Software Engineer - Kubernetes Platform

CloudFerro Sp. z o; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Medical care

Multisport

Life insurance

Job summary

CloudFerro is building a sovereign European cloud platform and seeks Software Engineers to join the Kubernetes Platform team in Warsaw. You will develop DBaaS, Docker Registry, and Vault/Key Manager components, with full ownership from Kubernetes integration to APIs and documentation.

You will collaborate across IAM, billing, and quota systems, participate in code reviews, and help shape the platform's architecture while advancing secure, scalable cloud services for European science and industry.

Qualifications

• Experience building applications on Kubernetes (K8s) and growing toward platform engineering.
• Knowledge of Go and Python: ability to write clean, testable code.
• Understanding of REST API design: CRUD, error handling, versioning.
• AI-assisted development: comfortable using tools like Claude Code, Copilot.

Responsibilities

• Full ownership of platform services: DBaaS, the Registry, and Vault/Key Manager from implementation to operational stability.
• Integration with shared services: IAM, billing, and quotas.
• End-to-end delivery across Kubernetes integration, APIs and documentation.
• Engineering collaboration: code reviews and pair programming to co-create standards.

Skills

Kubernetes

Go

Python

REST API design

AI-assisted development

Tools

Harbor

Vault

Kubernetes operator

Terraform

Docker

CI/CD

ArgoCD

Kubeflow

Job description

CloudFerro is a provider of cloud data processing services . It provides and supports cloud computing for specialized markets, including the European space industry, climate research and science.

It has extensive experience in storing and processing large data sets, including multi-petabyte Earth observation satellite data repositories. CloudFerro solutions are used by leading companies and scientific institutions in Europe from various market sectors that process large data sets: European Space Agency (ESA), EUMETSAT, European Center for Medium-Range Forecasts (ECMWF), Mercator Ocean International, German Aerospace Agency (DLR), EGI and many others.

We are currently looking for people who want to help us build a sovereign European cloud platform from the ground up, creating a real alternative to global hyperscalers. We are building a complete PaaS stack based on Kubernetes and open-source technologies, from serverless and managed databases to MLOps, monitoring, and observability. By joining us, you become part of a team designing the foundations of the platform rather than developing an already-existing product. We work in a full-ownership model, where every architectural decision stays with the product for years. This is a place for people who want to genuinely influence the shape of the European cloud.

Due to our dynamic development, we are seeking talented individuals to join our team as a:

Software Engineer - Kubernetes Platform

Role

In this role, you will develop key cloud services of the platform: DBaaS, the Docker Registry, and secret-management systems (Vault / Key Manager). You will work in a full-ownership model, from Kubernetes integration, through APIs, to documentation and production reliability. You will have a real impact on how customers work with data and security in a cloud environment.

Your responsibilities

• Full ownership of platform services: developing and maintaining DBaaS (Severalnines CCX), the Registry (Harbor), and Vault / Key Manager in a you build it, you own it model from implementation, through APIs and documentation, to operational stability.
• Integration with shared services: connecting your services with IAM, billing, and quota systems developed by the Common Services team.
• End-to-end delivery: working across the full delivery lifecycle, from Kubernetes integration and API design to final documentation.
• Engineering collaboration: participating in code reviews and pair programming, co-creating technical and quality standards.

Requirements

• Experience building applications on Kubernetes: we are looking for an engineer who has worked with K8s and wants to grow toward platform engineering.
• Knowledge of Go and Python: ability to write clean, testable code.
• Understanding of REST API design: CRUD, error handling, versioning.
• AI-assisted development: comfortable using tools like Claude Code, Copilot, and similar solutions as a natural part of daily work.

Nice to have

• Experience with databases: PostgreSQL, MySQL from an operational perspective.
• Knowledge of Harbor or other registries.
• Experience with HashiCorp Vault on Kubernetes.
• Exposure to the Kubernetes operator pattern.
• Terraform knowledge, even at module-authoring level.
• Experience with containerization and CI/CD: Docker, pipelines.
• Building a cloud platform: you help create a modern ecosystem from scratch, supporting the European space industry, climate research, and scientific projects with real impact.
• Autonomous team: you join a newly formed group operating like a startup within a stable, large organization with access to resources smaller companies cannot offer.
• CNCF technologies in production: you work with Kubernetes, KNative, Cilium, ArgoCD, Kubeflow, and other open-source projects, with opportunities to contribute back.
• Real influence: you have a voice in architectural and product decisions, and your ideas truly shape the platform’s direction.
• AI-native workflow: we use tools like Claude Code daily, not as an experiment, but as an integral part of our work.
• Autonomy and stability: we offer significant freedom in organizing your work, transparent collaboration principles, and stable employment with competitive compensation.
• Benefits package: medical care, multisport, life insurance.

We create and develop advanced distributed systems. Their task is to provide services for the extensive processing of satellite data, of which we collect and catalogue vast quantities. In order for our systems to work efficiently, we need services to retrieve, describe and record this data.