Lead Data Streaming (Cybersecurity)

Location: Remote in the United States; up to 5% travel may be required.

Base salary: $225,250–$265,000 annually; equity may also be available.

Company

hirify.global is a remote cybersecurity company developing NodeZero, a platform for production-safe autonomous penetration testing and security assessment operations.

What you will do

• Lead the Data Streaming sub-team within Data Ingestion and grow it to 6–7 engineers.
• Own engineering execution, sprint cadence, technical design reviews, team health, and engineering quality.
• Own SLOs for ingestion throughput, latency, error rates, and data completeness, and build on-call processes and production runbooks.
• Maintain ingestion schemas and data contracts between the NodeZero runner, Security Research, and Database Platform.
• Scale ingestion pipelines for more customers, larger environments, and new data types without proportional operational effort.
• Partner with Security Research, Database Platform, and Asset Inventory on data quality, normalization, and pipeline design.

Requirements

• Experience leading teams of 5–8 engineers building and operating production data ingestion or ETL/ELT pipelines.
• Deep understanding of streaming or event-driven data architectures, including Kafka, Kinesis, Pub/Sub, or equivalent.
• Experience designing data normalization and enrichment pipelines at scale, with strong attention to data quality, deduplication, and schema evolution.
• Proven ability to define and own pipeline SLOs covering latency, throughput, error rate, and data completeness.
• Experience operating data pipelines in cloud-native environments and understanding failure modes and operational patterns at scale.
• Ability to work autonomously and translate ambiguous product requirements into well-scoped engineering projects.
• Proficiency in Go or Python, including reading and writing pipeline code.
• Experience with message queues and streaming systems such as Kafka, Kinesis, RabbitMQ, or equivalent; PostgreSQL or other relational databases; Kubernetes; containerized service operations in AWS or an equivalent cloud; and data observability tooling for monitoring, alerting, and schema drift detection.

Nice to have

• Exposure to cybersecurity data, including network scan data, vulnerability feeds, CVE/NVD schemas, or asset inventories.
• Experience with graph data pipelines or knowledge graph construction.
• Familiarity with CDC patterns for downstream data consumers.
• Background in data quality frameworks or data contract tooling.

Culture & Benefits

• Remote work environment with a culture of respect, collaboration, ownership, and results.
• Inclusive workplace focused on diversity, equity, and inclusion.
• Career development opportunities in a growing company.
• Health, vision, and dental insurance for employees and families.
• Flexible vacation policy and generous parental leave.
• Competitive compensation, equity, and benefits.