Jobs Hiring Near Me: Curated DevOps Engineer Jobs in Netherlands

This position involves owning the infrastructure for machine learning and AI from experimentation to production systems. The Lead ML/AI Platform Engineer will define technical direction, work closely with teams like data science, DevOps, backend engineering, product, and leadership, and drive future AI-powered products in a regulated financial technology environment.

This senior engineering position focuses on building the foundational platform layer for secure, production-grade AI applications. The role involves designing shared infrastructure and services that enable efficient development of AI capabilities. It combines hands-on work with LLMs, AI agents, RAG, tool calling, and AI workflows while leveraging modern cloud and data technologies to turn experimental use cases into reliable systems. The position is ideal for an experienced engineer who enjoys solving foundational problems and shaping how AI is built and operated across an organization.

This position is listed on behalf of a partner company that manages all applications and next steps. The Platform Engineer (P4) role focuses on building reliable, scalable cloud environments for global organizations working on complex data-intensive projects. It combines hands-on cloud engineering with strong consulting skills and client interaction. You'll work primarily on one engagement at a time, developing deep technical context while occasionally contributing across other projects. Collaboration with engineers, data scientists, and business stakeholders is key to turning requirements into robust solutions. The role offers significant ownership opportunities for leading technical implementations and contributing to internal standards and engineering initiatives. The position is fully remote across Europe, fostering a trust-based environment that encourages autonomy, technical excellence, and continuous learning.

This position is listed on behalf of a partner company that manages all applications and next steps. The technical team focuses on supporting and scaling modern cloud-based data environments, with the goal of helping application teams onboard to Databricks and build reliable Data Landing Zones (DLZ). You will work with Azure resources, Infrastructure as Code, automation, and deployment pipelines to deliver efficient solutions. As a first-line technical point of contact, you will troubleshoot requests and help resolve issues through structured support processes. Additionally, you will identify opportunities to automate repetitive activities and continuously improve operational workflows.

This foundational engineering opportunity is for someone who wants to shape systems that turn ML and GenAI capabilities into reliable, production-ready products. The role involves operating at the intersection of backend engineering, cloud infrastructure, MLOps, platform reliability, and product delivery. You will build the production infrastructure enabling AI systems to scale safely while remaining performant, maintainable, secure, and cost-efficient.

A hands-on infrastructure lead who owns the Kubernetes-native foundation for Rojo's New Integration Products. This role covers cluster, IaC, secrets, identity, messaging, and observability. The greenfield build has no legacy infra or existing conventions to inherit. Every foundational decision gets made once by this person, lived with for years.

This role offers the opportunity to take ownership of cloud infrastructure and help shape reliability, observability, and operational excellence across a growing engineering organization. You will design and evolve scalable infrastructure on Google Cloud while enabling development teams through automation and self-service tooling. The role combines hands-on technical engineering with ownership of reliability practices, incident management, and operational improvement. You will strengthen observability capabilities and use data-driven metrics to improve system performance and software delivery. You will also help optimize cloud usage and costs while establishing sustainable infrastructure governance.

This is a senior reliability engineering role focused on defining and advancing the infrastructure standards behind a globally scaled, AI-native platform. You will take ownership of reliability strategy across production infrastructure, with a particular focus on AWS, Kubernetes, event-driven systems, and AI agent workloads. The role combines deep hands-on engineering with architectural leadership, incident management, observability, and technical mentorship.

This role offers the opportunity to lead the evolution of a modern platform engineering function within a fast-growing digital product environment. You will take ownership of cloud infrastructure, developer experience, reliability, security, and automation strategies supporting a diverse portfolio of SaaS products and engineering teams. Working closely with senior engineering leadership, you will define the long-term platform vision, improve operational maturity, and enable teams to build and deliver software more efficiently.

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