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Horizon3.ai

Autonomous pentesting SaaS for vulnerabilities

Senior Backend Engineer - Autonomous Defense

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • A bachelor's degree in Computer Science, Computer Engineering, or a related field.
  • At least 7 years of professional software engineering experience using modern object-oriented or functional languages such as Python, Go, Scala, C++, or TypeScript.
  • Experience building applications on cloud computing platforms such as AWS, Azure, or GCP, using container technologies such as Docker and Kubernetes.
  • Expert proficiency in SQL.
  • Demonstrated experience designing and operating distributed systems in production, including asynchronous workflows, queues, retries, idempotency, and partial failure.
  • A track record of shipping and operating production services, including on-call ownership.

Responsibilities

  • Build and own the agent execution runtime, including durable, resumable, long-running workflows with checkpointing, idempotent steps, cancellation, and timeouts at both the step and run level.
  • Design and implement the tool layer that agents act through, including a registry with versioning, schema validation, per-tenant enablement, and server-side authorization rather than authorization enforced by the model.
  • Build the connector framework for third-party security control planes, including endpoint detection and response, firewalls, identity, security information and event management, and cloud identity and access management.
  • Implement the safe-change pipeline, including dry runs and simulation, blast-radius classification, approval gates for high-impact actions, staged rollout, rollback, and an immutable per-tenant audit trail.
  • Extend NodeZero's tenant isolation model to agents that take write actions, covering execution boundaries, egress control, quotas, and cross-tenant leakage in caches, indexes, and logs.
  • Develop core product features in extract, transform, and load (ETL) and GraphQL to support data processing and retrieval for agent context, run history, and remediation state.
  • Build ETL pipelines that turn penetration testing and remediation outcomes into datasets researchers train and evaluate against.
  • Instrument the platform with distributed tracing across an agent run, per-tenant cost and token accounting, and tooling to determine why an agent acted as it did.
  • Partner with AI researchers, attack engineers, and product teams to take capabilities from prototype to production, and provide platform constraints to research direction early.

Desired Qualifications

  • Experience building agentic or large language model-backed systems in production.
  • Experience with a durable execution or workflow engine such as Temporal, or having built equivalent checkpointing independently.
  • Experience building multi-tenant platforms with hard isolation requirements, workload identity, and short-lived credential brokering.
  • Experience integrating a long tail of third-party APIs behind a normalized abstraction.
  • Familiarity with security control planes and their APIs, including endpoint detection and response tools such as CrowdStrike, SentinelOne, and Microsoft Defender; firewalls; security information and event management; and cloud identity and access management.
  • Experience with relational databases such as PostgreSQL and graph databases such as Neo4j, and experience building GraphQL backends.
  • Experience with observability tooling such as Datadog, Prometheus, and Grafana, and distributed tracing.
  • Awareness of prompt injection and untrusted-input handling in systems where an agent consumes data from the environment it operates in.

About the Company

Horizon3.ai

Autonomous pentesting SaaS for vulnerabilities

Horizon3.ai specializes in cybersecurity by offering NodeZero, a SaaS platform for autonomous penetration testing. It lets enterprises simulate cyber-attacks on their own systems in a self-service way, without installing persistent agents, and without ongoing human intervention. The platform works by running security-focused attack simulations in production environments to uncover exploitable vulnerabilities and weak controls, delivering vulnerability assessments, threat simulations, and compliance-oriented testing through tiered subscription plans. This approach differentiates Horizon3.ai from traditional pentesting by being self-service, agentless, and safe to run in live environments, while targeting enterprise customers that must meet standards such as PCI DSS. The company aims to help organizations improve their security posture, prioritize remediation, and maintain regulatory compliance by continuously identifying and fixing weaknesses.

Company size
501-1,000
Company stage
Series E
Total funding
$437M
Headquarters
San Francisco, CA
Founded
2019

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