
51 - 200 employees
Founded 2019
đ Cybersecurity
đ¤ Artificial Intelligence
âď¸ SaaS
Cybersecurity ⢠Artificial Intelligence ⢠SaaS
Horizon3. ai is a cybersecurity company that specializes in autonomous penetration testing through its platform, NodeZero. The company's mission is to proactively identify and address attack vectors before they can be exploited, allowing organizations to continuously assess their security posture across various environments including cloud, IoT, and on-premises systems. Founded by veterans from the US Special Operations and National Security sectors, Horizon3. ai offers a self-service SaaS solution that provides organizations with insights into their security vulnerabilities without requiring persistent or credentialed agents.
đĽ 1 minute ago
đşđ¸ United States â Remote
đľ $229k - $270k / year
â° Full Time
đ´ Lead
đ Backend Engineer
đť Ghost score 20%
Airflow
AWS
Azure
Cyber Security
Docker
ETL
Google Cloud Platform
GraphQL
Kubernetes
Neo4j
Prometheus
Python
SQL
Where this job comes from
Posted on Horizon3.ai's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

51 - 200 employees
Founded 2019
đ Cybersecurity
đ¤ Artificial Intelligence
âď¸ SaaS
Cybersecurity ⢠Artificial Intelligence ⢠SaaS
Horizon3. ai is a cybersecurity company that specializes in autonomous penetration testing through its platform, NodeZero. The company's mission is to proactively identify and address attack vectors before they can be exploited, allowing organizations to continuously assess their security posture across various environments including cloud, IoT, and on-premises systems. Founded by veterans from the US Special Operations and National Security sectors, Horizon3. ai offers a self-service SaaS solution that provides organizations with insights into their security vulnerabilities without requiring persistent or credentialed agents.
⢠Set technical direction and architecture for backend systems powering NodeZero's internal pentesting capabilities ⢠Lead backend initiatives from problem definition and design through delivery and production operation ⢠Design reliable processing workflows for large-scale, long-running internal assessments and data workloads ⢠Scale processing and data-access patterns across concurrent workloads with visibility into progress, failures, and throughput ⢠Design and operate high-throughput ETL pipelines transforming attack-team knowledge-graph output into queryable relational datasets ⢠Guide attack-path data models and presentation layers for accurate customer results ⢠Read, optimize, and refactor complex SQL queries ⢠Define and evolve GraphQL and graph-based API patterns ⢠Own operational health, observability, uptime, scalability, release readiness, and on-call response ⢠Drive architecture decisions across team boundaries and write design documents ⢠Align backend investments with product priorities and communicate risks, dependencies, and options ⢠Mentor and unblock engineers through design discussions, code reviews, and technical guidance ⢠Partner with frontend engineers, product managers, and designers to deliver responsive user experiences ⢠Travel up to 5% may be required
⢠Bachelor's Degree in Computer Science, Computer Engineering, or a related field ⢠8+ years of professional software engineering experience using modern object-oriented or functional languages ⢠Demonstrated technical leadership on high-complexity backend or data-platform initiatives ⢠Experience designing, building, and operating production data-processing, ETL, or distributed task-processing systems at scale ⢠Hands-on experience with backend APIs, relational data models, and SQL in production systems ⢠Experience with AWS, Azure, or GCP ⢠Experience using Docker ⢠Experience with Python, SQLAlchemy, versioned migrations, uv, ruff, mypy, and pytest ⢠Experience with orchestration engines such as Temporal, Prefect, Airflow, Celery, or similar ⢠Experience with GraphQL backends and graph databases such as Neo4j ⢠Experience with observability tools such as Datadog, Prometheus, or OpenTelemetry ⢠Experience deploying containerized services in Kubernetes-based production environments ⢠Experience with cybersecurity or internal attack, identity, privilege-escalation, and vulnerability data ⢠Strong technical writing skills ⢠Excellent analytical and problem-solving skills ⢠Must be legally authorized to work in the United States; application asks whether sponsorship will be required
⢠Equity package in the form of stock options for all full-time roles ⢠Health, vision & dental insurance for you and your family ⢠Flexible vacation policy ⢠Generous parental leave ⢠Career development opportunities ⢠Inclusive culture ⢠Collaborative environment encouraging creativity and out-of-the-box thinking ⢠Remote and hybrid work models depending on role and location
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