to modify and iterate on - Detecting and containing account takeovers and leaked API keys by identifying behavioral anomalies - Closing feedback loops: every enforcement action carries reasoning for measurement and iteration - Automating investigations, appeals, and bulk actions to scale with volume - Building and evaluating ML classifiers for spam and phishing detection - Implementing comprehensive audit trails, logging, metrics, and traceability for all actions You'll work with a fully remote team of 50 spanning 15 countries, backed by a16z and Y Combinator. The role offers room to shape technical decisions, close collaboration with developers using your systems, and a high bar for product quality and reliability. REQUIREMENTS: - 5+ years of software engineering experience - Fluent English (written and spoken) - Deep experience with Node.js, TypeScript, and React frameworks (Hono, Next.js) - Ability to write Go or willingness to learn for latency-sensitive services - Infrastructure and reliability skills (AWS, CDK, Datadog) - Comfort with APIs, event-driven architectures, queues, and stateful services - Experience designing systems that fail safely; treating false positives as bugs - Strong observability mindset: metrics, logs, tracing, error handling - Full-stack ownership from frontend to databases and queues - Proven experience with Postgres and Redis EXCEPTIONAL FIT (preferred): - Prior experience in trust and safety, fraud, or security - Built real-time enforcement systems (rate limiting, rules engines with policy languages like CEL) - Shipped ML or LLM-based detection in production with precision/recall measurement - Email protocol knowledge (SPF, DKIM, DMARC, bounces, complaints, phishing campaigns) - Database performance tuning expertise (Postgres, Redis)

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