Description
We’re building tools that make email better for developers. We care about dependable infrastructure, thoughtful design, and the experience of everyone building with our products.
In this role you'll build the anti-abuse systems that keep the company open for good senders and closed to bad actors: real-time enforcement on every email, detection pipelines that scale with the platform, and automations that go from detection to action without waiting on a human.
This role is fully remote based in Americas or European timezones, with some expected travel for team offsites, conferences, meetups, and more.
Read more about how we work, how we hire, and what we value here .
In this role, you will…
Build and run the real-time enforcement layer within a latency budget of milliseconds
Design pipelines that move from signal to decision to action, across sending, receiving and account activity
Build the detection rules and policies that decide when we act, and make them safe to change
Detect and contain account takeover and leaked API keys: notice when a trusted account stops acting like itself, and stop the damage without locking out the real owner
Close the feedback loop: every block and every reversal carries a reason, so we can measure each detection's precision and retire the ones that hurt good senders
Automate manual work such as investigations, appeals and bulk actions, so the team keeps up as volume grows
Build and evaluate ML classifiers for spam and phishing, and prove their precision before they enforce anything
Implement safeguards and make every action traceable through logs, metrics and audit trails
Ensure all enforcement actions are traceable with logs, metrics, and audit trails
You’ll be a great fit if you…
Bring 5+ years of software engineering experience
Are fluent in writing and speaking English
Have deep experience with Node.js, TypeScript, React (Hono, Next.js)
Write Go, or want to, for latency-sensitive services
Have infrastructure and reliability skills (AWS, CDK, Datadog)
Are comfortable with APIs, event-driven architectures, queues and stateful services
Design systems that fail safe, and treat a false positive as a bug
Care deeply about observability: metrics, logs, tracing, error handling
Take ownership across the stack, from frontend surfaces down to databases and queues
Have proven experience with databases (Postgres, Redis)