Software Engineer for Data Processing Platform

vor 3 Stunden

Genf, Genf, Schweiz CERN Vollzeit
Job Description

Your responsibilities

CERN's new big data processing and analysis platform will extend UCAP, our real-time stream processing platform, and combine it with NXCALS, our petabyte-scale offline data storage and analysis system.

As a Software Engineer, you will:

  • Carry out hands-on research on open-source data processing frameworks such as Spark Structured Streaming, Apache Beam, Kafka Streams, and on modern Kubernetes-based deployment solutions such as Knative and OpenFaaS;
  • Design, implement, and optimize a high-performance and scalable data analysis platform using Java, based on your research, together with your new colleagues;
  • Work closely with accelerator physicists and equipment specialists to design tailored and user-friendly libraries, APIs and configuration facilities, enabling this user community to quickly and easily develop and deploy both traditional and ML algorithms written in Python and Java.
About the Role

Key responsibilities include:

  • Designing and implementing a data analysis platform using Java;
  • Carrying out research on open-source data processing frameworks;
  • Collaborating with colleagues to optimize the platform.

You will be working on a cutting-edge big data processing and analysis platform, combining real-time stream processing and offline data storage and analysis.

As a Software Engineer, you will be responsible for designing, implementing, and optimizing the platform, working closely with colleagues and user communities.

The role requires a strong background in software development, particularly in Java, and experience with modern Kubernetes-based deployment solutions.

Additionally, you will have the opportunity to work with accelerator physicists and equipment specialists to design tailored and user-friendly libraries, APIs, and configuration facilities.

We are looking for highly motivated and talented individuals to join our team and contribute to this exciting project.

Candidates with a strong background in software development, particularly in Java, and experience with modern Kubernetes-based deployment solutions are encouraged to apply.

As a successful candidate, you will have the opportunity to work on a cutting-edge big data processing and analysis platform, combining real-time stream processing and offline data storage and analysis.

You will be part of a dynamic and international team, collaborating with colleagues from diverse backgrounds and expertise.

Furthermore, you will have access to CERN's comprehensive health scheme and membership of the CERN Pension Fund.

Candidates who are nationals of a CERN Member or Associate Member State are encouraged to apply.

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