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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 week 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

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

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 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.

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