Lead Backend Architect: Multi-Cloud & Vector Search

Randstad Enterprise; Diemen; Híbrido; EUR 140.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Employee Share Purchase Plan

Learning budget for certifications and

Home-office budget

Mobility or commuting allowance

Descripción de la vacante

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

This role emphasizes Backend Architecture & Distributed Data Engineering, not front-end or IT support. You will work on high-volume cloud systems, reduce API latency, and deploy MLOps pipelines in

Formación

• Master’s degree in Computer Science, Software Engineering, or equivalent technical experience.
• 5+ years of production experience as Backend or Data Engineer working with distributed systems.
• Strong Python and SQL skills; Rust is a plus.
• 5+ years of experience with GCP and familiarity with AWS.
• Hands-on with Apache Beam, Spark, Airflow, and CI/CD tools (GitLab).
• Knowledge of distributed search clusters (OpenSearch/Elasticsearch) and vector indexes.
• Excellent written and spoken English communication.

Responsabilidades

• Design and maintain high-throughput backend services and data pipelines.
• Own vector retrieval and search workloads across multi-cloud environments (GCP/AWS).
• Architect resilient, streaming and batch pipelines with DataOps practices.
• Collaborate with data scientists to deploy production ML pipelines across clouds.
• Mentor junior engineers and influence technical roadmaps and governance.

Conocimientos

Python

SQL

Distributed systems

GCP

English communication

Educación

Master’s degree in Computer Science/Software Engineering

Herramientas

GCP

AWS

Apache Beam

Spark

Airflow

GitLab CI/CD

OpenSearch

Descripción del empleo

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

This role emphasizes Backend Architecture & Distributed Data Engineering, not front-end or IT support. You will work on high-volume cloud systems, reduce API latency, and deploy MLOps pipelines in