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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & ML Infrastructure Engineer - **Company:** Optics11 - **Location:** Amsterdam, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Audit Trail, Microsoft Azure, Cloud Computing, Computer Programming, Databases, Continuous Integration, Information Engineering, Data Governance, DevOps, Distributed Systems, Monitoring of Systems, Identity and Access Management, Python (Programming Language), PostgreSQL, Machine Learning, Uptime, Message Broker, MongoDB, RabbitMQ, Prometheus, Azure Machine Learning, Software Engineering, Management of Software Versions, Google Cloud, Data Storage Technologies, Cloud Platform System, Data Ingestion, System Availability, Grafana, Containerization, Gitlab-ci, Kubernetes, Information Technology, Influxdb, Deployment Automation, Apache Kafka, Data Management, Machine Learning Operations, Terraform, Stream Processing, Oracle Cloud Infrastructure, Docker - **Published:** August 20, 2026 - **Apply:** https://www.adzuna.nl/details/5847857980 ## About the Role * MSc or equivalent with 5+ years industry experience in Computer Science, Data Engineering, Machine Learning, or a related field. * Strong experience with data platforms, cloud infrastructure, and distributed systems (AWS, GCP, Azure). * Proven experience with Infrastructure-as-Code (e.g., Terraform) and automated deployments. * Experience with ML platforms and tools (MLflow, Feast, DVC, DataHub or equivalent). * Experience with AWS Sagemaker or Google Vertex AI platforms. * Experience with databases (MongoDB, PostgreSQL, InfluxDB or equivalent). * Experience with message brokers and streaming systems (Kafka, RabbitMQ or equivalent). * Hands-on experience with containerization (Docker/OCI) and orchestration (Kubernetes or similar). * Experience with CI/CD systems (e.g., GitLab CI). * Programming skills in Python. * Experience with monitoring and observability tools (Prometheus, Grafana). * Understanding of DevOps and MLOps practices. * Ability to work across teams and translate requirements into scalable infrastructure solutions. Nice to Have: * Knowledge of data governance, IAM, and security frameworks. * Experience with cost optimization and resource management in cloud environments. * Familiarity with multi-tenant or multi-product platform architectures. * Experience working with EU data compliance constraints in energy, maritime or defense. Security & Compliance: You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening. ## Description We are expanding our team with a Data & ML Infrastructure Engineer who will take ownership of the platform that enables data ingestion, processing, storage, and machine learning workflows across multiple products. Operating at the intersection of data science, software engineering, and cloud infrastructure, you will build the foundations and ensure that our ML systems are scalable, reproducible, and production ready. In this role, you will design, implement, and continuously improve a cloud-agnostic data and ML platform that supports multiple products and teams. You will be responsible for platform reliability, scalability, and cost-efficiency, while providing data scientists and ML engineers with the tools and infrastructure to efficiently develop, train, validate, and deploy machine learning models. You will serve as a technical bridge between the data science and IT/infrastructure teams, translating requirements into robust and maintainable systems. This role includes ownership of an existing vendor-delivered platform and its evolution into a fully automated, reproducible, and multi-product ML platform. Key Responsibilities: * Design, implement, and maintain the data and ML platform infrastructure, including systems for data ingestion, storage, processing, and training. * Ensure high availability, reliability, and uptime of the platform, as it is critical to the business value proposition. * Maintain and evolve vendor-delivered platform components and ensure long-term maintainability and independence. * Build and maintain data workflows, including tools for dataset versioning, experiment tracking, and model lifecycle management across multiple products. * Enforce DevOps / MLOps practices, including CI/CD pipelines, Infrastructure-as-Code, and automated workflows. * Develop cloud-agnostic and containerized solutions that can run across public and private cloud environments within EU constraints. * Optimize data storage, lifecycle policies, and cost efficiency, including tiered storage and retention strategies. * Implement and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) for pipelines, infrastructure, and resource usage. * Ensure data governance, security, and compliance, including access control, audit logging, and anonymization requirements. * Collaborate closely with data scientists, ML engineers, and IT teams to deliver infrastructure that meets operational needs. * Manage resource and cost controls, including budgets, approvals, and tracking. * Contribute to documentation, operational runbooks, and onboarding materials for the platform. ## Related Videos - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [DevOps at Netflix](https://www.wearedevelopers.com/videos/270-devops-at-netflix) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Leading with Reliability: Applying SRE Principles to Build Stronger Engineering Organizations](https://www.wearedevelopers.com/videos/100185-leading-with-reliability-applying-sre-principles-to-build-stronger-engineering-organizations) ## Related Articles - [Best Companies in the Netherlands: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/193-best-companies-in-the-netherlands-top-25-companies-in-2023) - [How to land a developer job in Amsterdam](https://www.wearedevelopers.com/magazine/36-how-to-land-a-developer-job-in-amsterdam) - [How to Find Tech Jobs in Amsterdam](https://www.wearedevelopers.com/magazine/279-how-to-find-tech-jobs-in-amsterdam) - [Software Developer Salary in The Netherlands [2023]](https://www.wearedevelopers.com/magazine/217-software-developer-salary-in-the-netherlands-2023) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [The Netherlands – Europe’s powerhouse for software development?](https://www.wearedevelopers.com/magazine/31-the-netherlands-europe-s-powerhouse-for-software-development)