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Oneture Technologies is seeking a hands-on Senior Data Scientist? and Platform Engineer to join our team and lead predictive modeling initiatives while also owning on-premise Kubernetes operations.
The role focuses on managing bare-metal clusters, air-gapped CI/CD pipelines, and secure, observable infrastructure. The ideal candidate will have proven experience installing and operating on-prem Kubernetes (RKE2/kubeadm/k3s), strong Linux system administration, and expertise in securing air-gapped
Oneture is building intelligent, cloud-native solutions that drive real business impact. We are looking for a passionate Senior Data Scientist to join our growing team and lead predictive modeling initiatives.
Oneture Technologies is looking for a hands-on DevSecOps / Platform Engineer to join an on-site, air-gapped on-premise
Kubernetes engagement. The platform underpins a mission-critical, security-hardened system and runs entirely on-premise across bare-metal infrastructure — this is not a cloud-first role. The engineer will own day-to-day cluster operations, CI/CD tooling, and observability across Production, DR, and UAT environments.
Proven hands-on experience installing, configuring, and operating a Kubernetes cluster entirely on-premise / bare-metal (e.g. RKE2, kubeadm, k3s) — not managed/cloud K8s (EKS/GKE/AKS).
Strong grasp of on-prem-specific components: CNI (e.g. Calico), MetalLB or equivalent for bare-metal load balancing, ingress controllers, and persistent storage (e.g. Longhorn, local-path-provisioner).
Experience managing multi-node clusters across Production, DR, and UAT with high-availability and DR failover considerations.
Comfortable troubleshooting at the cluster, node, and container-runtime level (e.g. containerd) in a fully air-gapped environment
Experience standing up and administering CI/CD tooling on-premise — Jenkins or equivalent (GitLab CI, Tekton, etc.), fully self-hosted with no external/SaaS dependency.
Ability to design secure, air-gapped CI/CD and artifact/image workflows (e.g. offline image transfer and import pipelines) where the environment has no direct internet access.
Working knowledge of security hardening for on-prem environments — access controls, sudo/user policy restrictions, firewall and network segmentation across subnets.
Hands-on experience deploying and managing a self-hosted monitoring and alerting stack — Prometheus and Grafana at minimum.
Experience with an on-prem logging/log-aggregation stack (e.g. Loki, ELK/EFK, or equivalent) for cluster and application-level observability.
Ability to build actionable dashboards and alerts for cluster health, node resource usage, and workload-level metrics without relying on cloud-native/SaaS monitoring tools.
Strong Linux administration skills (RHEL/CentOS preferred) — Kubernetes runs on Linux, and day-to-day troubleshooting happens at the OS level.
Comfortable with systemd, networking (iptables/nftables, routing), storage/disk management, and package management in an offline/air-gapped context.
Solid shell scripting ability for automation and troubleshooting.