Palo Alto Networks
Systems Engineer
$139K–$191K
Remote - USA - MA +1 · Yes · Full-time · Posted Oct 26, 2026
- Location
- Remote - USA - MA
Remote - USA - CA - Experience
- 8+ years; qualifying areas include Cloud Engineering, DevOps, Site Reliability Engineering (SRE), Solutions Engineering, or a related highly technical role.
- Visa sponsorship
- Will not sponsor applicants for work visas for this position.
About the job
Owns technical execution and operational readiness for an identity security product pillar, building scalable cloud demo and evaluation environments and enabling technical sales teams.
What you'll do
- Build and maintain cloud-native demo and evaluation environments, including infrastructure-as-code and automated provisioning.
- Define evaluation use cases and success criteria; keep guidance and automation aligned with product changes.
- Lead technical release readiness and field enablement, and improve environment reliability through monitoring and optimization.
What they ask for
- 8+ years of experience in Cloud Engineering, DevOps, Site Reliability Engineering (SRE), Solutions Engineering, or a related highly technical role.
- Hands-on expertise in IAM, PAM, or adjacent enterprise security platforms, including experience deploying, managing, or integrating with CyberArk Secrets Manager (formerly Conjur).
- Advanced cloud infrastructure experience with AWS, Azure, and/or GCP; containerization with Docker and Kubernetes; and infrastructure-as-code with Terraform or Ansible.
- Experience deploying, managing, or integrating AI tools and autonomous AI agents into cloud infrastructure or development workflows.
Nice to have
- Experience architecting, supporting, or leading complex, automated lab/demo environments or sandbox platforms.
- Strong systems thinking and ability to work credibly with senior field architects, sales engineers, and cross-functional engineering partners.
Pay
$139,200.00 - $191,400.00/yr (base salary)
Tools
CyberArk Secrets Manager (formerly Conjur), AWS, Azure, GCP, Docker, Kubernetes, Terraform, Ansible
AI focus
Deploy, manage, or integrate AI tools and autonomous AI agents into cloud infrastructure or development workflows.
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