Lead Infrastructure Engineer - Network Connectivity Services

• Manage supplier relationships and performance governance, holding providers accountable to service level agreements, driving service improvement plans, and conducting recurring quality and performance reviews.

• Support regional and global network strategy execution through process improvements and service optimization; serve as the telecom connectivity market expert for the Americas region (carrier landscape, emerging technologies, pricing trends, supplier capabilities), lead evaluation/adoption of new technologies, and mentor junior engineers.

• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on infrastructure engineering concepts and 5+ years applied experience.

• Expertise in cloud platforms such as AWS, Azure, or GCP, including compute, storage, and networking services.

• Deep knowledge of networking and telecommunications technologies (Layers 0-3), including dark fiber, DWDM, Ethernet, IP-VPN, DIA, broadband, cellular and satellite connectivity.

• Demonstrated expertise in the Americas telecom connectivity market, including in-depth knowledge of regional carrier ecosystems, infrastructure landscapes, and connectivity product offerings across key markets.

• Excellent communication and stakeholder management skills, with the ability to influence and build trust across business and technical domains.

• Solid organizational and time management skills, with the ability to manage multiple concurrent project across geographies.

• 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.

Preferred qualifications, capabilities, and skills

• Experience using Atlassian tools (Jira and Confluence) for workflow, documentation and reporting.

• Familiarity with cloud connectivity and hybrid architectures.

• Relevant cloud certifications (e.g., AWS Solutions Architect, Azure Administrator).

• Data analytical skills – ability to interrogate, model and visualise large datasets to identify trends, cost drivers, or delivery risks.

• Experience in financial services or other highly regulated industries.