Engineering Manager, Data Streaming

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the Data Streaming sub-team within Data Ingestion, reporting to the Senior Manager of Data Ingestion.

• Take ownership of engineering execution and team well-being for a group handling pentest telemetry at scale.

• Facilitate sprint cycles, conduct technical design reviews, and ensure engineering quality.

• Manage SLOs related to ingestion throughput, latency, and error rates.

• Develop on-call processes and runbooks to maintain healthy production pipelines.

• Ensure stable ingestion schemas and data contracts between the NodeZero runner, Security Research, and Database Platform.

• Adapt data contracts as new pentest capabilities are introduced.

• Expand ingestion pipelines to accommodate more customers, larger environments, and new data types.

• Collaborate with Security Research, Database Platform, and Asset Inventory on data quality and pipeline architecture.

• Grow the sub-team to a complete team of 6–7 engineers.

• Foster a culture of operational ownership and reliability within the pipeline.

⛳️ Requirements

• Proven experience leading teams of 5–8 engineers focused on building and operating production data ingestion or ETL/ELT pipelines.

• In-depth knowledge of streaming or event-driven data architectures, including Kafka, Kinesis, Pub/Sub, or similar technologies.

• Experience designing data normalization and enrichment pipelines at scale.

• Strong focus on data quality, deduplication, and schema evolution.

• Capability to define and take ownership of SLOs for latency, throughput, error rates, and data completeness.

• Experience managing data pipelines in cloud-native environments at scale.

• Ability to convert vague product requirements into clearly defined engineering projects.

• Proficiency in Go or Python programming languages.

• Familiarity with message queues and streaming systems such as Kafka, Kinesis, or RabbitMQ.

• Experience with PostgreSQL or other relational database systems.

• Background in Kubernetes and containerized service operations in AWS or equivalent cloud environments.

• Knowledge of data observability tools, including pipeline monitoring, alerting, and schema drift detection.

• Exposure to cybersecurity data, graph data pipelines, CDC patterns, or tools for data quality and data contracts is an advantage.

• Legally authorized to work in the United States.

🏝️ Benefits

• Equity package in the form of stock options.

• Health insurance coverage for you and your family.

• Vision insurance for you and your family.

• Dental insurance for you and your family.

• Flexible vacation policy.

• Generous parental leave.

• Opportunities for career development.

• An inclusive and collaborative culture.

• Remote and hybrid work models available depending on role and location.

• Up to 5% travel.