About the role
Architect and Implement Cloud Services for AI: design and build scalable, reliable architectures that meet high-performance
requirements for AI systems, including inference engine, services, and APIs. Apply deep knowledge of distributed systems principles to create robust solutions. Debug and Optimize Across the Stack: dive deep into large existing codebases to identify and resolve issues quickly. Ensure fast turnaround for critical fixes while maintaining system integrity. Operate global cloud services: be part of the DevOps team responsible for operating our cloud services. Work on diagnosing and mitigating any issues together with partner teams. Collaborate Across Teams and Partners: work closely with multiple internal teams and external partners to solve complex problems, align on technical decisions, and deliver integrated solutions. Innovate and Drive Technical Excellence: identify non-obvious technical approaches that unlock new possibilities. Architect and execute features with measurable goals, iterating rapidly to achieve outcomes. Full-Stack Ownership: engage with components across the entire stack—from infrastructure to APIs—to deliver end-to-end solutions. Leadership and Influence: Articulate complex concepts clearly, build consensus, and create systems that accelerate team velocity. Demonstrate exceptional judgment and autonomy in execution. Bachelor's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Master's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience designing and operating distributed systems, scalable cloud architectures, and production APIs. Understanding of ML/AI fundamentals, with experience applying them to practical product or platform scenarios. Familiarity with relevant technologies such as Kubernetes, Docker, Azure DevOps, gRPC, and FastAPI; programming languages such as Python, C++, C#, and Rust; and AI/ML or agent-development frameworks such as Semantic Kernel, AutoGen, and LangChain. Experience in AI-native engineering practices, with hands-on experience applying AI to develop software solutions across the development lifecycle, including code generation, test automation, and related workflows. Optional experience with OpenAI API / Azure OpenAI. Software Engineering IC3 - The typical base pay range for this role across Germany is € 71,700.00 - € 121,100.00 per year. Certain roles may be eligible for
