Software Engineer, Trust & Safety

Accountabilities:

• Build and operate real-time enforcement systems that evaluate and act on potential abuse within strict millisecond-level latency requirements.
• Design scalable detection pipelines that transform signals from email sending, receiving, and account activity into decisions and automated actions.
• Develop, maintain, and improve detection rules and enforcement policies, ensuring they can be updated safely and evaluated consistently.
• Detect and contain account takeovers and leaked API keys by identifying suspicious behavioral changes and limiting potential damage while avoiding unnecessary account lockouts.
• Establish feedback mechanisms that record the reasons behind enforcement decisions and reversals, measure detection precision, and identify rules that negatively affect legitimate senders.
• Automate manual workflows, including investigations, appeals, and bulk enforcement actions, to improve operational efficiency as platform usage grows.
• Build, evaluate, and deploy machine learning classifiers for spam and phishing detection, validating their precision before enabling automated enforcement.
• Implement safeguards that reduce false positives and ensure enforcement decisions are reliable, explainable, and reversible where appropriate.
• Maintain comprehensive observability through structured logs, metrics, tracing, error handling, and audit trails for all enforcement activities.
• Contribute across the full technology stack, including frontend interfaces, backend services, databases, queues, and supporting infrastructure.
• Collaborate with engineering colleagues and developers using the platform to understand real-world needs and deliver effective, dependable solutions.
• Take ownership of projects from discovery and technical design through implementation, production deployment, and continuous improvement.

Requirements:

• At least five years of professional software engineering experience.
• Strong written and spoken English communication skills.
• Deep hands-on experience with Node.js, TypeScript, and React, ideally including frameworks such as Hono and Next.js.
• Experience with Go or a strong willingness to use it for latency-sensitive backend services.
• Solid infrastructure and reliability engineering skills, including experience with AWS, AWS CDK, and Datadog.
• Strong understanding of APIs, event-driven architectures, queues, and stateful services.
• Experience designing resilient systems that fail safely, with an emphasis on treating false positives as defects that must be investigated and addressed.
• Strong observability practices, including metrics, logging, distributed tracing, error handling, and production monitoring.
• Ability to take ownership across the stack, from frontend applications to backend services, databases, and messaging infrastructure.
• Proven experience working with PostgreSQL and Redis.
• Preferred: Previous experience in trust and safety engineering, fraud prevention, cybersecurity, or abuse detection.
• Preferred: Experience building real-time enforcement systems, such as rate limiting, or rules engines using policy languages such as CEL.
• Preferred: Experience deploying machine learning or large language model-based detection systems in production, including measuring precision and recall.
• Preferred: Knowledge of email security and deliverability concepts, including SPF, DKIM, DMARC, bounces, complaints, and phishing campaigns.
• Preferred: Experience with PostgreSQL and Redis performance tuning.

Benefits:

• Fully remote working arrangement for candidates based in the Americas or European time zones, subject to role eligibility.
• Annual compensation of $150,000–$175,000 USD, depending on location and experience.
• Opportunity to influence technical architecture and engineering decisions.
• Ownership of projects from discovery through production deployment.
• Close collaboration with developers who use the platform and benefit directly from the systems you build.
• A globally distributed team that values thoughtful feedback, shared learning, and mutual support.
• A strong focus on software quality, infrastructure reliability, and excellent developer experience.
• Opportunities to attend team offsites, conferences, meetups, and other professional gatherings, with some travel expected.