About the Job
Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assess...
We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, "checkbox” security culture, c...
Key Responsibilities
You will lead the Database Platform team — the engineering team responsible for the data infrastructure that underpins every NodeZero pentest, finding, and report. NodeZero operates at scale: millions of discovered assets, tens of millions of vulnerability findings, and audit-critical data that our customers rely on to remediate risk. The Database Platform team owns the design, operation, and reliability of our core data layer — currently PostgreSQL as the primary store and Neo4j for the asset graph, with time-series and analytical stores on the roadmap as NodeZero's data volume and use cases grow. You will lead a team of ~8 engineers including a Principal Engineer, and you will build this team from a strong foundation into a fully staffed, world-class data platform organization.
Team Building & Culture: Hire, mentor, and grow the Database Platform team to full capacity. Establish database engineering norms and a culture of ownership for engineers who share responsibility for the most critical data layer in our stack.
Data Architecture: Partner with the Principal Engineer to define the technical direction for NodeZero's data platform — schema design standards, query patterns, migration strategies, and scalability principles.
Reliability & Operations: Own SLOs for database availability, query latency, and data integrity across production environments. Drive oncall maturity and runbook quality.
Data Modeling & Schema Governance: Establish schema review processes and data modeling standards. Ensure NodeZero's data model evolves cleanly as new pentest capabilities ship.
Cross-team Partnership: Collaborate with Data Ingestion, Security Research, and API Platform teams to align on data contracts, API design, and pipeline dependencies.
Act as a Product Owner: Translate data platform needs from Security Research and Product into a clear, prioritized engineering roadmap.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Required Skills & Abilities
Demonstrated experience leading teams that design, scale, and operate relational databases (PostgreSQL preferred) and hybrid data stores (graph, time-series, or document) in production at scale.
Experience defining schema migration strategies for high-velocity production environments with zero-downtime requirements.
Experience with multi-tenant data architectures: customer data isolation, row-level security, and data residency concerns.
Strong understanding of database performance: query optimization, indexing strategies, EXPLAIN analysis, and connection pooling.
Proficient in Go, Python, or SQL (deep expertise).
Production experience with PostgreSQL at scale: partitioning, logical replication, pg_bouncer/pgpool, read replicas.
Experience with AWS data services: RDS/Aurora, DynamoDB, ElastiCache, or equivalent.
Familiarity with graph databases (Neo4j, AWS Neptune) or time-series stores (TimescaleDB, InfluxDB) is a strong plus.
Kubernetes and containerized database operations — stateful workload management.
Background in cybersecurity data, threat intelligence feeds, or vulnerability databases.
Experience with data platform compliance: SOC 2, FedRAMP, or GDPR/CCPA data handling requirements.
Familiarity with analytical query patterns: BI tooling, OLAP workloads, or customer-facing analytics.
Experience operating databases in multi-region or active-active configurations.
We are a fully remote company, and this job may require up to 5% of travel to be successful.
