12 hours ago
Amsterdam, NetherlandsMid Level / Senior
Responsibilities
- Design and implement scalable, reliable, and secure technical foundations for AI solutions.
- Translate technical requirements from data, IT, and business stakeholders into effective cloud, data, and AI solutions.
- Support the design, development, integration, deployment, and scaling of AI applications and data pipelines.
- Prepare technical specifications and documentation and follow up on development, testing, and acceptance activities.
- Monitor AI infrastructure and application performance, reliability, and cost, supporting issue resolution.
- Participate in technical discussions and project governance while communicating progress, risks, and technical topics clearly.
- Identify delivery risks and technical challenges and work with senior team members on mitigation strategies.
- Develop knowledge of emerging AI, cloud, data, and infrastructure technologies and share learnings with the team.
Requirements
- 3–5 years of professional experience in DevOps, cloud infrastructure, data engineering, IT architecture, or a closely related field.
- Exposure to AI and ML technologies and platforms, including model serving, data pipelines, vector databases, APIs, and orchestration frameworks.
- Hands-on experience with at least one major cloud provider: Azure, AWS, or GCP.
- Experience with infrastructure-as-code, CI/CD pipelines, containerisation, and monitoring tools.
- Experience with Docker and/or Kubernetes.
- Understanding of data warehouses, data lakes, data pipelines, and data governance.
- Experience contributing to cloud-based AI and data solution design, development, deployment, or integration.
- Ability to troubleshoot technical issues and ensure solution quality, reliability, and performance.
- Clear communication skills for technical and non-technical stakeholders and the ability to work collaboratively in multidisciplinary teams.
- Fluency in English.
- Experience with Azure and/or Databricks and experience in international, consulting, or scale-up environments are a plus.
Benefits
- Full-time position based in Amsterdam.
- Opportunity to contribute to large-scale enterprise AI and data transformation initiatives.
- Regular collaboration with technical and business stakeholders across an international organization.
- Exposure to a broad range of AI tools, cloud platforms, and frameworks.
- Dynamic, diverse team environment with peer learning and knowledge sharing.
- Opportunities to develop technical expertise.
Tech Stack
Categories
Data EngineeringDevOps
About Metyis AG
Metyis AG is a privately held consulting firm that delivers AI and data analytics, digital commerce, marketing/design, and advisory services to enterprises. It partners with B2B and B2C clients to build data platforms, e‑commerce capabilities, and operating models, typically through long-term engagements. Founded in 2013 and headquartered in Baar, Zug, the company operates from 14 offices across Europe, India, and the Middle East.