At DIGITALL we dont just deliver technology we deliver the future! We are explorers, knowledge-hunters, tech geeks, problem solvers and game changers who want to inspire and be inspired. Our DIGITALL people are always one step forward: working with top-notch technologies, creating innovations ahead of the market trends, sharing the passion for discovering better ways. As a human-centric organization, our teams are built on mutual respect and open communication, allowing everyone to be authentic, express ideas and unleash their potential. We are proud of our DIGITALL bright minds and never stop developing their skills to keep pushing boundaries together and do what we love. DIGITALL operates globally with a team of 1000 experts in 16 locations across 8 countries.

Description of the position:

The engineer will work in a Scrum team to build a Python-based automation layer that rapidly provisions training and demo landscapes on GCP. The solution will trigger activities across GCP, BTP, SCP, and other tools, expose APIs for infrastructure and inventory data, and integrate monitoring, configuration management, reporting, and other architectural components.

This is your job:



• Work in a Scrum team to develop a Python-based automation layer for rapid provisioning of training and demo landscapes on GCP.
• Implement automation that triggers activities across GCP, BTP, SCP, and additional infrastructure tools.
• Develop and maintain RESTful APIs to connect infrastructure components and manage inventory data.
• Integrate monitoring, configuration management, reporting, and other architectural components into the automation layer.
• Collaborate with engineers, architects, and stakeholders to design scalable and reliable automation solutions.
• Apply test-driven development and modern CI/CD practices using tools like Jenkins, GitHub, and Jira.
• Contribute to containerization efforts, including Docker and/or Kubernetes, to support scalable deployments.

Your Qualifications:

• 4+ years of professional experience in Python development and software architecture.
• Strong experience with Scrum, CI/CD tools (Jenkins), GitHub, Jira, and container technologies (Docker/Kubernetes).
• Skilled in building and consuming RESTful APIs and applying test‑driven development principles.
• Customer-focused mindset with experience working in large‑scale environments.
• Fluent in written and spoken English.
• (Optional) Knowledge of Google Cloud Platform, especially Google Compute Engine.
• Understanding of networks, applications (including third‑party and SAP), databases, and operating systems (Linux & Windows), with the willingness to deepen expertise in these areas.
• Bonus: Experience with additional programming languages such as YAQL, Jinja, or TypeScript.
• Completed technical education (Bachelors or Masters) in computer science, physics, mathematics, engineering, or another scientific/technical field.

All applications will be treated in strict confidentiality
Please note that only shortlisted candidates will be invited to an interview