Engineering Manager, Data Streaming

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $225.3k - $265k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Horizon3.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

Cybersecurity • Artificial Intelligence • SaaS

Horizon3. ai is a cybersecurity company that specializes in autonomous penetration testing through its platform, NodeZero. The company's mission is to proactively identify and address attack vectors before they can be exploited, allowing organizations to continuously assess their security posture across various environments including cloud, IoT, and on-premises systems. Founded by veterans from the US Special Operations and National Security sectors, Horizon3. ai offers a self-service SaaS solution that provides organizations with insights into their security vulnerabilities without requiring persistent or credentialed agents.

📋 Description

• Lead the Data Streaming sub-team within Data Ingestion, reporting to the Senior Manager, Data Ingestion • Own engineering execution and team health for a team processing pentest telemetry at scale • Drive sprint cadence, technical design reviews, and engineering quality • Own SLOs for ingestion throughput, latency, and error rates • Build on-call processes and runbooks to keep production pipelines healthy • Maintain stable ingestion schemas and data contracts between the NodeZero runner, Security Research, and Database Platform • Evolve data contracts as new pentest capabilities are released • Scale ingestion pipelines for more customers, larger environments, and new data types • Partner with Security Research, Database Platform, and Asset Inventory on data quality and pipeline design • Grow the sub-team to a full team of 6–7 engineers • Build a culture of operational ownership and pipeline reliability

🎯 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 • Strong attention to data quality, deduplication, and schema evolution • Ability to define and own SLOs for latency, throughput, error rate, and data completeness • Experience operating data pipelines in cloud-native environments at scale • Ability to translate ambiguous product requirements into well-scoped engineering projects • Proficiency in Go or Python • Experience with message queues and streaming systems such as Kafka, Kinesis, or RabbitMQ • Experience with PostgreSQL or other relational databases • Experience with Kubernetes and containerized service operations in AWS or equivalent cloud • Familiarity with data observability tooling, including pipeline monitoring, alerting, and schema drift detection • Exposure to cybersecurity data, graph data pipelines, CDC patterns, or data quality and data contract tooling is a plus • Legally authorized to work in the United States

🏖️ Benefits

• Equity package in the form of stock options • Health insurance 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 • Career development opportunities • Inclusive and collaborative culture • Remote and hybrid work models depending on role and location • Up to 5% travel