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Senior Backend Engineer: Machine Learning Infrastructure

Full-time · remote · Posted 2 Oct 2026

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What you will do

About this role

Our partner is looking for a Senior Backend Engineer: Machine Learning Infrastructure based in the Netherlands.

As a Senior Backend Engineer, you'll help build the infrastructure that enables machine learning teams to develop, deploy, and operate models reliably at scale. You'll own critical backend services, data pipelines, and platform capabilities supporting workloads ranging from traditional machine learning to LLMs. The role combines distributed systems engineering, cloud infrastructure, API development, observability, and platform design. You'll work closely with ML and product teams to understand their needs and turn them into reusable, self-service infrastructure. You'll have significant autonomy to make technical decisions, evaluate trade-offs, and take solutions from design through continuous improvement. The environment is remote-first, collaborative, and strongly oriented toward ownership, thoughtful engineering, and modern AI-assisted development.

Accountabilities

  • Design, build, deploy, and operate high-load distributed backend services and APIs that support machine learning infrastructure.
  • Take end-to-end ownership of core ML services and associated data pipelines, from system design and implementation through deployment, observability, maintenance, and continuous improvement.
  • Build reliable, scalable, and reusable infrastructure components that make machine learning workloads easier for product and ML teams to run and operate.
  • Partner closely with ML and product engineers to understand their requirements and translate them into effective platform capabilities and services.
  • Make and communicate technical decisions by evaluating architectural options, trade-offs, scalability, reliability, and operational requirements.
  • Maintain a high standard for service reliability, performance, observability, and maintainability.
  • Proactively identify technical and operational problems and take ownership of resolving them rather than allowing issues to remain unaddressed.
  • Use modern AI-assisted development tools thoughtfully while maintaining strong ownership of system design, engineering decisions, and code quality.
  • Contribute to a collaborative engineering culture by sharing knowledge, supporting teammates, and helping others solve technical challenges.

Requirements

  • 5+ years of professional experience in backend engineering, platform engineering, or a closely related discipline.
  • Extensive professional experience with Python, the

Salary

$80,000–$120,000 USD

Skills & experience

SeniorPythonAWSGCPAzureKubernetesRustCC++GoQdrantMilvusWeaviateOpenSearchpgvectorTerraformLLMsvector databasesmodel servinginference infrastructureInfrastructure as Code
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