C-Serv
Information Technology and Services
OnPremInfrastructureEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“On Prem Infrastructure Engineer at C-Serv. Skills: On-prem infrastructure design and operation, Hybrid cloud environments, Big Data infrastructure management, Distributed storage solutions, Distributed cache infrastructure, Infrastructure-as-code, GitOps, Kubernetes administration, Observability implementation. 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”
Industry & Context.
Understand the operational realities of running cloud-like infrastructure without the cloud: the edge cases, the failure modes, the performance tuning.
Hands-on engineering role for someone who has done it at scale not in theory, Real production experience
What They're Looking For.
Must Have
Experience with enterprise grade platform services across on-premises and hybrid cloud environments, Real production experience translating cloud-native capabilities such as AWS EMR, S3, Lambda, and SQS — into robust on-prem solutions, Terraform, ArgoCD, GitHub Actions, GitOps methodology and full pipeline automation, Advanced Kubernetes cluster usage and administration, Production-grade workload orchestration, EMR on Prem / Hadoop — production setup and management, MinIO / S3-compatible distributed storage — at production scale, Redis and Memcached — distributed cache infrastructure, OpenTelemetry (OTel) instrumentation, Prometheus + Grafana monitoring stacks, Loki for log aggregation, Production-first mindset — you’ve operated at scale
Nice to Have
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
What You'll Do.
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
Drive infrastructure-as-code practices using Terraform
Own GitOps pipelines and full pipeline automation workflows
Administer and optimise Kubernetes clusters at advanced usage levels
Implement end-to-end observability using OpenTelemetry
How You'll Work.
Team & Collaboration
Embedded in a high-performing delivery team; Clear communicator across technical and delivery teams; Build solutions with others, not around them
Communication Scope
Clear communicator across technical and delivery teams
Full Job Description
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: 1. Design and operate enterprise-grade on-prem and hybrid platform services 2. Stand up and manage Big Data infrastructure (EMR on Prem / Hadoop) in production environments 3. Implement and maintain distributed storage solutions (MinIO / S3-compatible) 4. Build and manage distributed cache infrastructure (Redis, Memcached) 5. Drive infrastructure-as-code practices using Terraform, ArgoCD, and GitHub Actions 6. Own GitOps pipelines and full pipeline automation workflows 7. Administer and optimise Kubernetes clusters at advanced usage levels 8. Implement end-to-end observability using OpenTelemetry, Prometheus, Grafana, and Loki **Requirements** What we need from you: **Infrastructure & IaC** 1. Terraform (infrastructure provisioning) 2. ArgoCD (GitOps-driven deployments) 3. GitHub Actions (CI/CD pipeline automation) 4. GitOps methodology and full pipeline automation **Kubernetes** 1. Advanced cluster usage and administration 2. Production-grade workload orchestration **Big Data & Distributed Storage **— Production experience required 1. **EMR on Prem / Hadoop — production setup and management** 2. **MinIO / S3-compatible distributed storage — at production scale** 3. **Redis and Memcached — distributed cache infrastructure** **Observability** 1. OpenTelemetry (OTel) instrumentation 2. Prometheus + Grafana monitoring stacks 3. Loki for log aggregation **Preferred (Advantageous)** 1. Experience with local artifact registries such a
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