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Software Engineer, Detection

Join Doppel as a Software Engineer to build scalable backend systems that protect against digital threats.

Location
New York
Compensation
Not disclosed
Level
mid
Type
full time · On-site

Posted by employer 1 year ago

First seen on Joblaze 1 month ago

Last verified on the company career page 1 day ago

Apply at Doppel → Save job Scanned from doppel.com

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

Quarterly team offsites Flexible PTO Free lunch and dinner in the office

Joblaze summary

In this role, the Software Engineer focuses on developing and maintaining backend systems that support Doppel's AI-driven platform for social engineering defense. Key skills include proficiency in backend languages like Python or Go, experience with large data pipelines, and a solid understanding of system design principles. This position is ideal for engineers with a strong background in building scalable production services and a passion for cybersecurity, particularly those looking to take ownership of their projects and mentor junior team members.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Doppel's careers page October 27, 2026.
  • Python appears in 43.3% of 254 comparable mid backend roles in United States; message queues appears in 0.4% of 254 comparable mid backend roles in United States.

Quick facts

Is the Software Engineer, Detection role remote?
No — this is an on-site role in New York.
Where is the role based?
Doppel is hiring for this position in New York.
What's the tech stack?
Joblaze extracted these technologies from the posting: Go, Java, NoSQL, Node, Python, SQL.
What seniority level is this role?
Doppel targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Software Engineer, Detection role at Doppel.

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 NY 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.

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