Staff Security Engineer, Detection - Databricks San Francisco, CA; Mountain View, CA; Washington DC/NoVA; Denver, CO; Seattle, WA; Dallas, TX; Boston, MA; New York, NY; Atlanta, GA:, Charlotte, NC; Philadelphia, PA; Remote Bookmark Share Print 684 0 54

Listing Description

https://databricks.com/company/careers/open-positions/job?gh_jid=5779499002

The Detection & Response team's mission is to preserve Databricks infrastructure and employees from active security threats. We are a tight-knit team of security analysts and incident responders doing "Security for Databricks on Databricks", using our own platform to create near-real-time log analytics, alerting and forensics. You will be an individual contributor on the Security Detection team at Databricks, reporting to the Director of Detection Engineering.

You are passionate about ML-based intrusion detection. You have experience building ML at enterprise scale, and are comfortable implementing models from conception to production. You love to learn, and to share your knowledge with the team.

The impact you will have:

• Fuse numerous log types to implement anomaly- and ML-based intrusion detection on the Databricks platform.
• Partner with Incident Response to provide relevant alerts with full context.
• Engineer detections on Spark in Python (with good design, clean code, unit testing, full documentation).
• Improve a Python framework to make our ML detection approaches reusable, and simpler to use. The goal is to empower all Security Engineers to create ML detections.
• Write documentation and playbooks to guide Incident Response.
• Take feedback well, and give feedback in an environment of mutual respect and aid.

What we look for:

• 7+ years of security experience
• 5+ years of Detection Engineering experience
• 1+ yrs experience with cloud infrastructure (AWS, Azure or GCP)
• Broad security expertise
• Broad understanding of all and experience analyzing two or more of the following: Network, Host/Disk, Application/Log, Memory/Malware
• Experience with Python, Git and GitHub.
• Experience with applying machine learning (ML) to security problems.

Benefits

• • Comprehensive health coverage including medical, dental, and vision
  • 401(k) Plan
  • Equity awards
  • Flexible time off
  • Paid parental leave
  • Family Planning
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Employee Assistance Program (EAP)
  • Business travel accident insurance