Palo Alto Networks
Idira Secrets SME - Domain Consultant
$173K–$238K
Remote - USA - DC +4 · Yes · Full-time · Posted Aug 28, 2026
- Location
- Remote - USA - DC
Raleigh, United States of America
Tampa, Florida
Atlanta, United States of America
Miami, Florida - Experience
- 2+ years in a customer-facing pre-sales or solutions engineering role; cybersecurity and/or DevOps tooling experience is described as ideal.
- Visa sponsorship
- No immigration sponsorship; the company will not sponsor work visas for this position.
About the job
Serves as a technical advisor on Idira secrets and machine-identity security, demonstrating and evaluating solutions for customers and supporting sales through discovery, architecture guidance, and proof-of-concept work.
What you'll do
- Deliver product demonstrations, presentations, workshops, and proof-of-concept evaluations to establish the value of Idira solutions.
- Conduct technical discovery and translate customer needs into solution architectures and deployment strategies; advise customers during the sales cycle.
- Collaborate with sales, product management, and engineering, including sharing customer feedback and helping resolve issues.
What they ask for
- 2+ years in a customer-facing pre-sales or solutions engineering role.
- Strong understanding of DevOps practices and tools, including CI/CD pipelines, containers, Kubernetes, Terraform, or Jenkins.
- Understanding of cryptographic security technologies such as SSL/TLS, SSH, PKI, and HSMs.
- Experience with Agentic AI frameworks, large language models (LLMs), or autonomous AI workflows.
Nice to have
- Experience with cloud platforms (AWS, Azure, GCP) and their secrets management systems.
- Prior experience with IAM, PAM, or secrets management solutions.
Pay
USD $173,000.00 - $237,500.00/yr; starting base salary for non-sales roles or base salary + commission target for sales/commissioned roles (the posting does not specify which applies).
Tools
CI/CD, Kubernetes, Terraform, Jenkins, SSL/TLS, SSH, PKI, HSMs
AI focus
Supports application-level and Agentic AI secrets management; requires experience with AI frameworks, LLMs, or autonomous workflows and familiarity with AI orchestration, prompt engineering, or integrating agents into development lifecycles.
Model-written summary · the original posting is authoritative