Lead Backend Architect: Multi-Cloud, Vector Search & MLOps

Randstad Holding NV; Diemen; Híbrido; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Employee stock purchase plan

Annual learning budget for cloud certs

Home-office budget & mobility/commute

Descripción de la vacante

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

This role emphasizes Backend Architecture & Distributed Data Engineering, not front-end or IT support, with a focus on cloud systems, latency reduction, and MLOps deployment pipelines.

Formación

• Master's degree in Computer Science, Software Engineering, or equivalent.
• 5+ years of production experience as a Backend or Data Engineer working with distributed systems.
• Proficient in Python and SQL; cloud and data engineering experience.

Responsabilidades

• Build and maintain multi-cloud backend services on GCP with AWS integrations.
• Own vector retrieval and search workloads (OpenSearch/Elasticsearch).
• Design event-driven data pipelines using data engineering tools (Beam, Spark, Airflow).
• Collaborate with data scientists to deploy ML/MLOps pipelines across clouds.
• Mentor juniors and shape technical roadmaps and data governance.

Conocimientos

Python

SQL

Distributed systems

Data engineering

English

Educación

Master's degree in Computer Science or related

Herramientas

OpenSearch

Elasticsearch

GCP

AWS

Apache Beam

Spark

Airflow

GitLab

Descripción del empleo

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

This role emphasizes Backend Architecture & Distributed Data Engineering, not front-end or IT support, with a focus on cloud systems, latency reduction, and MLOps deployment pipelines.