[HN/HCM] (Senior) Platform Engineer (Infra/DevOps/SRE)

We are seeking highly skilled Platform Engineers (at both Mid and Senior levels) to architect, build, and maintain our next-generation Data Platforms. We operate with a strict engineering philosophy: no vendor lock-in. We are building a truly agnostic platform designed to run seamlessly across any public cloud (AWS, GCP, Azure) and on-premise bare-metal environments.We are looking for builders who deeply understand how systems work under the hood. You will champion open-source technologies, relying on rock-solid engineering fundamentals to ensure our data infrastructure is scalable. Most importantly, you must possess an inherent Security and High Availability (HA) mindset-designing for failure and enforcing zero-trust principles at every layer.Key ResponsibilitiesArchitect for Resilience (HA): Design, deploy, and manage multi-zone and multi-region infrastructure. You will treat failure as a given, ensuring self-healing mechanisms, redundancy at compute/storage/network layers, and robust Disaster Recovery (DR) strategies.Security by Design: Enforce strict security postures across the platform. Implement Zero Trust networking, robust identity and access management (IAM/RBAC), secrets management, and ensure data is heavily protected both at rest and in transit.Build Cloud-Agnostic Infrastructure: Provision compute, storage, and networking required to support massive-scale data processing without relying on proprietary, locked-in cloud features.Manage Enterprise Storage Solutions: Architect highly available file and object storage systems (e.g., MinIO, Ceph) that integrate seamlessly with our compute clusters.Master GitOps & Automation: Treat all infrastructure as code (IaC). Implement rigorous GitOps workflows for provisioning, configuration management, and application deployment.AI-Driven Productivity: Leverage modern AI LLMs and coding assistants (e.g., Claude, Gemini) to accelerate your workflow—from scripting automations and debugging complex system logs to writing IaC and documentation—while maintaining strict security and review standards over AI-generated outputs.