Engineering Manager (Data Processing Platform)

TL;DR

Engineering Manager (Data Processing Platform): Lead the Data Processing Platform team responsible for turning raw pentest telemetry into findings, reports, and insights with an accent on migrating batch processing to a real-time, event-driven microservice architecture. Focus on event streaming, stream processing, storage/schema evolution, replayable processing, and operational excellence (SLOs, observability, on-call) while translating batch-era security logic into streaming-friendly designs.

Location: US, Remote

Salary: $260,000 - $280,000 annually

Company

hirify.global builds production-safe autonomous pentesting and assessment capabilities through the NodeZero platform.

What you will do

• 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 so customer value ships continuously.
• Shape technical direction with senior engineers across event streaming, stream processing, storage, schema evolution, and replayable processing.
• Drive operational excellence as the system becomes central to pentest execution (SLOs, observability, on-call, incident response).
• Translate existing batch-era logic (finding enrichment, attack path analysis, reporting) into streaming-friendly designs without losing fidelity.
• Establish durable team practices including design reviews, technical writing, clear API contracts, and decision records.

Requirements

• Experience managing backend, data, or platform engineering teams with a track record of shipping through the team.
• Strong fundamentals in backend and distributed systems: data modeling, API design, queues/streams, and batch vs streaming tradeoffs.
• Comfort with modern cloud infrastructure (AWS preferred), containers, and observability tooling (Datadog or similar).
• Ability to lead through technical ambiguity: facilitate design discussions, drive convergence, and know when to dive in.
• Clear written communication: produce roadmaps, design docs, and postmortems.
• Ownership mindset for day-to-day team operations.

Nice to have

• Experience with 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.

Culture & Benefits

• Inclusive, collaborative culture focused on respect, ownership, and results.
• Hybrid & remote work model; some roles require regular in-office presence (Chicago office).
• Competitive compensation with equity (stock options) for full-time roles.
• Health, vision & dental insurance for you and your family, flexible vacation policy, and generous parental leave.
• Growth opportunities and career development support.

Hiring process

• Interviews to assess engineering leadership, technical direction, and communication skills.
• Evaluation of experience shipping platform/data systems and driving operational excellence.
• Discussion of fit for the real-time data platform rebuild and team practices.