Senior Backend Architect - Multi-Cloud & Vector Search

Randstad NV; Nederland; Híbrido; EUR 110.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Salary & equity program

Learning budget for certs

Home-office setup budget

Mobility/commuting allowance

Descripción de la vacante

Randstad is hiring a Senior (Lead) Backend Engineer to design, build, and scale high-throughput microservices and data platforms across a hybrid Google Cloud Platform (GCP) and AWS environment. You will lead the core backend architecture powering our global labor market taxonomies, search, and vector retrieval engines.

Based in the Diemen area with hybrid work options, you will guide the engineering teams, drive performance improvements, and collaborate with data scientists to deploy

Formación

• Master's degree in Computer Science, Software Engineering, or equivalent technical experience.
• 5+ years of production experience as a Backend or Data Engineer working with distributed systems.
• Advanced proficiency in Python and SQL; Rust is a strong plus.

Responsabilidades

• Design, build, and scale high-throughput microservices and data platforms across a hybrid GCP/AWS environment.
• Lead backend architecture powering taxonomies, search, and vector retrieval engines.
• Own engineering standards, roadmaps, and data governance frameworks.
• Coach junior engineers and collaborate with data scientists on MLflow/MLOps pipelines.

Conocimientos

Distributed systems

Backend engineering

Cloud platforms (GCP/AWS)

MLOps collaboration

English communication

Educación

Master's degree in Computer Science or related field

Herramientas

GitLab

Apache Beam

Spark

Airflow

OpenSearch/Elasticsearch

Descripción del empleo

Randstad is hiring a Senior (Lead) Backend Engineer to design, build, and scale high-throughput microservices and data platforms across a hybrid Google Cloud Platform (GCP) and AWS environment. You will lead the core backend architecture powering our global labor market taxonomies, search, and vector retrieval engines.

Based in the Diemen area with hybrid work options, you will guide the engineering teams, drive performance improvements, and collaborate with data scientists to deploy