Cloudiax

Platform Engineer

• You act as the interface between development and cloud administration
• Your responsibility is to design our Kubernetes platform and deployment processes so developers can work efficiently, reproducibly, and with standardized workflows
• You work closely with development, infrastructure, and security teams to provide a reliable platform
• Enhance and operate our Kubernetes platform in on‑premise data centers, ensuring stability, scalability, and performance
• Build and optimize self‑service processes that enable developers to perform efficient, standardized deployments
• Optimize resource usage (CPU, RAM, storage, GPU) and develop fair workload strategies
• Operate and evolve our PostgreSQL platform, including high availability, backup/recovery, and performance tuning
• Automate infrastructure and deployment tasks using Terraform, Ansible, or similar tools
• Build and run modern CI/CD and GitOps processes (e.g., Argo CD, Flux)
• Define platform standards, templates, and best practices to ensure a consistent developer experience
• Integrate and operate authentication and authorization systems (Keycloak) as well as API gateways (Kong)
• Ensure multi‑tenancy, isolation, and compliance with security requirements
• Implement and operate monitoring, logging, and tracing solutions (Prometheus, Grafana, OpenTelemetry)
• Develop intelligent scaling mechanisms (e.g., HPA, custom metrics) beyond classical CPU/RAM metrics
• Support development teams in using the platform and continuously improve the developer experience
• Serve as the interface between development and cloud administration: gather requirements, improve workflows, and provide feedback
• Bring your interest in AI topics and explore automation and orchestration opportunities

Platform Engineer – Kubernetes, GitOps, AI interest

Operations

• You ensure the stable operation of our platform and make sure Kubernetes clusters, databases, and automation processes run reliably.
• You act as the operational foundation for development and work closely with the team to ensure deployments are efficient, reproducible, and secure.
• Operate and monitor our Kubernetes clusters in on-premise data centers
• Support deployments, root cause analysis, and performance optimizations
• Implement and operate automated deployments and GitOps processes
• Automate recurring tasks using Terraform, Ansible, or similar tools
• Operate and perform basic tuning of PostgreSQL databases
• Contribute to monitoring, logging, and observability (Prometheus, Grafana)
• Support capacity and resource management
• Act as the interface to development: gather requirements and provide feedback on deployments and processes
• Bring an interest in AI topics and explore opportunities for automation or orchestration

Platform Engineer – Kubernetes, GitOps, AI interest

Cloud Administrator – Kubernetes, GitOps, PostgreSQL, AI interest