
Private Cloud Platform Engineer
Job Description
We are seeking a versatile Platform DevOps Engineer to join a team that sits at the intersection of product development and field deployment. Our team is responsible for the core platform as a product that enables our cloud-native products to run reliably in customer data centers specifically optimized for offline/air-gapped scenarios.
This is a dynamic, collaborative role where you will act as a technical enabler for our development and deployment teams. You will contribute to the evolution of our core platform, maintain our internal Platform-as-a-Service (PaaS) infrastructure and support production deployments.
Key Responsibilities:
- Production & Deployment Support: Act as a technical subject matter expert during critical deployment phases. This role could involve occasional travel to delivery center locations to provide hands-on support for production deployments, ensuring platform integrity and reliability in customer environments.
- Platform Development: Contribute to the engineering and maintenance of our core platform, built on Kubernetes and supported by an ecosystem of open-source components (e.g., logging, monitoring, managed databases, and message queues).
- Internal PaaS Management: Administer, automate, and evolve our internal Proxmox-based Platform-as-a-Service (PaaS), ensuring R&D teams have robust, scalable infrastructure.
- Engineering Support & Troubleshooting: Act as a bridge to product teams by analyzing complex service interactions. You will debug and optimize application performance by leveraging your understanding of protocol-level behaviors (e.g., messaging queues, database connections, and authentication flows like OIDC).
- Pipeline & Delivery Automation: Maintain CI/CD pipelines (GitLab CI) and support our platform delivery mechanisms, utilizing GitOps practices (such as Flux) to ensure consistency across environments.
Core Technical Requirements:
- Kubernetes & Storage: Deep experience in Kubernetes orchestration, with a understanding of Kubernetes storage concepts, Networking and workload distribution
- Infrastructure Automation: Experience with Ansible and Python for configuration management and orchestration.
- Protocol & Service Understanding: Ability to debug at the protocol level (Message Queues, Databases, OIDC/Authentication flows, etc.).
- Databases & Observability: Experience in Relational Database configuration (e.g., MySQL) and cluster monitoring/alerting (e.g., Prometheus, Grafana, ELK).
- OS & Virtualization: Solid foundation in Linux administration and experience with virtualizationtechnologies (Proxmox).
- CI/CD & GitOps: Familiarity with GitLab for CI/CD and experience with modern deployment tooling (e.g., Flux).
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Job Details
- Category
- Software
- Employment Type
- Full Time
- Location
- Praha
- Posted
- Mar 29, 2026, 08:00 PM
- Listed
- Mar 30, 2026, 11:54 AM
About Thales Alenia Space
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