Software Engineer – Trust & Safety

atResendRemoteEuropeFull-timeFull-stack EngineerMid-levelSenior$150k – $175k/year

Posted 2 days ago

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

πŸ“‹ Description

β€’ Develop and manage the real-time enforcement layer while adhering to a millisecond latency requirement.

β€’ Architect signal-to-decision-to-action workflows that encompass sending, receiving, and account activities.

β€’ Create detection rules and policies, ensuring they are safe for modification.

β€’ Identify and mitigate account takeover attempts and compromised API keys.

β€’ Assess detection accuracy and phase out detections that adversely impact legitimate senders.

β€’ Streamline investigations, appeals, and bulk actions through automation.

β€’ Construct and assess machine learning classifiers for spam and phishing detection.

β€’ Establish safeguards and guarantee that actions are traceable via logs, metrics, and audit trails.

β€’ Oversee projects from initial discovery to full production.

β€’ Work in close partnership with developers utilizing Resend’s email platform.


⛳️ Requirements

β€’ A minimum of 5 years of experience in software engineering.

β€’ Proficient in both written and spoken English.

β€’ Extensive experience with Node.js, TypeScript, React, Hono, and Next.js.

β€’ Familiarity with Go or a willingness to learn the language.

β€’ Skills in infrastructure and reliability, particularly with AWS, CDK, and Datadog.

β€’ Background in APIs, event-driven architectures, queues, and stateful services.

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

β€’ Experience in observability, including metrics, logs, tracing, and error management.

β€’ Full-stack ownership encompassing frontend interfaces to databases and queues.

β€’ Proven expertise with Postgres and Redis.

β€’ Prior experience in trust and safety, fraud, or security is advantageous for an exceptional fit.

β€’ Experience in creating real-time enforcement mechanisms such as rate limiting or rules engines is preferred for an exceptional fit.

β€’ Production experience in deploying ML or LLM-based detection and evaluating precision and recall is preferred for an exceptional fit.

β€’ Understanding of email technologies such as SPF, DKIM, DMARC, bounces, complaints, and phishing campaigns is preferred for an exceptional fit.

β€’ Knowledge of performance tuning for Postgres and Redis is preferred for an exceptional fit.


🏝️ Benefits

β€’ Opportunity for fully remote work.

β€’ Travel for team offsites, conferences, meetups, and other events.

β€’ Flexibility to influence technical decisions and guide projects from inception to execution.

β€’ Close collaboration with the developers who implement what you create.

β€’ A culture of shared learning and constructive feedback.

β€’ Work alongside global colleagues in a remote setting with teammates from around the world.

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