Nebulock

Full-stack Engineer

• 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

Principal Software Engineer

Product Manager

• Own significant, ambiguous product problem spaces from discovery through delivery
• Conduct zero-to-one discovery with SOC analysts, detection engineers, and threat hunters
• Validate customer problems before development and turn market signals into product bets
• Partner daily with engineering and research to turn validated bets into epics with clear success criteria
• Make scope tradeoffs to maintain velocity and ship products to customers quickly
• Deliver products that improve security outcomes and strengthen customers' security posture
• Shape future product bets through customer discovery
• Move customers toward hunt-first operations and away from SIEM-centric workflows

Principal Product Manager

Data Engineer

• 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
• Develop and maintain a transformation layer producing a normalized, enriched, and queryable data model
• Build an engine that correlates entities across disparate data sources
• Work on search capabilities across vast amounts of data
• Collaborate with detection engineers, threat hunters, and product engineers to meet platform data needs
• Set and promote data engineering standards and best practices, including observability, monitoring, and automated testing
• Help drive the architecture and technical direction of Nebulock’s platform

Senior Data Engineer

• Design, build, and maintain scalable systems that ingest and process large volumes of security telemetry (TBs / day)
• Own integrations across EDR, IAM, Cloud, and SaaS data sources
• 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 real-time and batch processing systems
• Work on core search capabilities across vast amounts of data
• Collaborate with detection engineers, threat hunters, and product engineers to ensure the platform has correctly structured data
• Help drive the architecture and technical direction of Nebulock’s platform