Principal Software Engineer

Nebulock

Principal Software Engineer building scalable data ingestion, transformation, and search systems for Nebulock’s AI threat-hunting platform. Leading distributed-system architecture handling terabytes of security telemetry daily.

Posted 8/12/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining scalable data pipelines and distributed systems, with a strong focus on API integrations and event-streaming technologies. Proven ability to mentor teams, drive architectural changes, and implement engineering best practices in a fast-paced environment.

Highest-signal resume keywords

Python ProficiencyEvent-Streaming Systems DesignAWS or GCP ExperienceCybersecurity KnowledgeDevOps or Platform Engineering Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Large-Scale Distributed SystemsData Pipeline DevelopmentAPI IntegrationEvent StreamingData TransformationSearch and Analytics ProductsSystems ThinkingPerformance OptimizationAutomated TestingEntity-Correlation Problem Solving

Soft Skills

MentoringAdaptabilityCollaborationGrowth MindsetLow-Ego Environment

Tools & Technologies

KafkaAI AgentsObservability ToolsMonitoring ToolsCloud Platforms

Industry Keywords

CybersecurityData IngestionThreat-Hunting WorkflowsStartup ExperienceEngineering Standards

Tech Stack

Tools & technologies

AWSCloudCyber SecurityDistributed SystemsGoGoogle Cloud PlatformJavaKafkaPythonRust

About the role

Key responsibilities & impact

Design, build, and maintain scalable data pipelines ingesting and processing large volumes of security telemetry
Own API and event stream integrations across third-party EDR, IAM, cloud, and SaaS data sources
Partner with product stakeholders to build data solutions for internal and external customers
Guide technical direction for rapid product development and efficient backend scaling
Use AI agents to solve data mapping and entity-correlation problems
Set and promote engineering standards and best practices, including observability, monitoring, and automated testing
Mentor junior engineers and help grow the engineering team
Lead cross-functional projects and drive architectural changes for strict latency and reliability requirements
Co-own data ingestion, transformation, and search layers supporting agentic threat-hunting workflows

Requirements

What you’ll need

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 AWS or GCP
Ability to adapt, iterate, and ship quickly
Experience building and scaling distributed systems from the ground up
DevOps or platform engineering experience
Cybersecurity experience
Startup experience
Hunger for growth and desire to work in a low-ego environment

Benefits

Comp & perks

Competitive salary and equity options
Comprehensive benefits package, including 401K
Opportunities to travel for conferences, workshops, and team-building events
Dynamic startup environment with opportunities for rapid career growth
Collaborative culture that values innovation and creativity