itszafeer
Remote: Yes
Willing to relocate: Open to discussion
Available: from mid-December 2026
Technologies: Python, Bash, Kubernetes (kubeadm, bare-metal HA), Docker, Helm, Argo CD, Jenkins, GitHub Actions, Terraform, Ansible, Vault, Harbor, NGINX/HAProxy/Keepalived, PyTorch DDP, Kubeflow Trainer, MLflow, Kafka, Postgres, Redis, Prometheus/Grafana, NVIDIA GPUs, Qualcomm Cloud AI 100, AWS (EKS), Alibaba Cloud
Résumé/CV: https://zafeer.dev/resume.pdf
Website: https://zafeer.dev/?utm_source=hn&utm_campaign=wwtbh-nov26
Email: [email protected]
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Platform / DevOps / MLOps engineer, 2.5 years (SDE II). I build and run the Kubernetes clusters, pipelines and Python services behind a production computer-vision platform for a Saudi government rollout: 50+ GPU machines, 2,000+ cameras, 200+ use cases, plus air-gapped government clusters with no internet egress. Some recent work:
- Cut a 55h model-training run to 5h by moving training to PyTorch DDP on on-demand Kubernetes Jobs (pause/resume, MLflow tracking, Kafka progress events).
- Took the full on-prem platform deploy from 5 days to 2 hours, with Jenkins/GitHub Actions building images into Harbor and Argo CD syncing 3 environments from Git, Vault as the single source of secrets.
- Ported speech models (Cohere Transcribe, Qwen3-ASR Arabic) to Qualcomm Cloud AI 100 for an on-prem live-translation platform: PyTorch -> fixed-shape ONNX -> qaic-compile, about 17x real time, served on Kubernetes behind an OpenAI-compatible API. Wrote a repack tool when the 7.6 GB ONNX export (1,688 tensor files) broke the compiler.
Open source: kuiqctl, a kubeadm cluster that stays Ready when your laptop changes Wi-Fi (https://github.com/Zafeeruddin/kuiqctl), and causeway, which lets you view and record cameras behind VPNs and jump hosts with per-customer network namespaces and 298 tests (https://github.com/Zafeeruddin/causeway).
Looking for: platform, infrastructure, SRE or MLOps roles, especially where GPUs, on-prem/air-gapped deployments or messy networks are involved.
Remote: Yes
Willing to relocate: Yes, open to discussing (UAE / KSA or elsewhere)
Technologies: Python, Bash, TypeScript, Kubernetes (kubeadm, bare-metal HA), Docker, Argo CD, Jenkins, GitHub Actions, Terraform, Ansible, Vault, Harbor, NGINX/HAProxy/Keepalived, PyTorch DDP, MLflow, Kafka, ClickHouse, Postgres, Redis, Prometheus/Grafana, AWS (EKS), Alibaba Cloud, Cloudflare
Résumé/CV: https://zafeer.dev/resume
Website: https://zafeer.dev
Email: [email protected]
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Platform / DevOps / MLOps engineer (SDE II). I write the Python services, pipelines and Kubernetes clusters behind a production computer-vision platform: 50+ GPU nodes and 2,000+ cameras for a Saudi municipality, plus air-gapped government clusters with no internet egress. Some recent work:
- Cut a 55h model-training run to 5h by moving training to PyTorch DDP on on-demand k8s Jobs (pause/resume, MLflow, Kafka progress events).
- Found that every meeting-recording bot pod was pinned to a single node by a ReadWriteOnce volume plus a required podAffinity. Bots now record locally and the API streams recordings out as a tar over the k8s exec channel, so they spread across all workers.
- Caught a checked-in manifest that would have deleted 22 live production secrets, shipped a strategic-merge patch instead and reconciled the repo to zero drift.
- Took full platform setup from 3 days to 20 minutes, and built Vault-backed, approval-gated CI/CD that saves a client SAR 300K/yr.
Open source: kuiqctl, a kubeadm cluster that stays Ready when your laptop changes Wi-Fi (https://github.com/Zafeeruddin/kuiqctl), and causeway, which lets you view and record cameras behind VPNs and jump hosts with per-customer network namespaces and 298 tests (https://github.com/Zafeeruddin/causeway).
Looking for: platform, infrastructure, SRE or MLOps roles, especially where GPUs, on-prem or messy networks are involved.