
Senior Backend engineer
Key Skills
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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