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Senior Backend engineer

Randstad

Diemen
Part-time
5-10 years experience
Hybrid

Key Skills

Python
SQL
Google Cloud Platform
AWS
Apache Beam
Spark
Airflow
OpenSearch
Elasticsearch
Distributed systems
Microservices
MLOps
DataOps
CI/CD
GitLab
Vector retrieval

Job Description

Senior Backend Engineer


Role Summary

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.

  • Location: Hybrid – Diemen, The Netherlands.

Role Differentiation 

Important Distinction: This is a Backend Architecture & Distributed Data Engineering Role, NOT a front-end or internal IT support role. It centers on high-volume cloud systems, API latency reduction, vector search retrieval, and MLOps deployment pipelines.


What You Will Achieve

  • Multi-Cloud Architecture: Build and maintain scalable backend services primarily hosted on Google Cloud Platform (GCP) with integrations into AWS.
  • Vector & Search Retrieval: Own the engineering and performance of search engines and vector retrieval workflows powered by AWS OpenSearch.
  • Pipeline Automation: Design resilient, event-driven streaming and batch pipelines using modern DataOps best practices.
  • ML Integration: Partner directly with data scientists to put production-grade MLOps pipelines into live multi-cloud environments.
  • Engineering Standards: Coach junior and mid-level engineers while shaping technical roadmaps and data governance frameworks.

What You Need to Succeed

  • Education: Master’s degree in Computer Science, Software Engineering, or equivalent technical experience.
  • Track Record: 5+ years of production experience as a Backend or Data Engineer working with distributed systems.
  • Core Tech Stack:
    • Languages: Advanced proficiency in Python (main API frameworks) and SQL (Rust is a strong plus).
    • Cloud Infrastructure: 5+ years with GCP; solid familiarity with AWS services.
    • Data & Pipeline Frameworks: Hands-on expertise with Apache Beam, Spark, Airflow, and CI/CD tools (GitLab).
    • Search & Retrieval: Deep working knowledge of distributed search clusters (e.g., OpenSearch/Elasticsearch) and vector indexes.
  • Communication: Professional fluency in English (written and verbal).

What We Offer

  • Compensation & Equity: Competitive base salary, variable performance pay, and access to Randstad’s Employee Share Purchase Plan.
  • Professional Development: Dedicated annual learning budget for GCP/AWS certifications, technical courses, and global conferences.
  • Setup & Mobility: Top-tier workstation setup, home-office budget, and full business mobility or commuting allowance.
  • Impact & Culture: Lead high-visibility distributed systems initiatives within the world's leading talent organization.

apply today to join the team:

Reach out to our recruitment business partner, [email protected] for the full job spec and a confidential discussion.

Core Responsibilities

You will lead the design and architecture of high-throughput microservices and data platforms across a multi-cloud environment. Additionally, you will partner with data scientists to implement production-grade MLOps pipelines and coach junior engineers.

Requirements

Candidates must hold a Master’s degree in Computer Science or a related field and possess at least 5 years of production experience with distributed systems. Proficiency in Python, SQL, and cloud infrastructure (GCP/AWS) is required.

Benefits

  • Competitive base salary
  • Variable performance pay
  • Employee share purchase plan
  • Annual learning budget
  • Workstation setup
  • Home-office budget
  • Business mobility allowance
  • Commuting allowance

About Randstad

Industry: Human Resources Services

Company size: 1,001-5,000 employees

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