Big Data Analyst for Monitoring and Analytics Devops

  • Full-time

Company Description

At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Find out more on http://home.cern.

Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization.

This is your Quest. Deepen your knowledge and expertise faster than anywhere else on earth. Take Part!

Job Description

Do you want to contribute to the acquisition, processing and analysis of the collision data of a big LHC experiment? Take part!

You are a scientist/engineer interested to join a diverse team of professionals working for the Compact Muon Solid (CMS) experiment and have a role in the scientific results produced by it. You will be part of the Offline Software and Computing project, as a member of the Monitoring and Analytics group.


You will:

  • Operate, maintain and develop the monitoring system of the CMS computing infrastructure
  • Support and implement monitoring tools and dashboards for the software and computing teams of the CMS experiment
  • Use the next generation of industry tools to handle Big Data (e.g. Kubernetes, Kafka, InfluxDB, HDFS, ApacheSpark, ElasticSearch, Grafana and Kibana)
  • Learn enough details to be able to transfer knowledge of the monitoring methods to the operations team at large
  • Actively use the monitoring tools to understand issues and features of the CMS compute infrastructure and autonomously improve the tools to facilitate operations understanding and debugging


There are ample opportunities for showing creativity and initiative.

https://cms.cern/

Qualifications

Eligibility criteria:

  • You are a national of a CERN Member or Associate Member State;
  • You have a Master’s degree and between 2 and 6 years’ experience or PhD with up to 3 years of relevant experience in software engineering, physics or other related field;
  • You should have a working knowledge of English or French.

Skills and/or knowledge:

  • Linux service management and system administration;
  • Python and shell scripting;
  • Development and code design, in particular GIT;
  • Spark, Elastic Search, Graphana and/or Kibana, while not required, is highly desirable;
  • Batch systems and high throughput computing is a plus;
  • Linux containers is a plus.

Additional Information

What we offer:

  • An employment contract of in principle 24 months, with a possible extension up to 36 months;
  • On-the-job and formal training at CERN as well as in-house language courses for English and/or French;
  • A monthly stipend ranging between 6050 and 6650 Swiss Francs per month (net of tax);
  • Coverage by CERN’s comprehensive health scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund;
  • Depending on your individual circumstances: installation grant; family, child and infant allowances; payment of travel expenses at the beginning and end of contract;
  • 30 days of paid leave per year.

How to Apply:

You will need the following documents to complete your application:

  • A CV;
  • A scanned PDF of your most recent relevant qualification;
  • We recommend to add two recent letters of recommendation, giving an overview of your academic and/or professional achievements. You can upload these letters at the time of application if you have them to hand. You will also be provided with a link as soon as you have submitted your application to forward to your referees to upload their letters confidentially.

The earliest expected start date for selected candidates is May 2023.

Ready to take part? Then please submit your application by 23 January 2023 at  midnight (12.00 AM CEST). 

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