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Software Developer for a Data Processing Platform (BE-CSS-DSP-2026-23-GRAP) at CERN
CERNGeneva, GENEVA, ch·6h ago
Entry LevelFull-timePythonJavaSpringKubernetesDockerREST APIMachine LearningCI/CDAPI
Salary Range
$44,880 - $60,720 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a software engineer to develop our new big data processing and analysis platform. This role involves extending our real-time stream processing platform (UCAP) and integrating it with our petabyte-scale offline data storage system (NXCALS).
Key Responsibilities
- →Design, implement and evolve the Data Processing Platform (DPP), transforming the existing proof-of-concept into a full-scale, production-ready solution.
- →Research, design and implement adaptation of the UCAP system to the DPP platform, including migration of UCAP converters into DPP function-based services.
- →Collaborate with accelerator operation and equipment specialists to design tailored, user-friendly libraries, APIs and configuration facilities.
Requirements
- ✓Background in backend software development or a closely related role.
- ✓Good understanding of distributed systems and microservice architecture.
- ✓Exposure to serverless concepts and frameworks, particularly Knative or OpenFaaS.
- ✓Knowledge of data processing and streaming frameworks (e.g. Apache Kafka, Apache Spark).
- ✓Proficiency in Core Java and its ecosystem.
- ✓Hands-on exposure to the Spring Framework, including Spring Boot.
- ✓Working knowledge of Python and its ecosystem.
- ✓Familiarity with containerization and orchestration tools (e.g. Docker/Podman, Kubernetes).
- ✓Knowledge of gRPC & REST API design and development.
- ✓Familiarity with CI/CD pipelines and tools.
- ✓Eligibility criteria: Master's degree with 2 to 6 years of post-graduation professional experience, or PhD with no more than 3 years of post-graduation professional experience.
