Join Doppel as a Software Engineer to build scalable backend systems that protect against digital threats.
Posted by employer 5 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Our AI-native platform uses agentic AI to protect against digital threats.
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the Software Engineer will focus on developing and maintaining backend systems that support high-throughput data ingestion, threat detection, and alerting pipelines. Proficiency in backend languages such as Python, Go, or Java, along with experience in building scalable systems and data pipelines, is essential. This position is ideal for engineers with a strong background in production services and a collaborative mindset, as they will work closely with cross-functional teams to enhance security solutions. Doppel's mission-driven culture emphasizes ownership and innovation in tackling digital threats.
Joblaze insights
Quick facts
From the original posting
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
🌴 Flexible PTO
✈️ Quarterly team offsites
Standard company text repeated across Doppel's postings is omitted here.