Posted on: 13/03/2026



Job Description:
- Build and operate hybrid and on-prem data platforms supporting batch and streaming workloads
- Design scalable storage, compute, and networking layers for data pipelines
- Integrate on-prem platforms with public cloud services where required
- Enable secure multi-tenant data access, governance, and lifecycle management
- Automate platform provisioning and operations using Infrastructure as Code
- Security Engineering
Required Skills & Experience:
- 8+ years of experience in infrastructure, platform, or systems engineering
- Experience designing hybrid or on-prem data engineering platforms, Microservices architecture
- Strong understanding of Linux internals, K8 networking, and storage systems like CEPH
- Experience with Kubernetes and containerized workloads
- Proficiency in automation and scripting (Python, Bash, Go, or similar)
- Experience building automation or autonomous systems that interact with real infrastructure
Preferred Skills:
- Exposure to data platforms such as Spark, Kafka, Flink, or similar
- Experience with distributed storage systems (Ceph, object storage, etc.)
- Familiarity with observability stacks (Prometheus, Thanos, Grafana, OpenTelemetry)
- Experience in Go or Python and building Microservices for Multitenant systems
- Understanding of AI safety, guardrails, and human-in-the-loop designs
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Posted in
DevOps / SRE
Functional Area
Data Engineering
Job Code
1620471