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At T-Systems, you will find groundbreaking projects that contribute to social and ecological well-being. We want to welcome new talents like you, who bring fresh ideas, different perspectives, embrace challenges, and are committed to continuous learning in order to grow and make an impact on society all in a fun way 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. We support you in growing both personally and professionally so that you can make a notable impact on society. T-Systems is a team of around 28,000 employees worldwide, making us one of the leading global 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. Job Description About Us 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. To maximize business value, these AI use cases must be integrated into operational systems. 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. This role offers exposure to cutting-edge GenAI technologies (e.g., multimodal AI, agentic AI) in a high-impact, scaled environment. Your Responsibilities: Collaborate with AI/ML teams to help develop scalable, maintainable software solutions for AI-driven applications. Lead the design and optimization of scalable, resilient cloud architectures, including multi-cloud and hybrid cloud strategies, to support GenAI and AI-driven applications. Provide strategic advisory on cloud best practices, in compliance with industry standards (e.g., GDPR, ISO) Establish best practices in software engineering, including architecture, modularization, and API management. Improve development workflows with TDD, DDD, GitOps, CI/CD, and automated testing. Work with containerization & orchestration tools (e.g. Docker, Kubernetes, Terraform, Helm). Enforce security by integrating with our Identity and Access Management. Qualifications Your Skills & Experience: At least 8 years of experience in Architect role Software Engineering Best Practices: • Architectural patterns (e.g. SOLID, GRASP) • Modularization & packaging • API development & integration Development Workflows: • Project structure & clean code principles • TDD (Test-Driven Development) & DDD (Domain-Driven Development) • GitOps (branching, merging, linting, CI/CD pipelines Cloud & DevOps: • Demonstrated proven experience in architecting high-availability cloud infrastructures/enablers/multi-tenants. • Preference for holding certifications such as AWS Solutions Architect, Azure Architect, or Google Cloud Architect • Docker & orchestration (Swarm, Compose, Kubernetes) • Configuration scripting (Terraform, Helm) • Cloud experience in at least one Hyperscaler environment • Authentication & IAM (OAuth2, security best practices) Tools & Languages: • GitLab, Python (experience in other languages is a plus) Bonus Skills (Nice to Have) • Telekom knowledge (Networks, Platforms) • Deutsche Telekom ecosystem (Security, Privacy, Tardis, Internal Network) Additional Information What do we offer you? International, positive, dynamic, and motivated work environment. Hybrid work model (telework/face-to-face). Flexible schedule. Continuous training. Flexible Compensation Plan. Life and accident insurance. More than 26 working days of vacation per year. And many more advantages of being part of T-Systems If you are looking for a new challenge, do not hesitate to send us your CV Please send CV in English. Join our team T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.
