• Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale, and ensures end to end monitoring of applications

• Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements.

• Resolves most nuances and determines appropriate escalation path

• Executes conventional approaches to build or break down technical problems

• Drives the daily activities supporting the standard capacity process applications

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

• Considers upstream/downstream data and systems or technical implications

• Be accountable for making significant decisions for a project consisting of multiple technologies and applications

• Adds to team culture of diversity, opportunity, inclusion, and respect

• Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, ensuring changes are validated and aligned to resiliency and security expectations.

Required qualifications, capabilities, and skills

• Formal training or certification on infrastructure engineering concepts and 3+ years applied experience

• Strong knowledge of one or more infrastructure disciplines such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessments

• 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.

• Strong Windows Administration experience (SME)

• Working knowledge of one or more scripting or coding skills in tools and languages such as languages: Terraform, Ansible, PowerShell Bash, Java, Python or Scala

• Must be curious and willing to learn

• Experience with multiple cloud technologies with the ability to operate in and migrate across public and private clouds

• Drives to develop infrastructure engineering knowledge of additional domains, data fluency, and automation knowledge