Principal Software Engineer

Nebulock builds hunt-first, behavior-first security operations. Enterprise security teams use us to find attackers already inside their environment by spotting behavior that's abnormal for that organization, rather than by matching signatures of attacks someone has already seen. Attackers rotate tooling constantly and it costs them almost nothing; changing how they behave is much harder.

Series A, $34M total raised led by FirstMark, with Bain Capital Ventures, Decibel, Zetta, Step Function, and In-Q-Tel. Founding team out of CrowdStrike, Palo Alto Networks, and Arctic Wolf.

The platform is a closed loop:

• A per-customer behavioral system of record that learns what normal looks like in a specific environment and gets more useful the longer it runs

• Detections built from that context, re-baselining as environments shift, maintained by a detection engineering team rather than shipped and forgotten

• Autonomous hunting agents that work from a hypothesis instead of an alert, and write the detection when they establish root cause

• Detection engineering agents that take the context of threat hunts run to build, test, validate and deploy behavioral detections for Nebulock customers.

The Data Platform team is responsible for ingesting security telemetry data from our customers’ environments, transforming the data, and making it available to AI agents that continuously scan this data to look for malicious activities. We also tackle hard problems such as correlating entities across events from disparate sources and generating a queryable baseline view of activities that will allow agents to detect anomalies.

As a Principal Software Engineer on this team, you will lead cross-functional projects and drive architectural changes to meet strict latency and reliability requirements. You’ll co-own the data ingestion, transformation, and search layers that power agentic threat hunting workflows. We currently ingest terabytes of data per day and are growing fast. This role is ideal for engineers who have built large distributed systems from the ground up and scaled it to process billions of events/requests per day.

• Design, build, and maintain scalable data pipelines that ingest and process large volumes of security telemetry (TBs / day)

• Own API and event stream integrations across a wide range of third-party data sources (EDR, IAM, Cloud, SaaS)

• Partner with product stakeholders to build data solutions that will be consumed by both internal and external customers

• Guide the future technical direction that allows rapid development of product capabilities and efficient scaling of backend systems

• Use AI agents to build creative solutions to solve problems such as data mapping and entity correlation

• Set and promote engineering standards and best practices, including observability, monitoring and automated testing

• Be a mentor to junior engineers and help grow the engineering talent within the team

• 8+ years of experience building large-scale distributed systems supporting customer-facing products

• Proficiency in Python, Java, Go, Rust, or similar

• Hands-on experience designing large-scale event streaming systems such as Kafka or similar

• Experience working on search or analytics products over large datasets

• Strong systems thinking and understanding of performance, cost and complexity trade-offs

• Experience with either AWS or GCP

• Ability to adapt, iterate, and ship quickly

• Hunger for growth and the desire to work in a low-ego environment

• Experience building and scaling distributed systems from the ground up

• DevOps or platform engineering experience

• Cybersecurity experience

• Startup experience

We offer a competitive compensation package comprised of a base salary, equity and comprehensive benefits. The base salary for this role is $200,000 to $230,000. Compensation packages are determined based on a number of factors including but not limited to, role related experience, skillset, and geographic location.

• Health, dental, and vision coverage

• Unlimited PTO

• Remote working flexibility

• Life Insurance

• 401k