Global Backbone TPM: APAC/EMEAI Capacity & Automation

Amazon Jobs; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global cloud services provider is seeking a Technical Infrastructure Program Manager to oversee long-haul leased capacity management across APAC and EMEAI regions. The successful candidate will drive strategic improvements in delivery, possess knowledge of telecommunications infrastructure, and optimize tools for data quality management. With a focus on vendor management and collaboration with diverse teams, this role is pivotal to enhancing operational efficiency in a hyper-scaled cloud environment.

Qualifications

• Experience in automation, operational excellence, or continuous improvement techniques.
• Knowledge of best practices and emerging technologies related to infrastructure.
• Ability to merge traditional project management with agile processes.

Responsibilities

• Manage longhaul backbone leased capacity delivery plan across APAC/EMEAI.
• Provide regular updates to regional managers through standardized reporting.
• Drive process improvements through tool optimization and automation.
• Implement standardized processes for leased capacity management.

Skills

Technical infrastructure management

Vendor management

Project management

Attention to detail

Problem-solving skills

Data quality management

Process improvement

Software scripting (Python)

Education

3+ years of technical infrastructure management experience

5+ years vendor and project management experience

Knowledge of submarine cable systems

Tools

Automation tools

Job description

A global cloud services provider is seeking a Technical Infrastructure Program Manager to oversee long-haul leased capacity management across APAC and EMEAI regions. The successful candidate will drive strategic improvements in delivery, possess knowledge of telecommunications infrastructure, and optimize tools for data quality management. With a focus on vendor management and collaboration with diverse teams, this role is pivotal to enhancing operational efficiency in a hyper-scaled cloud environment.