Infrastructure Engineer III - Exadata & ZDLRA Admins and Oracle DB

Job Responsibilities

• Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving 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 while considering upstream and downstream data and systems or technical implications
• Drives the daily activities supporting the standard capacity process applications and partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
• Accountable for making significant decisions for a project consisting of multiple technologies and applications
• 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 knowledge of one or more scripting languages
• Demonstrated, hands-on production Operations experience administering Oracle Exadata Database Machine in enterprise environments. Deep knowledge of Oracle RAC, ASM, Grid Infrastructure, and high-availability operational patterns, including incident response and restoration under time pressure.
• Hands-on operational knowledge of Oracle Exadata KVM hosts and Exadata-hosted VMs in production, including day-2 administration, health monitoring, safe maintenance execution, and troubleshooting across VM-to-host performance, network, and storage interactions. Ability to manage virtualization changes under governance with clear sequencing, risk controls, and validation.
• Strong Linux administration for Oracle platforms, including system tuning, service management, and troubleshooting during incidents and maintenance windows.
• Proven proficiency in scripting and automation for systems and operations (shell scripting, Python, and/or Ansible). 
• Experience with multiple cloud technologies (ability to operate in and migrate across public and private clouds) 

• Experience operating or supporting Oracle Exascale capabilities and its operational model within the organization’s implementation, including day-2 run procedures and maintenance practices at scale.
• Experience with enterprise automation and infrastructure toolsets such as Ansible, Terraform, and Git-based workflows, applied to operational standardization and repeatable execution.
• Experience managing Exadata-hosted VM fleets at scale and Oracle Linux KVM tooling, including standardized builds, capacity management, safe host maintenance, and coordinated patching across hosts and guests.
• Experience with cloud and hybrid patterns involving Exadata and Oracle ecosystem services, with an operations focus on reliability, change safety, and observability.
• Exposure to enterprise monitoring platforms (for example, Oracle Enterprise Manager or equivalent) and modern observability practices across metrics, logs, and traces, with emphasis on actionable alerting and operational baselines.