Lead Infrastructure Engineer – SRE, DevOps, Cloud, BI, AI Solutions

• Apply technical expertise and problem-solving methodologies to projects of moderate scope
• Drive workstreams or projects involving infrastructure engineering technologies
• Collaborate with other platforms to architect and implement changes for issue resolution and modernization
• Execute creative solutions for design, development, and technical troubleshooting
• Consider upstream/downstream data and systems implications and advise on mitigation actions
• 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

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 8+ years of experience in SRE, DevOps, or platform automation roles
• Strong proficiency in scripting and programming languages such as Python, Bash, PowerShell, or Go
• Hands-on experience with CI/CD tools (Jenkins, Spinnaker, GitLab CI, or equivalent)
• Experience with Infrastructure as Code (Terraform, Ansible, CloudFormation)
• Strong experience with monitoring and observability tools (Dynatrace, Splunk, Grafana, Datadog)
• Experience with cloud platforms (AWS, Azure, or GCP)
• 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. 
• Hands-on experience in supporting infrastructure platform and SRE for BI tools such as SAP BusinessObjects, ThoughtSpot, Tableau, Qlik Sense, or IBM Cognos
  • Hands-on experience with ServiceNow, JIRA ticketing tools