Software Engineer, Detection (TOR)

Why Join Doppel

Doppel is built to outsmart one of the great threats AI presents: mass-manufactured social engineering. Countless scams, deepfakes, and other social engineering attacks are surging across every digital channel: websites, social media, ads, encrypted messaging apps, mobile, and more. Our mission is simple but bold: make the internet a safer place by outsmarting the world’s fastest-evolving digital threats. Backed by a16z and Bessemer and trusted by some of the world’s most recognized brands (OpenAI, United Airlines, Coinbase, etc.), Doppel is growing fast. If you’re driven to solve real-world problems with bold technology, we’d love to meet you. What We're Building

We're building the AI-native social engineering defense platform. This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats. What We're Looking For

We’re looking for passionate engineers who love building and operating backend systems at scale - someone who can take ambiguous detection/product problems and deliver reliable production services and UIs that help our ops and customers find and remediate threats. You’ll focus on high-throughput ingestion, enrichment, scoring and alerting pipelines, APIs and dashboards, threat-linking infrastructure, and reliable automation that the stakeholder teams use every day. - Hands-on experience building production backend services or full-stack features (or equivalent). Proven record of shipping end-to-end: design → implementation → testing → monitoring → oncall. - Strong mastery of at least one backend language (Python, Go, Java, or Node) and comfort with web APIs, async processing, and service frameworks. - Solid system design skills: experience architecting scalable, fault-tolerant systems (sharding, caching, queueing, idempotency, backpressure). - Experience building and operating large data pipelines (batch or streaming), working with warehouses or OLAP systems for analytics, and designing efficient schemas for scale. - Deep practical experience with backend concerns: databases (SQL + NoSQL), caching, message queues, rate limiting, retries, and cost/latency tradeoffs. - Strong observability, debugging and incident response skills: structured logging, tracing, dashboards, SLOs/alerts, and the ability to triage and fix production issues. - Product ownership and excellent cross-functional communication — you’ll collaborate with Operations, Customer Success, Sales, to deliver measurable outcomes. As part of our Toronto team, you’ll: