Hybrid / On-Prem Data Engineering Platform Engineer
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Build and operate hybrid and on-prem data platforms supporting batch and streaming workloads
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Design scalable storage, compute, and networking layers for data pipelines
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Integrate on-prem platforms with public cloud services where required
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Enable secure multi-tenant data access, governance, and lifecycle management
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Automate platform provisioning and operations using Infrastructure as Code
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Security Engineering
Required Skills & Experience
8+ years of experience in infrastructure, platform, or systems engineering
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Experience designing hybrid or on-prem data engineering platforms, Microservices architecture
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Strong understanding of Linux internals, K8 networking, and storage systems like CEPH
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Experience with Kubernetes and containerized workloads
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Proficiency in automation and scripting (Python, Bash, Go, or similar)
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Experience building automation or autonomous systems that interact with real infrastructure
Preferred Skills
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Exposure to data platforms such as Spark, Kafka, Flink, or similar
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Experience with distributed storage systems (Ceph, object storage, etc.)
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Familiarity with observability stacks (Prometheus, Thanos, Grafana, OpenTelemetry)
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Experience in Go or Python and building Microservices for Multitenant systems
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Understanding of AI safety, guardrails, and human-in-the-loop designs
