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.
The Sr. Software Engineer on the Data Ingestion team builds and maintains the pipelines that transform raw pentest output into structured, queryable data across the NodeZero platform. NodeZero runs thousands of autonomous pentests — your pipelines are the first link in the chain between execution engine results and the insights customers see. You'll work on high-throughput ETL systems that normalize heterogeneous scan data, push structured findings to graph and relational stores, and feed downstream systems including Asset Inventory, reporting, and analytics.
This role reports to the Data Ingestion Engineering Manager and works alongside a small team of backend engineers including one P5 technical anchor.
ResponsibilitiesDesign, implement, and operate data ingestion pipelines that process pentest results at scale — scan output, discovered assets, vulnerability findings, and network topology data
Own end-to-end delivery of pipeline features: schema design, implementation, testing, deployment, and monitoring
Build and maintain ETL components in Go and/or Python that normalize heterogeneous inputs from NodeZero's execution engines
Partner with the Asset Inventory and Data Platform teams to define and evolve the data contracts that connect ingestion to downstream consumers
Diagnose and resolve production issues in pipeline latency, data correctness, and throughput
Contribute to code and design reviews; provide engineering guidance to P3 engineers on the team
5+ years of professional software engineering experience with production backend systems
Strong Go and/or Python proficiency — this team's primary languages
Demonstrated experience building and operating data pipelines or ETL systems in production (streaming or batch)
Working knowledge of message queues or event streaming systems (Kafka, RabbitMQ, or equivalent)
Experience with relational databases (PostgreSQL or equivalent) — schema design, query optimization, migrations
Familiarity with graph databases or graph data models is a strong asset
Understanding of data normalization trade-offs, schema evolution, and backward compatibility
Experience running services on Kubernetes and containerized environments (Docker)
Comfort deploying and debugging distributed systems in AWS or equivalent cloud
Operational mindset: you instrument your code, write runbooks, and own your services through their full lifecycle
Ability to work across team boundaries: you define data contracts with downstream consumers, not just ship to a queue and walk away
Clear written communication — design docs, PR descriptions, and async updates to distributed teammates
Experience in cybersecurity, security tooling, or working with vulnerability or threat data
Exposure to graph databases (Neo4j, DGraph, or equivalent)
Experience with Apache Kafka or similar event streaming platforms at production scale
Background in offensive security tools or pentest workflows — you'll understand the data you're ingesting
We are a fully remote company, and this job may require up to 5% of travel to be successful.
At Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.
In accordance with various State's transparency regulations, we provide the following salary range information for this position:
Base salary range: $199,750 - $260,000 annually. The exact salary will be determined based on the selected candidate's location, qualifications, experience, and relevant skills.
Additional compensation: All full-time roles are eligible for an equity package in the form of stock options.
Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.
Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.
Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.
Hybrid & Remote Work: We embrace a mix of remote and hybrid work models depending on role and location, including our Chicago office, where some roles require regular in-office presence.
Competitive Compensation: We offer competitive salary and benefits which includes health, vision & dental care for you and your family, a flexible vacation policy, and generous parental leave.
Horizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, or any other legally protected status by law.
Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.
We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.
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.
Skills Required
- 5+ years of professional software engineering experience with production backend systems
- Strong proficiency in Go and/or Python
- Experience building and operating production data pipelines or ETL systems, using streaming or batch processing
- Working knowledge of message queues or event streaming systems such as Kafka or RabbitMQ
- Experience with relational databases such as PostgreSQL, including schema design, query optimization, and migrations
- Familiarity with graph databases or graph data models
- Understanding of data normalization trade-offs, schema evolution, and backward compatibility
- Experience running services on Kubernetes and in containerized environments using Docker
- Experience deploying and debugging distributed systems in AWS or an equivalent cloud
- Ability to instrument code, write runbooks, and own services through their full lifecycle
- Ability to define data contracts and collaborate across team boundaries
- Clear written communication for design documents, pull request descriptions, and asynchronous updates
- Experience in cybersecurity, security tooling, or vulnerability or threat data
- Exposure to graph databases such as Neo4j or DGraph
- Production-scale experience with Apache Kafka or similar event streaming platforms
- Background in offensive security tools or penetration testing workflows
Horizon3.ai Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Horizon3.ai and has not been reviewed or approved by Horizon3.ai.
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Fair & Transparent Compensation — Pay is considered competitive across key roles, with employer language and role ranges positioning compensation as market-aligned. Feedback suggests compensation is viewed favorably, particularly in technical positions.
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Equity Value & Accessibility — Equity is positioned as a core part of total rewards, with stock options broadly available to full-time employees. Feedback suggests equity and related programs enhance overall compensation.
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Leave & Time Off Breadth — Time off is described as at least four weeks plus generous holidays and vacation packages globally. Feedback suggests this breadth of leave contributes to positive perceptions of total rewards.
Horizon3.ai Insights
What We Do
Horizon3.ai's mission is to help you find and fix attack vectors before attackers can exploit them. NodeZero, our autonomous penetration testing solution, enables organizations to continuously assess the security posture of their enterprise, including external, identity, on-prem, IoT, and cloud attack surfaces. Like APTs, ransomware, and other threat actors, our algorithms discover and fingerprint your attack surface, identifying the ways exploitable vulnerabilities, misconfigurations, harvested credentials, and dangerous product defaults can be chained together to facilitate a compromise. NodeZero is a true self-service SaaS offering that is safe to run in production and requires no persistent or credentialed agents. You will see your enterprise through the eyes of the attacker, identify your ineffective security controls, and ensure your limited resources are spent fixing problems that can actually be exploited. Founded in 2019 by industry, US Special Operations, and US National Security veterans, Horizon3.ai is headquartered in San Francisco, CA, and made in the USA.


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