Principal Software Engineer

Nebulock Inc.; Northern (KY); Hybrid; USD 200,000 - 230,000; Full time

Job summary

Nebulock Inc. is seeking a Principal Software Engineer for the Data Platform team to lead cross-functional projects, own data ingestion and search layers, and drive architectural changes for latency and reliability.

You will help scale to ingest terabytes of data daily and build expressions that power AI threat hunting workflows. You will work closely with stakeholders to deliver data solutions for internal and external customers and mentor junior engineers while promoting best practices and

Qualifications

• 8+ years of experience building large-scale distributed systems
• 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

Responsibilities

• 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

Skills

Distributed systems design

Programming languages (Python/Java/Go,

Tools

Kafka

Search/Analytics tools

AWS/GCP

Job description

We're committed to building best-in-class proactive security platform that can defend against machine-speed attacks. If you’re interested in joining the mission, see our open roles below.

Principal Software Engineer

Location

United States

Employment Type

Full time

Location Type

Remote

Department

About Us

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.

Position Overview

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.

Expected Impact

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

Qualifications

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

Nice to Haves

Experience building and scaling distributed systems from the ground up

DevOps or platform engineering experience

Cybersecurity experience

Startup experience

Compensation

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.