Job
- Level
- Experienced
- Job Field
- IT, DevOps, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin, Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you design AI-driven integrations across cloud platforms and databases, optimize automated workflows leveraging machine learning, and ensure secure, scalable infrastructure.
Job Technologies
Your role in the 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
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Our expectations of you
Qualifications
- 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.
Experience
- 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).
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What we offer
- Familiarity with containerisation (Docker) and orchestration (Kubernetes) is a plus.
- Excellent communication, documentation, and cross-team collaboration skills.
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Topics You Will Work On
Job Locations
About Your Employer
IDnow GmbH
IDnow GmbH, based in Munich, provides companies with digital solutions for identity verification and trust-building. Its platform enables secure identity checks, aids in fraud prevention, and supports compliant digital processes for customers. The company offers scalable, AI-driven SaaS solutions for regulated and digital business models.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication