Palo Alto Remote (Global) Full-time

PIP Labs is hiring a Security Engineer

Responsibilities

  • Manage daily security operations for PIP Labs and its affiliates, covering monitoring, alert triage, incident response, and remediation.
  • Secure and administer the AWS environment, with some work on Google Cloud, and continuously enhance cloud security posture.
  • Oversee endpoint security and device controls using tools like CrowdStrike and Jamf.
  • Automate recurring security and IT workflows to enable scalable controls across multiple companies with minimal manual effort.
  • Collaborate with infrastructure and engineering teams to identify risks, improve configurations, and implement practical fixes, including contributing code or pull requests when appropriate.
  • Manage dependency hygiene and software supply chain security, ensuring third-party code is properly vetted, pinned, and continuously monitored for compromise.
  • Support identity, access, device, and other internal IT security needs for a globally distributed team.
  • Develop and maintain clear security procedures, playbooks, and documentation.
  • Help assess and strengthen how sensitive and valuable real-world datasets are ingested, stored, accessed, and protected across the DATA Network ecosystem.
  • Contribute to security readiness in a high-threat environment, including protection against targeted account compromise, credential theft, and sophisticated social-engineering attempts.
Job Details
Location Palo Alto
Work mode Remote (Global)
Employment Full-time
Department Security
Category Security
Posted 13 days ago
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About company
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PIP Labs is an R&D company contributing to the development of the DATA Network, open infrastructure that enables real human data to be sourced, proven and processed for AI training. The network is stewarded by the DATA Foundation, which supports its long-term development, integrity and permissionless nature. The Foundation also maintains Trace, the network’s public audit layer, where the provenance, consent, licensing and payment history associated with data records can be verified.
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