Software Engineer, Detection (TOR)
Doppel is hiring a Software Engineer, Detection (TOR) in Toronto, Canada. It pays CAD 157k-CAD 367k a year and Level rates it ; you can apply on Doppel.
Level's read on this job
- On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Python, Go and Java among its tools and skills.
- Level classes it as a senior role.
- Doppel has 23 other open roles on Level.
AI in this role
Develop high-throughput ingestion pipelines, detection systems, and backend services for an AI-native security platform.
Why Join Doppel
Doppel is building the future of social engineering defense. Our AI-native platform uses agentic AI to protect executives, employees, customers, and brands from phishing, impersonation, fraud, and other AI-powered threats across digital channels. We help some of the world’s most recognized brands detect and dismantle attacker infrastructure while strengthening employee resilience through threat-informed training and simulation. By unifying Digital Risk Protection, Human Risk Management and Email Security, Doppel connects threats into a real-time intelligence graph to power faster disruption, smarter defense, and modern security awareness at scale.
Backed by leading investors including Andreessen Horowitz and Bessemer Venture Partners, and trusted by leading enterprises, Doppel is a rapidly growing Series C startup building the future of social engineering defense. Our team combines deep cybersecurity expertise, operational rigor, and startup velocity to solve some of the internet’s most urgent trust and safety challenges.
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:
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, and foster a high-performing team culture
What We Offer
🚀 A mission-driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density
🍽️ Free lunch and dinner in the office
🌴 Flexible PTO
✈️ Quarterly team offsites
Join DoppelDoppel is the first platform built to dismantle digital deception at scale. We scan over 150 billion entities daily and deploy continuously adaptive AI SOC agents, paired with expert human analysts, to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. Our Threat Grid turns every customer signal into shared intelligence, making each disruption smarter, faster, and more effective.
We’re not just another cybersecurity company. We’re defining the future of social engineering defense, where trust is protected, and deception becomes unprofitable. Backed by top-tier investors and trusted by some of the world’s most recognized brands, Doppel is growing fast. If you’re driven to solve real-world problems with bold technology, we’d love to meet you.
How we rate this
Software Engineer, Detection (TOR) at Doppel rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
Use the typical software engineer figure as a reference when pay comes up. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where backend was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where system design was part of your work. What did you do?
- Tell me about a project where security was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Backend, Data Pipelines, System Design, and Security. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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