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Senior Engineering Manager, Data Processing Platform

horizon3ai · Remote
RemoteFull-timeEngineeringTechnology$179,000–$241,000/yr
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About the Senior Engineering Manager Data Processing Platform role

Senior Engineering Manager Data Processing Platform positions focus on delivering results in their domain. This page aggregates open Senior Engineering Manager Data Processing Platform roles and what employers typically expect.

Get to Know Us Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM 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 ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, 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. WHAT YOU'LL DO We're looking for an Engineering Manager to lead the Data Processing Platform team — the group responsible for how NodeZero turns raw pentest telemetry into the findings, reports, and insights our customers act on. As Horizon3 has grown in both customer count and customer size, pentest execution and data processing times scaled as well. Your team is taking on one of the most impactful architectural changes in Horizon3's history: reworking pentest data processing from a batch system into a real-time, event-driven microservice architecture. The goal is to make Horizon3 best-in-class for enterprise pentests at scale — handling hundreds of thousands of hosts and streaming findings as they're discovered. Customers will go from waiting weeks for insights to getting them in hours, fundamentally transforming how the entire product suite feels to use. This work combines platform engineering to build the infrastructure foundation with cybersecurity domain understanding to translate years of batch-centric business logic into real-time processing. IN THIS ROLE, YOU WILL: - Lead and grow a team of backend and platform engineers migrating post-op processing from a batch system to a real-time, event-driven architecture. - Partner with Product, Attack Engineering, and adjacent Platform teams to sequence the rework so customer value ships continuously rather than as one big-bang cutover. - Work with senior engineers on the team to shape the technical direction: event streaming, stream processing, storage, schema evolution, and replayable processing. - Invest in operational excellence — SLOs, observability, on-call, and incident response — as this system becomes central to every pentest Horizon3 runs. - Help translate existing batch-era logic (finding enrichment, attack path analysis, reporting) into streaming-friendly designs without regressing fidelity. - Recruit, mentor, and retain engineers who care about both distributed systems craft and the security domain. - Establish healthy team practices: design reviews, technical writing, clear API contracts with neighboring teams, and durable decision records. This is a good opportunity for a manager who still enjoys being close to the technical details and wants to grow alongside a team tackling a meaty data platform rebuild. WHAT YOU'LL BRING - Experience managing backend, data, or platform engineering teams, with a track record of shipping through the team. - Solid fundamentals in backend and distributed systems: data modeling, API design, queues/streams, and the tradeoffs between batch and streaming. - Comfort with modern cloud infrastructure (AWS preferred), containers, and observability tooling (Datadog or similar). - Ability to lead through technical ambiguity — you can facilitate a design discussion, help th…

Salary estimate

$179,000 – $241,000/yr
Provided by the employer.

Skills for this role

GOAWSSecurity

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