Solutions Architect (m/w/d) - KI / MLOps-Pipelines/ DevOps / Gitlab CIBe among the first 25 applicantsProject DetailsDuration: 01.11.2025 - 31.12.2025 (with option for extension)Utilization: 40 PT / 100% RemoteProject DescriptionImplementation of technical components in applications based on used technologies (microservice architectures, Spring, AWS, messaging, Kotlin) including related interfaces, modules, and databasesConsulting and implementation of AI-First development approaches to increase development efficiency in all areas of software development (business engineering, frontend and backend development, testing, DevOps)Evaluation, integration, and optimization of AI development tools such as GitHub Copilot, Amazon Q Developer, ChatGPT, and other AI-supported development tools in the project contextDesign and implementation of AI agents for specific development tasks as well as development of strategies for their effective use in the DevOps teamMentoring of the development team in professional handling of AI tools, prompt engineering, and best practices for AI-supported developmentSkillsMust-Have CriteriaMust-have: AI-supported software development - at least 2 years of proven practical experience with AI development tools like GitHub Copilot or Amazon Q DeveloperMust-have: DevOps - excellent methodological and technological knowledge in the DevOps context - at least 5 years of experience in building DevOps teams with genuine end-to-end responsibilityMust-have: Infrastructure - experience in designing and introducing a CI/CD pipeline and infrastructure topics in the cloud - at least 5 years of proven practical experience in Gitlab CIMust-have: At least 1 year of experience in designing and implementing MLOps pipelines (ML model training, deployment, monitoring)Must-have: Software development and application architecture - excellent programming and architectural knowledge - backend - at least 6 years of experience in micro-service architectures based on KotlinNice-To-Have CriteriaExperience in using AI tools in software development - at least 2 years of experience in dealing with AI in the context of code reviews and specification-driven developmentExperience with test-driven development - at least 6 years of proven practical experience in implementing software solutions with the TDD approachExperience with monitoring infrastructure and log analysis - at least 5 years of proven practical experience in corresponding software solutions, e.g., with the EFK stack, Prometheus, Kibana, GrafanaExperience with professional web frameworks - at least 6 years of experience in using Spring Boot or comparable frameworksPractical experience in building OpenShift infrastructures - at least 5 years of proven practical experience in working with OpenShift infrastructures #J-18808-Ljbffr