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Strong employer brand plus metro location increase competition, but senior specialised role limits applicant pool.
Role demands deep datacenter/platform and infrastructure experience, making cross-industry transferability limited.
Explicit 12–18 years plus mandatory platform, cloud, ML, and tech stack requirements create high filtering.
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Architect and develop scalable datacenter platforms and tools using Python and Java, focusing on AI/ML-driven optimization and cloud-native microservices.
Lead integration and partner engagements, aligning Independent Software Vendor (ISV) solutions with platform architecture across multi-site datacenter environments.
Build executive-level dashboards delivering KPIs on utilization, operational efficiency, cost, and sustainability to guide datacenter modernization and operational decisions.
12–18 years of experience in software engineering and platform development.
Strong hands-on experience with Python, Java, microservices architecture, cloud-native applications (AWS/Azure/Hybrid), containers (Docker/Kubernetes), and modern DevOps.
Proven expertise in datacenter or infrastructure tools/platforms and AI/ML models for prediction, optimization, or analytics.
Work location is hybrid with requirement to work approximately 2 days/week from an HPE office.
Senior-level software engineer with a strong blend of hands-on coding and architectural leadership in datacenter platform modernization.
Experienced in developing and operationalizing AI/ML models and cloud-native microservices for infrastructure optimization and sustainability initiatives.
Comfortable managing technical partnerships with ISVs and leading multi-site integration projects combining telemetry and data models for global datacenter environments.