AI & Security Platform Engineer

tenex

San Jose (CA)

On-site

USD 140,000 - 210,000

Full time

10 days ago

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Job summary

TENEX is an AI-native, automation-first MDR provider seeking Platform Engineer, AI & Security to expand integration across security ecosystems. You will write software, deploy security technologies, and build tooling for repeatable configurations and validations across cloud, endpoint, and identity domains.

Join a fast-growing team focused on cutting-edge AI-driven cybersecurity, with opportunities to work on enterprise-scale integrations, API connections, and programmatic deployments that

Qualifications

  • Strong proficiency in Python and software development practices.
  • Experience building integrations with security vendor APIs.
  • Hands-on experience deploying security products in enterprise environments.
  • Ability to learn unfamiliar products and produce reusable tooling.

Responsibilities

  • Deploy and maintain security products across cloud, AI security, network, endpoint, and identity domains.
  • Develop software that connects with security vendor APIs and automates setup.
  • Build reusable tooling for provisioning, configuration, testing, and troubleshooting.
  • Create representative configurations reflecting enterprise deployments.
  • Collaborate with AI teams to make security features accessible and testable.
  • Document integration requirements and edge cases; diagnose issues.

Skills

Python
API integrations
Security engineering
Collaboration

Education

Bachelor’s degree in Computer Science

Tools

Terraform
Ansible
CI/CD
OpenTelemetry
Cribl

Job description

TENEX is an AI-native, automation-first MDR provider seeking Platform Engineer, AI & Security to expand integration across security ecosystems. You will write software, deploy security technologies, and build tooling for repeatable configurations and validations across cloud, endpoint, and identity domains.

Join a fast-growing team focused on cutting-edge AI-driven cybersecurity, with opportunities to work on enterprise-scale integrations, API connections, and programmatic deployments that

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