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Data Engineer
Detections Ai
United StatesRemote9mo ago
- Employment
- Full-time
About the role
- Backend services end-to-end – from first design sketch to production deployment.
- High-throughput data pipelines that transform messy security telemetry into clean, enriched streams.
- Integrations with SIEMs, EDRs, and security platforms that make our product the connective tissue of the modern security stack.
- Cross-team collaboration with frontend, AI, and detection engineers to ensure data becomes truly actionable.
- Core architecture and APIs that other engineers (and customers) will build on every day.
- Have 5+ years building and scaling backend systems that handle real-world complexity.
- Are fluent in Python (FastAPI preferred) and cloud-native development on AWS or GCP.
- Can design data models and transformation logic for complex, real-time workflows.
- Build with resilience, security, and performance as first principles.
- Thrive in a high-context, low-process environment where speed and ownership matter.
- Have hands-on experience with SIEMs, SOARs, detection pipelines, or IR tools.
- Have worked with event streaming/orchestration systems (Kafka, Kinesis, Airflow).
- Understand security-first architecture (RBAC, audit logs, multi-tenancy).
- Have built on OpenSearch or DynamoDB for large-scale, fast data access.
- Frontend: React.js, Tailwind CSS, TypeScript
- Middle Layer: Node.js, TypeScript
- Backend: Python (FastAPI)
- Infra & DevOps: AWS, GCP, Docker, Terraform, GitHub Actions
- Data: OpenSearch, DynamoDB
- AI Agents: Gemini, Anthropic, OpenAI
- Tooling: Figma, Storybook, CI/CD pipelines
- Remote-first with meaningful equity
- Build for real users: Work side-by-side with detection engineers.
- Own meaningful problems: Architect the systems that make detections possible.
- Move fast without red tape: Small, high-context team with outsized impact.
- Shape product and culture: Your work is foundational to the company’s success.
Perks & benefits
- Equity Compensation
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