Staff Software Engineer, Database Platform

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 operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by IT Ops/SecOps teams, consulting pentesters, and MSSPs and MSPs.

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" security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn-it-alls, committed to a culture of respect, collaboration, ownership, and results.

As a remote first company, we require minimum 25Mbps consumer grade broadband connection.

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.

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• 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.

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.

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