Nebulock
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Nebulock is an agentic threat hunting platform that autonomously surfaces behaviors, not just IOCs, from various data sources. Nebulock acts like a teammate: a 24/7 AI threat hunter that investigates hypotheses, reasons through telemetry, and learns from an environment. Today, threat hunting is broken. Security teams spend weeks chasing alerts, writing detections by hand, and manually validating findings often just to confirm what their existing tools already flagged. Meanwhile, attackers exploit credentials, move laterally, and operate in silence. Nebulock flips the model. We continuously and autonomously hunt across endpoint, identity, and cloud telemetry. We identify the subtle behavioral signals that point to credential misuse, lateral movement, insider threats, and post-access activity. Then we turn those hunts into hardened, behavior-based detections automatically.
As a Backend Engineer at Nebulock, you will own the core systems that form the foundation upon which Nebulock is built. You’ll co-own the data ingestion, transformation, and search layers that power threat hunting and detection engineering workflows for our customers. We currently ingest terabytes of data per day. This role is ideal for engineers who love bringing clarity and order to messy, disparate, and large-scale datasets.
Design, build, and maintain scalable systems that ingest and process large volumes of security telemetry (TBs / day)
Own integrations across a wide range of data sources (EDR, IAM, Cloud, SaaS)
Own the transformation layer that turns disparate data into a normalized, enriched, and queryable model
Build an engine that correlates entities across disparate data sources
Develop and operate both real-time and batch processing systems
Work on core search capabilities across vast amounts of data
Collaborate with our internal detection engineers, threat hunters, and product engineers to ensure the Nebulock platform has the data it needs and that the data is structured correctly
Help drive the architecture and technical direction of Neublock’s platform
4+ years of experience building backend distributed systems and working with data
Proficiency in Python, Java, Go, Rust, or similar
Experience with either AWS or GCP
Strong experience with data pipelines
Experience with event-driven systems
Strong understanding of system design, data modeling, and performance trade-offs
Experience with OLAP databases
Ability to adapt, iterate, and ship quickly
Hunger for growth and the desire to work in a low-ego environment
Experience building or working with search systems over large datasets
Cybersecurity experience
Startup experience
A dynamic startup environment with opportunities for rapid career growth
A collaborative culture that values innovation and creativity
Competitive salary and equity options
Comprehensive benefits package (including 401K)
Opportunities to travel for conferences, workshops, and team-building events
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