Job
- Level
- Erfahren
- Job Feld
- IT, DevOps, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin, München
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du KI-gestützte Integrationen zwischen Cloud-Plattformen und Datenbanken, optimierst automatisierte Workflows mit Machine Learning und sorgst für sichere, skalierbare Infrastrukturen.
Job Technologien
Deine Rolle im Team
- AI-driven integration. In this role, you will architect, implement, and optimise integrations across cloud platforms, data systems, and application environments.
- You will also design and operationalise AI workflows-leveraging automation, machine learning services, and intelligent data pipelines-to enhance business processes and system interoperability.
- You will work closely with cross-functional teams to implement automation, build reliable integration processes, integrate data services, and deliver robust infrastructure-as-code solutions.
- This position blends integration engineering, DevOps practices, AI tooling, and practical software development, offering the opportunity to generation automation and intelligent integration capabilities.
- Design and maintain scalable integrations across enterprise systems, SaaS platforms, and internal applications.
- Build and enhance GitLab based CI/CD pipelines to support application integration and infrastructure automation.
- Use Terraform (or other Infrastructure as Code tools) to design and provision cloud infrastructure-primarily on AWS.
- Develop automation scripts and workflows to reduce manual operational overhead and improve reliability.
- Integrate machine learning and approved AI-based services into operational workflows and data pipelines.
- Implement data integration pipelines using APIs, event-driven architectures, and messaging systems.
- Develop and maintain AI-driven middleware using Node.js and/or Python to enhance decisioning, routing, or workflow logic.
- Manage, deploy, and troubleshoot MCP (Node.js-based) servers used for programmatic control, middleware, or message processing.
- Collaborate with software engineers, data teams, and cloud engineers to deliver end-to-end integration solutions.
- Ensure integrations are secure, well-documented, and compliant with organisational standards.
- Write clean, modular, well-tested code following engineering best practices.
- Participate in code reviews, architectural discussions
Unsere Erwartungen an dich
Qualifikationen
- Working knowledge of MCP (Node.js) servers, including configuration, extension development, and deployment.
- Solid understanding of AI/ML concepts, model APIs, prompt engineering, and integrating LLMs into backend services.
- Knowledge of networking, identity/access management.
Erfahrung
- 3-5 years in an IT Integration, DevOps, or Software Engineering role.
- Strong hands-on experience with GitLab, including pipeline creation, runners, artifacts, and CI/CD orchestration.
- Proficiency with Infrastructure as Code, particularly Terraform, and experience deploying resources in AWS.
- Solid experience in automation using scripting languages such as Python, Bash, or JavaScript/Node.js.
- Experience building and maintaining data integrations (APIs, webhooks, ETL, messaging queues, or event-driven systems).
- Strong backend development experience (Node.js, Python, or similar).
Unser Angebot
- Familiarity with containerisation (Docker) and orchestration (Kubernetes) is a plus.
- Excellent communication, documentation, and cross-team collaboration skills.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
IDnow GmbH
Die IDnow GmbH mit Sitz in München bietet Unternehmen digitale Lösungen zur Identitätsprüfung und Vertrauensbildung an. Ihre Plattform ermöglicht eine sichere Überprüfung der Identität, hilft bei der Betrugsprävention und unterstützt regelkonforme digitale Prozesse für Kunden. Das Unternehmen stellt skalierbare, KI-gestützte SaaS-Lösungen für regulierte und digitale Geschäftsmodelle bereit.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom