Job responsibilities

• Applies deep technical expertise and problem-solving methodologies focused on analyzing complex data and systems, anticipating issues, considering upstream and downstream implications, and advising on mitigation actions

• Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements

• Partners with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes

• Executes conventional approaches to build or break down technical problems

• Drives results and implements multiple complex programs.

• Drives thought leadership within the product line

• Partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses

• Responsible for infrastructure engineering in accordance with business requirements and executes work according to compliance standards, risk and security, and business objectives

• Leads reuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validated, traceable and auditable, and aligned to resiliency and security expectations

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering or infrastructure engineering and 5+ years applied experience
• Bachelor’s degree in Computer Science, Cybersecurity, Data Science, or related discipline
• 5+ years of full-stack network design and deployment
• Operating knowledge of two or more areas of infrastructure engineering such as software defined networks / zero touch provisioning, SD-WAN, fabric switching, Wi-Fi, and network security technologies and practices
• Proficient in specific network infrastructure technology and programming languages (e.g., Python, Ansible, etc.)
• 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
• Drives to develop infrastructure engineering knowledge of additional domains, data fluency, and automation knowledge

Preferred qualifications, capabilities, and skills

• Experience with wired/wireless LAN/BGP WAN/SD-WAN and 802.1x technologies from vendors including Cisco, Arista, Juniper, Fortinet, and Forescout
• Exhibits a growing initiative and the ability to manage assigned tasks efficiently, seeking guidance when needed and showing a willingness to find solutions and contribute to improvements with some supervision
• Demonstrates strong communication skills, conveying ideas and challenges with clarity and precision to support understanding and effective collaboration