Lead Infrastructure Engineer - Security Infrastructure (HPE NonStop/Tandem) with AI/Automation

Job responsibilities

• Serves as a member of the HPE NonStop Security Engineering Team
• Applies technical expertise and problem-solving methodologies to projects of moderate scope
• Drives a workstream or project consisting of one or more infrastructure engineering technologies
• Works with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processes
• Executes creative solutions for the design, development, and technical troubleshooting for problems of moderate complexity
• Strongly considers upstream/downstream data and systems or technical implications and advises on mitigation actions
• Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
• Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.
• Leverage AI-assisted operations (AIOps) techniques to improve incident triage, reduce MTTR, and proactively detect infrastructure risks (e.g., anomaly detection on system/EMS logs, event correlation, early-warning indicators).

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience 
• Experience with NonStop Security Products (Safeguard, XYPRO  NonStop Security Suite,)
• Deep knowledge of one specific infrastructure technology and scripting languages (e.g., TACL Scripting, Python, etc.)
• Drives to continue to develop technical and cross-functional knowledge outside of the product
• Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
• Experience applying AIOps / ML-driven monitoring concepts (anomaly detection, alert correlation, noise reduction, trend forecasting, predictive capacity/health signals) in a production infrastructure environment.

• HPE Nonstop (Tandem) experience - including system and network concepts. 
• Experience with Nonstop Security products (Safeguard, XYPRO XYGATE Security suite). 
• TACL programming, Python programming, API development
• Experience with compliance of technology risk and controls

• Exposure/competence with Agile Development practices using JIRA.