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Nucleus SecurityPosted 3 weeks ago

Software Engineer – Platform

$130,000–$150,000 year

RemoteUnited States

Full TimeMid LevelSmallCybersecurity

Job Summary

Own the end-to-end lifecycle of data-driven analytic features, from prototyping and experimentation to production deployment and customer delivery. Build and evolve the security analytics platform to enable scalable data ingestion and post-ingestion processing. Collaborate with engineering, product, and data teams to translate ambiguous requirements into robust technical solutions. Diagnose, triage, and resolve production issues quickly to ensure system reliability and continuous improvement. This role requires a Mid-Career Software Engineer with strong SQL, PHP, and test-driven development skills to join a rapidly expanding cybersecurity company focused on revolutionizing vulnerability management.

Required Qualifications

  • Background in data analytics, data science, and/or data warehousing
  • Familiar in SQL, including performance optimization and complex query design
  • Proficiency in PHP or similar language for data processing
  • Experience working in a test-driven environment and writing unit and integration tests
  • Proven ability in technical troubleshooting
  • Capable of working independently as well as collaboratively with teams across different time zones

Desired Qualifications

  • Experience working with vulnerability scanning technologies on any part of the tech stack (e.g., SCA, SAST, DAST, IAST, VM Scanning, Container, etc.)
  • Experience with column store databases and columnar data, especially using SingleStore/MEMSQL
  • Experience integrating AI/LLM-driven features with data platform
  • Familiarity with Agile/Scrum methodologies in a professional setting
  • Experience maintaining applications on Linux platforms in cloud environments
  • Experience with modern versions of PHP, and the Zend and Laminas Frameworks
  • Experience with modern versions of React, Vite and Tanstack libraries
  • Improve key components of the application to enable data scalability

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