Summary
Palo Alto Networks is a cybersecurity company focused on protecting digital environments through innovative security technology. The Solutions Engineer, DevOps - Central role serves as a trusted technical advisor for customers, focusing on application-level and Agentic AI secrets management. The role supports sales through demonstrations, proof-of-concept evaluations, technical discovery, solution architecture, customer workshops, and collaboration with product and engineering teams.
Responsibilities
- Build and deliver product demonstrations and sales presentations to create excitement around Idira technology
- Conduct POC evaluations of Idira products with prospective customers. Utilize your sales experience to position Idira’s value and differentiators to acquire the technical win
- Act as the technical expert and trusted advisor for machine identity security solutions during the sales cycle
- Partner with Account Executives to articulate the value of Idira’s solutions to technical and business stakeholders
- Conduct technical discovery sessions to understand customer environments, challenges, and security goals
- Translate customer requirements into solution architecture and deployment strategies
- Collaborate with product management and R&D to influence product direction and resolve customer issues
- Stay up to date on industry trends and emerging DevOps tools, CI/CD, Agentic AI frameworks, and best practices
- Assist in marketing efforts to generate pipeline and increase leads
- Deliver technical workshops, webinars, and training sessions to clients and internal teams
- Travel as needed to meet customers, attend conferences, or conduct on-site workshops
Skills
- • 2+ years in a customer-facing pre-sales or solutions engineering role, ideally in the cybersecurity and/or DevOps tooling space
- • Strong understanding of DevOps practices and tools (CI/CD pipelines, containers, Kubernetes, Terraform, Jenkins, etc.)
- • Understanding of cryptographic security technologies such as SSL/TLS, SSH, PKI, and HSMs
- • Experience working with Agentic AI frameworks, large language models (LLMs), or autonomous AI workflows to optimize engineering and automation processes
- • Development experience in languages such as Python, Go, Java, or Node.js
- • Scripting knowledge using tools such as PowerShell, or Bash
- • Ability to work with REST APIs
- • Deep curiosity about the DevOps landscape and a desire to stay ahead of industry trends
- • Familiarity with AI orchestration, prompt engineering, or integrating AI agents into development lifecycles
- • Excellent communication, presentation, and interpersonal skills
- • Experience managing and executing detailed technical responses for RFIs and RFPs
- • Ability to distill complex technical concepts into business value propositions
- Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position
- • Experience with cloud platforms (AWS, Azure, GCP) and their secrets management systems
- • Operational experience with PKI deployment and lifecycle management
- • Prior experience with identity and access management (IAM), privileged access management (PAM), or secrets management solutions
- • Knowledge of Zero Trust security models and security compliance frameworks
- • Hands-on experience securing or deploying autonomous AI agents, including managing API keys, permissions, or secrets for Agentic AI workflows
- • Relevant certifications (e.g., Kubernetes, AWS, CyberArk Guardian or Defender) are a plus
- • K8s certifications such as CKA or CKS and/or Cloud Architect Certifications (AWS/Azure/GCP)
Qualifications
Must Haves
- • 2+ years in a customer-facing pre-sales or solutions engineering role, ideally in the cybersecurity and/or DevOps tooling space
- • Strong understanding of DevOps practices and tools (CI/CD pipelines, containers, Kubernetes, Terraform, Jenkins, etc.)
- • Understanding of cryptographic security technologies such as SSL/TLS, SSH, PKI, and HSMs
- • Experience working with Agentic AI frameworks, large language models (LLMs), or autonomous AI workflows to optimize engineering and automation processes
- • Development experience in languages such as Python, Go, Java, or Node.js
- • Scripting knowledge using tools such as PowerShell, or Bash
- • Ability to work with REST APIs
- • Deep curiosity about the DevOps landscape and a desire to stay ahead of industry trends
- • Familiarity with AI orchestration, prompt engineering, or integrating AI agents into development lifecycles
- • Excellent communication, presentation, and interpersonal skills
- • Experience managing and executing detailed technical responses for RFIs and RFPs
- • Ability to distill complex technical concepts into business value propositions
- Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position
Nice to Haves
- • Experience with cloud platforms (AWS, Azure, GCP) and their secrets management systems
- • Operational experience with PKI deployment and lifecycle management
- • Prior experience with identity and access management (IAM), privileged access management (PAM), or secrets management solutions
- • Knowledge of Zero Trust security models and security compliance frameworks
- • Hands-on experience securing or deploying autonomous AI agents, including managing API keys, permissions, or secrets for Agentic AI workflows
- • Relevant certifications (e.g., Kubernetes, AWS, CyberArk Guardian or Defender) are a plus
- • K8s certifications such as CKA or CKS and/or Cloud Architect Certifications (AWS/Azure/GCP)
Benefits
- This role is remote
- The offered compensation may also include restricted stock units and a bonus