Senior Engineering Manager (Data Processing Platform)

Join Horizon3, a rapidly growing cybersecurity company, as a Senior Engineering Manager for the Data Processing Platform team. In this role, you will lead the architectural transformation of pentest data processing from a batch system to a real-time, event-driven microservice architecture. You will work closely with product, attack engineering, and adjacent platform teams to ensure continuous customer value delivery. This position offers growth opportunities, an innovation-driven culture, a flexible work environment, and an inclusive and diverse team.

• 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.
• Invest in operational excellence — SLOs, observability, on-call, and incident response — as this system becomes central to every pentest Horizon3 runs.
• A sense of ownership for how the team operates day-to-day, not just what it ships
• Comfort with modern cloud infrastructure (AWS preferred), containers, and observability tooling (Datadog or similar)
• Clear written communication: you can put together a roadmap, a design doc, or a postmortem the rest of the company can read
• Ability to lead through technical ambiguity — you can facilitate a design discussion, help the team converge, and know when to dig in yourself
• 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
• Background in cybersecurity, pentesting, or vulnerability management
• Familiarity with Python and/or Go
• Exposure to event-driven architectures or streaming platforms (Kafka, Pulsar, Kinesis, Flink, or similar)