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Tier-1 brand, mid-level generalist infrastructure role with broad skill requirements increases candidate competition.
Network and cloud skills are transferable across industries, though financial-sector security expectations add moderate bias.
Explicit 3+ years, certifications, vendor-specific networking and cloud requirements enforce strict filtering.
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Own and drive capacity monitoring and risk remediation for infrastructure applications using AI-assisted approaches.
Collaborate with application and infrastructure teams to identify potential capacity risks and ensure remediation alignment with resiliency and security standards.
Make significant project decisions involving multiple technologies and applications within infrastructure engineering.
3+ years of applied experience with formal training or certification in infrastructure engineering concepts.
Experience using enterprise-authorized AI capabilities to support infrastructure engineering workflows, including validation and adherence to data sensitivity and security requirements.
Proficiency in network infrastructure technologies and programming/scripting languages such as Python and Ansible.
Operating knowledge of infrastructure engineering areas like software-defined networks, SD-WAN, fabric switching, Wi-Fi, and network security technologies.
Experienced in multi-technology infrastructure projects, capable of making significant technical decisions independently.
Skilled at integrating AI-driven tools responsibly, with strong validation practices and security awareness.
Familiar with cloud infrastructure management and migration across public and private clouds, and proficient in diverse network technologies and security protocols.