inovex GmbH

• Implementation of modern data and AI infrastructures • Orchestration of GPU clusters • Structuring and design of data platforms • Automation of pipelines for model training and stable operation of inference interfaces/endpoints • Designing data platforms from storage architecture and lakehouse formats to the integration of orchestration and streaming components • Ensuring the reliability of data and ML workflows in production • Building security measures for sensitive data products • Monitoring, incident handling and GPU capacity planning

• Work on our internal Cloud Services (iCS), a private cloud based on OpenStack • Be part of a small team with a strong DevOps culture and broad scope for initiative • Contribute to the development and evolution of our private cloud

• Tech evangelism & next-generation architecture: evaluate new technologies and define future-proof architectures. • Strategic client development: identify technological opportunities and present convincing solutions to stakeholders. • DevOps mindset: engineering scalable applications and automating deployments via CI/CD. • Quality engineering & security: establish robust automated testing strategies. • Team empowerment & code excellence: develop the team as a mentor and promote knowledge sharing through structured code reviews.

• Advise our clients at the intersection of technology and business • Bring stakeholders together through workshops and refine requirements • Design future-proof architectures within consulting engagements • Assume functional and technical project leadership

• Create scalable data foundations within cross-functional project teams • Break down data silos and build robust infrastructures • Partner with clients from the initial idea through to implementation • Take architectural responsibility for building modern data platforms • Perform structured migration of existing on-premises architectures to the cloud-based Microsoft Fabric environment • Implement highly efficient ETL/ELT pipelines and structure lakehouses • Foster development of junior colleagues through mentoring

• Unterstützung in internen Studierendenprojekten und Forschungsprojekten • Praxiswissen aufbauen in Technologien und Methoden der Softwareentwicklung • Arbeiten in verschiedenen Projekten von Frontend bis Backend

• Technical lead for frontend projects and architecture • Definition of a future-proof architecture (e.g., micro-frontends) • Responsibility for end-to-end development • Development of scalable applications • Integration into CI/CD pipelines (e.g., GitLab/GitHub Actions) • Understanding of containerization (Docker) • Customer consulting based on many years of experience • Ownership of technical direction and technology choices • Implementation of a robust testing strategy (unit testing, integration testing) • Continuous quality assurance and security measures • Mentor for more junior team members • Ensuring code quality through linting/Prettier and structured code reviews

• Conducts interactive risk workshops, Business Impact Analyses (BIA), and compliance checks • Develops vibrant security organizations for agile companies • Implements ISMS solutions in tools such as Jira and Confluence • Builds sustainable customer relationships

• Implement customer projects • Integrate GenAI solutions into enterprise applications • Take responsibility for the architecture and design of backend systems • Configure CI/CD pipelines • Ensure continuous quality control by automating tests

• Advising clients on the implementation of infrastructure solutions • Developing infrastructure-level tools within the Kubernetes ecosystem • Implementing automated testing procedures for quality assurance • Taking responsibility for delivering the best possible solutions