Senior Engineering Manager, Data Processing Platform

Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to enabling organizations to proactively find and fix exploitable attack vectors. They are seeking a Senior Engineering Manager to lead the Data Processing Platform team, responsible for transforming pentest data processing into a real-time, event-driven architecture.

Responsibilities:

• 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

Requirements:

• 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 the team converge, and know when to dig in yourself
• Clear written communication: you can put together a roadmap, a design doc, or a postmortem the rest of the company can read
• A sense of ownership for how the team operates day-to-day, not just what it ships
• Exposure to event-driven architectures or streaming platforms (Kafka, Pulsar, Kinesis, Flink, or similar)
• Background in cybersecurity, pentesting, or vulnerability management
• Familiarity with Python and/or Go