About the Job
Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZero™ platform, delivers production-safe autonomous pentests and other key assessment...
We are a fusion of former U.S. Special Operations cyber operators, startup engineers & operators, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools and false positives, resulting in alert fatigue, blind spots, "checkbox" sec...
As a remote first company, we require minimum 25Mbps consumer grade broadband connection.
Key Responsibilities
The Staff Engineer on the DB Platform team is the technical anchor for database architecture and reliability across Horizon3. NodeZero runs thousands of pentests generating enormous volumes of structured data — vulnerability findings, asset graphs, scan histories, time-series telemetry, and customer configurations. Every team at Horizon3 depends on the data stores this team builds and operates. You will set the technical direction for how Horizon3 designs, provisions, scales, and operates its database systems — from PostgreSQL and graph databases to time-series stores.
This is a hands-on staff-level role. You will write production code, produce architecture designs, drive critical performance and reliability decisions, and mentor engineers through the craft of database engineering. The team is building from a small but strong foundation — your job is to raise the technical bar dramatically as the data volumes and query complexity grow. This role reports to the Data Platform Engineering Manager.
Database Architecture: Set the technical direction for Horizon3's database systems — schema design philosophy, data modeling standards, indexing strategies, and query contract design across teams
Performance Engineering: Own query performance across the platform — identify slow queries, produce execution plan analyses, implement fixes, and design the observability systems that catch regressions early
Reliability & Operations: Own the reliability engineering for all data stores — replication, failover, backup validation, capacity planning, and database incident response
Migration Engineering: Design and own the migration framework that makes schema evolution safe in production — zero-downtime migrations, reversible changes, and migration testing standards
Cross-team Enablement: Serve as the database expert for application engineering teams — review their schemas, query patterns, and ORM usage; set the access patterns that prevent problems from reaching production
Mentorship: Mentor P4 engineers through design review, code review, and deep technical pairing; be the person the team turns to when they hit a hard database problem
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
8+ years of professional software engineering experience with deep specialization in database systems and data infrastructure
Expert-level PostgreSQL proficiency — you have tuned complex production query plans, managed replication topology, and debugged the hardest vacuum and locking issues
Deep understanding of database architecture trade-offs: normalization vs. denormalization, indexing strategies (partial, composite, covering), partitioning, and connection pooling at scale
Experience designing zero-downtime migration workflows in high-volume production environments
Experience with graph databases (Neo4j or equivalent) — NodeZero's asset model is fundamentally graph-structured and you need to be comfortable in that paradigm
Proficiency with time-series or columnar stores (ClickHouse, TimescaleDB, or equivalent) for high-throughput analytics workloads
Track record running database systems in Kubernetes or cloud-managed environments (RDS, Cloud SQL, or equivalent) at production scale
Proficiency in Go or Python for building tooling, access layers, and migration infrastructure
Track record of setting engineering standards that other engineers adopt — database design guidelines, query review checklists, schema governance patterns
Ability to produce clear architecture documents and drive database design decisions across team boundaries
Experience mentoring mid-level engineers through database design review and code review
Experience building multi-tenant database architectures where customer data isolation is a hard requirement
Background in cybersecurity or experience storing and querying vulnerability, asset, or network topology data at scale
Familiarity with eBPF-based database observability tools or advanced profiling approaches
Experience with vector databases or embedding stores for ML-adjacent infrastructure
We are a fully remote company, and this job may require up to 5% of travel to be successful.
Qualifications
Experience:
8 years experience
