# Software Engineer, Detection at Doppel

- Company: Doppel
- What the company does: 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. Backed by Bessemer and a16z.
- Company website: https://www.doppel.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: New York
- Work setup: Remote
- Pay: $150K to $350K base salary per year (USD)
- Posted: 2025-09-05
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/doppel/8df712b8-be0f-4c2e-bb90-b7b5c8fb8407
- Page: https://www.1752.vc/careers/jobs/doppel-software-engineer-detection/

## About the role

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.

## What they're looking for

- 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

Tags: Engineering