Principal Software Engineer, Agentic Data Platform

horizon3ai; United States; Remote; USD 255,000 - 290,000; Full time

Benefits offered by this job

Health coverage

Vision coverage

Dental coverage

Flexible vacation

Parental leave

Stock options

Job summary

horizon3ai is seeking a hands-on database platform leader to set the technical direction for a large-scale PostgreSQL-based cybersecurity data platform. You will write code, create design documents, and establish scalable, secure data layer practices that empower multiple engineering teams.

You will own architecture decisions, define the platform roadmap, set performance and security standards, and mentor engineers through reviews and data-contract alignments across teams. Remote work available.

Qualifications

• Deep, production-proven PostgreSQL expertise including query planning, advanced indexing, partitioning, logical replication, vacuuming at scale, and connection pool tuning.
• Experience designing and operating data systems for substantial scale and complex workloads.
• Ability to make sound architecture decisions for multi-tenant systems where correctness and data isolation are essential.
• Strong hands-on engineering skills including writing production code and clear technical design documents.
• Experience driving engineering standards across teams without direct reporting authority.
• Track record of mentoring engineers and improving database review and migration practices.

Responsibilities

• Define the database platform roadmap with engineering leadership and partner teams.
• Own architecture decisions covering schema design, partitioning, migrations, and scalability.
• Set PostgreSQL standards for query performance, indexing, replication, vacuuming, and connection pooling.
• Guide the evolution of graph-based data models and multi-tenant storage.
• Establish schema reviews and safe, reversible, zero-downtime migration practices.
• Mentor engineers through design reviews, code reviews, and pairing, and coordinate data contracts and performance standards across teams.

Job description

Role overview

Set the technical direction for a large-scale database platform that supports cybersecurity assessment data, including discovered assets, relationships between systems, vulnerability history, and audit-sensitive results. This is a hands-on individual contributor position: you will make architecture decisions, write code and design documents, and establish practices that help multiple engineering teams build a reliable, secure, and scalable data layer.

Responsibilities

• Define the database platform roadmap with engineering leadership and partner teams.
• Own architecture decisions covering schema design, partitioning, migrations, and scalability.
• Set PostgreSQL standards for query performance, indexing, replication, vacuuming, and connection pooling.
• Guide the evolution of graph-based data models and multi-tenant storage.
• Establish schema reviews and safe, reversible, zero-downtime migration practices.
• Mentor engineers through design reviews, code reviews, and pairing, and coordinate data contracts and performance standards across teams.

Requirements

• Deep, production-proven PostgreSQL expertise, including query planning, advanced indexing, partitioning, logical replication, vacuuming at scale, and connection pool tuning.
• Experience designing and operating data systems for substantial scale and complex workloads.
• Ability to make sound architecture decisions for multi-tenant systems where correctness and data isolation are essential.
• Strong hands-on engineering skills, including writing production code and clear technical design documents.
• Experience driving engineering standards across teams without direct reporting authority.
• Track record of mentoring engineers and improving database review and migration practices.

Nice to have

• Cybersecurity data experience, such as vulnerability, network scan, or attack surface models.
• Time-series database experience, analytical or reporting workloads on operational data, or contributions to database tooling.
• Familiarity with data platform compliance requirements.

Benefits and work setup

Fully remote, with travel of up to 5%. The stated annual base salary range is $255,000–$290,000, with possible stock options. Benefits include health, vision, and dental coverage, flexible vacation, and parental leave.