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Tier-1 brand and metro presence increase competition, though seniority and BI platform specialization limit applicant density.
Requires domain-specific BI platform and compliance experience, limiting cross-industry transferability.
Explicit 8+ years, mandatory IaC/cloud/security and BI platform expertise.
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Own availability, stability, performance, and lifecycle management for business intelligence platforms across on-premises and SaaS environments.
Lead incident triage, root cause analysis, and prevention of operational breaks through automation and AI-enabled workflows.
Engineer and support BI tools infrastructure (Tableau, IBM Cognos, SAP BusinessObjects, ThoughtSpot, Qlik Sense) including capacity, authentication, certificates, monitoring, and CI/CD pipeline improvements.
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
8+ years experience in site reliability engineering, DevOps, platform engineering, infrastructure automation, or production engineering roles.
Strong proficiency in Python, Bash, PowerShell, or Go.
Hands-on experience with CI/CD tools (Jenkins, Spinnaker, GitLab CI), Infrastructure as Code tools (Terraform, Ansible), monitoring tools (Dynatrace, Splunk, Grafana, Datadog), cloud platforms (AWS, Azure, GCP), and supporting BI tool infrastructure (SAP BusinessObjects, ThoughtSpot, Tableau, Qlik Sense, IBM Cognos).
Demonstrated success in managing and automating resilient infrastructure for BI platforms across hybrid environments involving on-prem and cloud.
Experienced in incorporating enterprise-authorized AI tools to enhance infrastructure analysis, incident remediation, and automation with a compliance and security focus.
Proven ability to lead cross-functional collaboration with engineering, security, and vendor teams to maintain platform stability and compliance in a regulated enterprise setting.