Kubernetes Security Engineer: Scale & Defend the Platform

Maven Ventures

Palo Alto (CA)

On-site

USD 100,000 - 258,000

Full time

4 days ago
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Benefits offered by this job

Equity
Medical
401(k)
Disability insurance
Dental coverage

Job summary

SpaceXSI is hiring a security-focused engineer to protect and automate the platform behind X and SpaceXSI products. You will secure clusters, nodes, and workloads, while reducing privilege risks and strengthening the platform's supply chain.

You will design security tooling, implement AI-assisted analysis, and collaborate with platform and product teams to ship safer defaults and hardened configurations at scale.

Qualifications

  • 3+ years in platform security with Kubernetes security experience.
  • Ability to identify attack paths and translate findings into detections or tooling.
  • Experience designing and building security tooling and automation.

Responsibilities

  • Secure the platform end to end: nodes, clusters, pods, roles, tokens, secrets, and supply chain.
  • Remediate overprivileged permissions and risky pod/workload settings across components.
  • Assess platform like an adversary and implement fixes, detections, and controls.
  • Design and build security tooling, including AI-assisted analysis, for proactive risk detection.
  • Strengthen identity and secrets handling so apps receive only needed access.
  • Improve supply-chain security with secure base images and continuous scanning.
  • Review changes affecting RBAC, operators, and elevated privileges; work with teams as security owner.
  • Contribute to fleet-wide hardening and safer defaults.

Skills

Kubernetes security
Attack-path thinking
Security tooling

Tools

Go
Python
Rust

Job description

SpaceXSI is hiring a security-focused engineer to protect and automate the platform behind X and SpaceXSI products. You will secure clusters, nodes, and workloads, while reducing privilege risks and strengthening the platform's supply chain.

You will design security tooling, implement AI-assisted analysis, and collaborate with platform and product teams to ship safer defaults and hardened configurations at scale.

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