Doppel
CybersecurityDirect Ashby career site

Software Engineer, Detection

Location
New York City, NY (Remote) · On-site
Job type
Full-time
Level
Mid-level
Listed
22 days ago

Skills & highlights for this role

  • high-throughput data pipelines
  • backend services
  • distributed systems design
  • observability and incident response

Also useful

  • Python
  • Go
  • Java
  • Node

Stated benefits & perks

  • Free meals
  • Flexible pto

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 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

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 DOPPEL

Doppel 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.

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.

Read the original posting

From Doppel's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

Where is the Software Engineer, Detection job at Doppel located?

Yes, this Software Engineer, Detection opening at Doppel is listed as New York City, NY (Remote) (On-site). Always check Doppel's application page for specific state eligibility or relocation policies.

What qualifications are required for Software Engineer, Detection at Doppel?

For the Software Engineer, Detection role, Doppel highlights experience with high-throughput data pipelines, backend services, distributed systems design, observability and incident response. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Software Engineer, Detection position at Doppel?

This listing links directly to Doppel's Ashby application page. You can apply directly on Doppel's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.