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: 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 Offer · Flexible, work environment · Direct access to Leadership · A clear path to quickly progress in your role · Salary with Performance Bonus.
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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