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_________________________________________________________________________
CONVOCATORIA
DE NOVIEMBRE 2016
_________________________________________________________________________
Fechas
y Evolución de los Procesos de Selección
- Situación
Procesos de Selección:
| PUESTO |
ESTADO
DEL PROCESO DE SELECCION
|
FECHAS
|
| IT-CM-RPS |
PROCESO
CERRADO. CANDIDATO SELECCIONADO.
EL
CERN DA LAS GRACIAS POR SU PARTICIPACION A
TODOS LOS CANDIDATOS.
(última actualización: 13/3/2017) |
NO
APLICA
|
| IT-ST-FDO1 |
PROCESO
CERRADO. CANDIDATO SELECCIONADO.
EL
CERN DA LAS GRACIAS POR SU PARTICIPACION A
TODOS LOS
CANDIDATOS.
(última
actualización: 13/3/2017) |
NO
APLICA |
| IT-ST-FDO2 |
PROCESO
CERRADO. CANDIDATO SELECCIONADO.
EL
CERN DA LAS GRACIAS POR SU PARTICIPACION A
TODOS LOS
CANDIDATOS.
(última
actualización: 13/3/2017) |
NO
APLICA |
| IT-DB-IMS |
PROCESO
CERRADO. CANDIDATO SELECCIONADO.
EL
CERN DA LAS GRACIAS POR SU PARTICIPACION A TODOS
LOS CANDIDATOS.
(última
actualización: 13/3/2017) |
NO
APLICA |
| INSPIRE |
PROCESO
CERRADO. CANDIDATURA DESIERTA.
EL
CERN DA LAS GRACIAS POR SU PARTICIPACION A TODOS
LOS
CANDIDATOS.
(última
actualización: 13/3/2017) |
NO
APLICA |
_________________________________________________________________________
Vacantes
Ofertadas
A
continuación se detallan los perfiles requeridos para
las distintas vacantes ofertadas en esta convocatoria:
Mechanical
Engineer
Descripción
de Perfiles
Software Engineer
- Máster
en Ingeniería WEB.
- Máster
en Ingeniería Informática.
- Graduado
en Ingeniería Informática.
- Graduado
en Ingeniría de Telecomunicación (especialidad
Telemática).
- Ingeniero
en Informática.
- Ingeniero
de Telecomunicación (con conocimientos
demostrables de programación o administración de
sistemas).
- Ingeniro
Técnico en Informática (con al menos 3 años de
experiencia laboral).
- Ingeniero
Técnico en Telecomunicación (especialidad
telemática con al menos 3 años de experiencia
laboral).
__________________________________________________________
IT-CM-RPS
Project
Name:
Resource management automation
Project Description:
CERN runs an OpenStack production cloud with over
190,000 cores across two data centers on 7,500
hypervisors to provide the compute resources for the
Large Hadron Collider and other experiments at CERN.
The continued growth of the cloud infrastructure in
terms of use cases and cores requires automation of
manpower intensive tasks.
The project will design and implement workflows for
the management of the resources such as migrations of
virtual machines, workflows for hardware repair and
expiration of Personal virtual machines to improve
utilization.
Required
Skills:
-
Linux administration.
- Python or Puppet would be desirable.
Starting date: To
be agreed during interview.
Candidates
will be selected through a video interview and if
required a face-to-face interview will be conducted.
Volver
arriba.
__________________________________________________________
IT-ST-FDO1
Project
Name:
CERNBOX TESTING
Project Description:
CERNBOX is a service running at CERN to provide
at the same time synchronisation services (based on
the OwnCloud software) and high-performance data
access and sharing (based on EOS, the CERN disk
storage system for large-scale physics data analysis).
Within CERNBOX we have developed a testing Python
toolkit named Smashbox.
Smashbox is maintained by CERN on GitHub with several
external contributions. This will be the platform for
investigating the behavior and the stability of
CERNBOX and to evaluate the interoperability of
similar cloud services.
We need to extend the present system to cover the
following use cases/scenarios:
- Replicate the Linux/Mac testing on Windows (running
natively test clients on Windows boxes)
- Replicate the SAMBA mount testing on Windows
(running natively test clients on Windows boxes)
Fully integrate the Windows client distribution within
the IT infrastructure (CMF).
Required
Skills:
This
project requires proven experience in developing
in Python on the Windows platform.
Starting
date: To
be agreed during interview.
Candidates
will be selected through a video interview and if
required a face-to-face interview will be conducted.
Volver
arriba.
__________________________________________________________
IT-ST-FDO2
Project
Name:
LARGE-SCALE ERASURE-CODING DISK FARMS.
Project Description:
EOS is the disk solution for LHC.
It has been developed at CERN to handle the analysis
of LHC data crossed the 100-PB mark of used disk
space. This corresponds to about 800 M files being
made available to CERN researchers and engineers.
