We are looking for an experienced On-Prem Infrastructure Engineer to design, deploy, and operate enterprise grade platform services across on-premises and hybrid cloud environments. This is a hands-on engineering role for someone who has done it at scale not in theory.
The successful candidate will bring real production experience translating cloud-native capabilities such as AWS EMR, S3, Lambda, and SQS — into robust on-prem solutions. You will be a trusted technical specialist embedded in a high-performing delivery team.
What you will own:
Design and operate enterprise-grade on-prem and hybrid platform services
Stand up and manage Big Data infrastructure (EMR on Prem / Hadoop) in production environments
Implement and maintain distributed storage solutions (MinIO / S3-compatible)
Build and manage distributed cache infrastructure (Redis, Memcached)
Drive infrastructure-as-code practices using Terraform, ArgoCD, and GitHub Actions
Own GitOps pipelines and full pipeline automation workflows
Administer and optimise Kubernetes clusters at advanced usage levels
Implement end-to-end observability using OpenTelemetry, Prometheus, Grafana, and Loki
What we need from you:
Infrastructure & IaC
Terraform (infrastructure provisioning)
ArgoCD (GitOps-driven deployments)
GitHub Actions (CI/CD pipeline automation)
GitOps methodology and full pipeline automation
Kubernetes
Advanced cluster usage and administration
Production-grade workload orchestration
Big Data & Distributed Storage — Production experience required
EMR on Prem / Hadoop — production setup and management
MinIO / S3-compatible distributed storage — at production scale
Redis and Memcached — distributed cache infrastructure
Observability
OpenTelemetry (OTel) instrumentation
Prometheus + Grafana monitoring stacks
Loki for log aggregation
Preferred (Advantageous)
Experience with local artifact registries such as Nexus or similar
Hypervisor and OS-level troubleshooting and performance analysis
Backup and recovery strategy and implementation (data layer)
Capacity analysis and scalability forecasting
The Candidate We’re Looking For
You have been in the engine room not just advising on it. You understand the operational realities of running cloud-like infrastructure without the cloud: the edge cases, the failure modes, the performance tuning. You bring both the technical depth and the ownership mindset to match.
Production-first mindset — you’ve operated at scale
Strong ownership and accountability
Clear communicator across technical and delivery teams
Comfortable with ambiguity and fast-paced environments
Detail-oriented with high engineering standards
Collaborative — you build solutions with others, not around them
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