Senior Cloud Data Systems Architect

SAP SE; Levallois-Perret; On-site; EUR 90,000 - 120,000; Full time

Job summary

SAP is seeking a distributed systems engineer to own the end-to-end development of our database cloud platform in Paris, Levallois-Perret. You will design and implement scalable data processing components, APIs, and orchestration across multi-cloud environments.

We value deep systems thinking, production-grade Java skills, and hands-on experience with containers and Kubernetes. You will collaborate across teams to maintain high availability and drive engineering excellence.

Qualifications

• Deep expertise in distributed systems with emphasis on concurrency, parallelization, scheduling and resource management.
• Experience building scalable microservices and high-throughput APIs for data processing platforms.
• Proficiency in production-grade Java development.
• Experience with containers and Kubernetes across private and public clouds (AWS, Azure, Google Cloud).
• Knowledge of distributed file systems (S3, ADLS, HDFS) and RBAC in data platforms.
• A degree in Computer Science or a related technical field, or equivalent experience.

Responsibilities

• Own the full development lifecycle — from design to production — of distributed systems powering SAP's database cloud platform.
• Design and build distributed data processing components with efficient protocols and self-healing features.
• Deliver scalability and performance through concurrency in distributed environments.
• Lead code and design reviews to uphold engineering quality and deepen system knowledge.
• Drive team growth through hiring, coaching and engineering best practices.

Skills

Distributed systems

Microservices

Java

Kubernetes

Cloud storage

RBAC

CS degree

Education

CS degree

Tools

AWS

Azure

GCP

Job description

SAP is seeking a distributed systems engineer to own the end-to-end development of our database cloud platform in Paris, Levallois-Perret. You will design and implement scalable data processing components, APIs, and orchestration across multi-cloud environments.

We value deep systems thinking, production-grade Java skills, and hands-on experience with containers and Kubernetes. You will collaborate across teams to maintain high availability and drive engineering excellence.