EOS software continues to be enhanced at CERN where it
delivers a scalable storage system built on
heterogeneous storage units. Data are served off large
sets of disks (currently 50,000 disks in 1600 servers)
and are efficiently accessed thanks to the cooperation
of a fast name space (capable of sustaining requests
well above 100 kHz) and a wide selection of
transfer protocols. Data durability is achieved by
maintaining multiple replicas or erasure-code
fragments across the EOS disk farm.
The project is to investigate new deployment scheme
actively using the erasure-code capabilities to
achieve:
- Reduced space overhead compared to equivalent
multiple-replica schemes.
- Improve single stream performance in reading from
multiple disks.
- Validate operational modes not requiring disk
replacements by tuning the redundancy level against
the disk lifetime.
Required Skills:
This
project requires proven experience in dealing with
Linux system (Foundation of system administration
and Python scripting)
Starting date: To
be agreed during interview.
Candidates
will be selected through a video interview and if
required a face-to-face interview will be conducted.
Volver
arriba.
__________________________________________________________
IT-DB-IMS
Project
Name:
Enable Docker deployment for Weblogic applications
for faster provisioning and easier operation
Project Description:
WebLogic Server is the Oracle application server for
building and deploying critical enterprise Java
applications. At CERN, it is mainly used as bases for
administrative and engineering applications.
The project will take advantage of latest Openstack
and container technologies (Magnum, Kubernetes). It'll
provide highly availably, scalable environment for
Java applications developers.
The aim is to look at the overall process of Weblogic
deployment and adapt it for container like
environment. It requires to investigate all aspects of
development and deployment process: testing,
application and infrastructure updates, single-sign on
integration, security, access control, scaling
monitoring as well as operations.
Required
Skills:
Programming
languages: Java, shell scripting, python,
Middleware: Java EE application servers, specially
Oracle Weblogic.
Apache HTTP Server and related backend servers
communication protocols (HTTP(S), TCP, Web
Sockets, proxy protocol), LDAP
System administration: Linux, Docker
Configuration Management: Puppet, RPM
Starting date: To
be agreed during interview.
Candidates
will be selected through a video interview and if
required a face-to-face interview will be conducted.
Volver
arriba.
__________________________________________________________
INSPIRE
Project
Name:
INSPIRE digital library, back-office
integration and consolidation
Project Description:
INSPIRE
(http://inspirehep.net) is the information platform
used by the entire High-Energy Physics community to
access information about over 1 million scientific
artefacts: articles, preprints, theses, conference
proceedings and increasingly data and software.
INSPIRE is developed and operated at CERN, with
contributions from leading High-Energy Physics partner
laboratories (DESY, IHEP-Beijing, Fermilab and SLAC)
and in cooperation with partners in France and Japan.
Beyond its role as a digital library, INSPIRE
disambiguates author names and attributes to
individual researchers their scientific production,
with about 100'000 profiles built, through a mix of
machine learning, crowdsourcing and manual curation.
INSPIRE also provides community services, index job
opportunities and alerting to upcoming conferences.
INSPIRE is developed (http://github.com/inspirehep) on
top of the Invenio Open Source digital library
(http://inveniosoftware.org). The successful operation
of INSPIRE service relies on a complex workflow where
content from a hundred multiple sources (scientific
publishers as well as other community services such as
arXiv.org) is harvested, promptly enriched and
automatically linked with existing content and
cross-referenced to external services. Users also can
suggest additional content to INSPIRE, which is
processed in similar ways.
INSPIRE is currently being re-implemented on top of a
modern software stack based on Python, Flask,
SQLAlchemy, PostgreSQL, AngularJS, Bootstrap,
Elasticsearch, and Scikit-Learn. As part of this
process there is an opportunity for a software
engineer to help integrating and consolidating
existing sub-projects in the new stack. These ranges
from a machine learning algorithm for author
disambiguation, to a web scraper and content
aggregator; from several JSON-based manipulation tools
to maintain database entries, to a tuning of
Elasticsearch mappings for INSPIRE bibliographic data;
from bringing into production-level exisitng
algorithms based on machine learning, to defining in
partnership with librarians rules to identify and
merge duplicate database entries.
The candidate would join a dynamic and agile team of
junior and senior developers, collaborating with
content curators both at CERN and in the other
participating sites.
Required
Skills:
-
Web
development - Python
- Python
web framework (preferably Flask, or Django)
- SQLAlchemy
ORM,
- Elasticsearch
- Redis
- Celery
- Optionally,
Javascript (preferably AngularJS (1 or 2), and
Bootstrap)
- Optionally,
Scikit-learn
Starting
date: To
be agreed during interview.
Candidates
will be selected through a video interview and if
required a face-to-face interview will be conducted.
Volver
arriba.
__________________________________________________________
_________________________________________________________________________
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