Horizon3.ai

1 day ago

Senior Engineering Manager, Data Processing Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead the Data Processing Platform team that transforms NodeZero pentest telemetry into actionable findings, reports, and insights. You’ll guide a migration from batch processing to real-time, event-driven microservices to accelerate enterprise pentests from weeks to hours. Partner across Product and Attack Engineering, shape technical direction for streaming, storage, and schema evolution, and drive operational excellence with SLOs, observability, and incident response—while staying close to the technical details.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Lead and grow a team of backend and platform engineers migrating post-op processing from batch to real-time, event-driven architecture.
•Partner with Product, Attack Engineering, and adjacent Platform teams to sequence the rework for continuous customer value delivery.
•Shape the technical direction around event streaming, stream processing, storage, schema evolution, and replayable processing.
•Drive operational excellence including SLOs, observability, on-call, and incident response.
•Translate existing batch-era logic (finding enrichment, attack path analysis, reporting) into streaming-friendly designs without loss of fidelity.

Pay and Benefits

Salary: USD 260,000 - 280,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceVisionDentalParental LeaveRemote Work

Key Requirements

•Experience managing backend, data, or platform engineering teams and shipping through the team.
•Strong fundamentals in backend and distributed systems, including data modeling, API design, and queues/streams.
•Comfort with modern cloud infrastructure (AWS preferred), containers, and observability tooling (Datadog or similar).
•Ability to lead through technical ambiguity and drive convergence on designs.
•Clear written communication, with the ability to produce roadmaps, design docs, and postmortems.

Experience:Cybersecurity

Skills:LeadershipWritten communicationCollaborationTechnical decision-makingOperational ownership

Tech Stack:AWSDatadogKafkaPulsarKinesisFlinkPythonGoContainersMicroservices

Company Brief

Horizon3.ai

Builds NodeZero®, an autonomous penetration-testing platform that continuously finds, prioritizes, and verifies exploitable vulnerabilities across on-premises, cloud, and hybrid environments to help organizations reduce security risk.

Industry: Cybersecurity

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2019

Glassdoor: 4.9

Website LinkedIn Glassdoor

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Horizon3.ai

1 day ago

Senior Engineering Manager, Data Processing Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Lead and grow a team of backend and platform engineers migrating post-op processing from batch to real-time, event-driven architecture.
•Partner with Product, Attack Engineering, and adjacent Platform teams to sequence the rework for continuous customer value delivery.
•Shape the technical direction around event streaming, stream processing, storage, schema evolution, and replayable processing.
•Drive operational excellence including SLOs, observability, on-call, and incident response.
•Translate existing batch-era logic (finding enrichment, attack path analysis, reporting) into streaming-friendly designs without loss of fidelity.

Pay and Benefits

Salary: USD 260,000 - 280,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceVisionDentalParental LeaveRemote Work

Key Requirements

•Experience managing backend, data, or platform engineering teams and shipping through the team.
•Strong fundamentals in backend and distributed systems, including data modeling, API design, and queues/streams.
•Comfort with modern cloud infrastructure (AWS preferred), containers, and observability tooling (Datadog or similar).
•Ability to lead through technical ambiguity and drive convergence on designs.
•Clear written communication, with the ability to produce roadmaps, design docs, and postmortems.

Experience:Cybersecurity

Skills:LeadershipWritten communicationCollaborationTechnical decision-makingOperational ownership

Tech Stack:AWSDatadogKafkaPulsarKinesisFlinkPythonGoContainersMicroservices

Company Brief

Horizon3.ai

Industry: Cybersecurity

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2019

Glassdoor: 4.9

Website LinkedIn Glassdoor