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Salary
≈ $75k – $179k per year (Estimated)
Location
In office (Toronto)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on May 17, 2026. Doppel scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Outpace AI-driven attacks. Unify Digital Risk Protection, Human Risk Management, and Email Security to stop digital threats before they scale, empower your teams to lead your defense, and scale your SOC with agentic AI.

Join our team as a Software Engineer (Detection) and play a crucial role in protecting billions of people from digital impersonation. You will have complete end-to-end ownership of your projects, from collecting customer requirements to continuously iterating on shipped releases. You will also mentor junior engineers, make key product decisions, and foster a high-performing team culture. Enjoy a range of benefits, including health coverage, flexible time off, paid parental leave, office perks, a cell stipend, and a home office setup.

Missions

  • Concentrer sur l'ingestion, l'enrichissement, le scoring et les pipelines d'alerte, ainsi que sur l'infrastructure de liaison des menaces.
  • Travailler sur une large gamme de demandes pour protéger des milliards de personnes contre l'usurpation numérique.
  • Assumer la responsabilité complète du processus, de la collecte des exigences à l'itération continue des versions expédiées.

Profil recherché

- Strong observability, debugging and incident response skills: structured logging, tracing, dashboards, SLOs/alerts, and the ability to triage and fix production issues

- Solid system design skills: experience architecting scalable, fault-tolerant systems (sharding, caching, queueing, idempotency, backpressure)

- Strong mastery of at least one backend language (Python, Go, Java, or Node) and comfort with web APIs, async processing, and service frameworks

- 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

- Product ownership and excellent cross-functional communication - you’ll collaborate with Operations, Customer Success, Sales, to deliver measurable outcomes

- 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

- 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

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