At T-Systems, you will find groundbreaking projects that contribute to social and ecological well-being. It doesn't matter when or where you work. It's about doing meaningful work that advances society. For this reason, we will do everything possible to ensure that you have all the development opportunities by providing a support network, excellent technology, a new work environment, and the freedom to work autonomously. T-Systems is a team of around 28,000 employees worldwide, making us one of the leading integral providers of end-to-end integrated solutions. We develop hybrid cloud solutions, artificial intelligence, and drive the digital transformation of companies, industries, the public sector, and ultimately, society as a whole. We are the responsible team within Deutsche Telekom technology to enable and drive Data Science & AI use cases. Our team is responsible for the GenAI platform and the implementation of high-priority AI projects. Therefor we are looking for an experienced Software Engineer to work with our AI Teams and establish best software engineering practices and help design scalable, robust architectures. Collaborate with AI/ML teams to help develop scalable, maintainable software solutions for AI-driven applications. • Establish best practices in software engineering, including architecture, modularization, and API management. • Improve development workflows with TDD, DDD, GitOps, CI/CD, and automated testing. • Docker, Kubernetes, Terraform, Helm). • Software Engineering Best Practices:
• Modularization & packaging • Project structure & clean code principles • TDD (Test-Driven Development) & DDD (Domain-Driven Development) • Cloud & DevOps:
• Docker & orchestration (Swarm, Compose, Kubernetes) • Configuration scripting (Terraform, Helm) • Cloud experience in at least one hyperscaler environment • Authentication & IAM (OAuth2, security best practices) GitLab, Python (experience in other languages is a plus) Telekom knowledge (Networks, Platforms) • Deutsche Telekom ecosystem (Security, Privacy, Tardis, Internal Network) Hybrid work model (telework/face-to-face). Continuous training. Please send CV in English.