Doppel

AI

SoftwareEngineer,Detection(TOR)

CA$157–367k Toronto, Ontario, Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Software Engineer, Detection (TOR) at Doppel. Skills: backend services, full-stack features, backend language mastery, system design, large data pipelines, backend concerns, observability, debugging, incident response. building and operating backend systems at scale. take ambiguous detection/product problems and deliver reliable production services and UIs”

What You'll Achieve.

deliver reliable production services and UIs; deliver measurable outcomes

Industry & Context.

AI
Problems you'll solve

solve real-world problems; take ambiguous detection/product problems and deliver reliable production services and UIs

Eligibility Requirements

oncall

What They're Looking For.

Must Have

Hands-on experience building production backend services or full-stack features (or equivalent), mastery of at least one backend language (Python, Go, Java, or Node), 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, designing efficient schemas for scale, Deep practical experience with backend concerns: databases (SQL + NoSQL), caching, message queues, rate limiting, retries, and cost/latency tradeoffs, observability, debugging and incident response skills: structured logging, tracing, dashboards, SLOs/alerts, ability to triage and fix production issues

Nice to Have

Kubernetes a plus

What You'll Do.

building and operating backend systems at scale

take ambiguous detection/product problems and deliver reliable production services and UIs

focus on high-throughput ingestion

scoring and alerting pipelines

threat-linking infrastructure

and reliable automation

Work on a wide range of asks that protect billions of people from digital impersonation

Have complete end to end ownership - from directly collecting customer requirements to continuously iterating on shipped releases

Mentor junior engineers

make key product decisions

foster a high-performing team culture

How You'll Work.

Team & Collaboration

collaborate with Operations, Customer Success, Sales, to deliver measurable outcomes

Communication Scope

excellent cross-functional communication

Full Job Description

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 st

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