DEVOPS SYSTEM ADMINISTRATOR (BIG DATA)

Job Type:
Permanent
Areas of Expertise:
Programming and Development
Region:
Canada
Area:
Montreal
City:
Montreal
Posted:
24-Oct-17
Company:
Eidos Montreal
Job Ref:
363

DEVOPS SYSTEM ADMINISTRATOR (BIG DATA)

Information Technology | Montréal, Québec, Canada

 

Job Summary: Administer all technical aspects of the company’s web and online gaming cloud infrastructure throughout the business with a strong focus on service delivery and big data processing
 

Functions
 

•          Design, install and maintain big data analytics platform;

•          Manage public and private cloud infrastructure;

•          Support the analytics team requests for specialised solutions;

•          Troubleshooting and performance tuning of analytic jobs;

•          Maintain and improve system automation and management tools;

•          Administer and manage the web and online gaming server environment globally;

•          Work alongside the system administrators located at other sites;

•          Monitor online services and take necessary actions to ensure SLAs are met or exceeded;

•          Monitor system health and security;

•          Create system, process and workflow documentations;

•          Provide technical support towards all aspect of the infrastructure and help developers in debugging, troubleshooting and optimizing online software components and tools;

•          Work with agile delivery teams to ensure build management, automated testing and software deployment;

•          Work closely with hosting companies and datacentres to improve the service delivery throughout the business;

•          Take proactive approach in identifying and alleviating capacity planning issues and bottlenecks, forecast resource requirements;

•          Provide high quality support of the infrastructure and liaise with the other 3rd level support teams regarding networking, server and storage issues;

•          Script, manage, configure and tailor monitoring solutions and respond to incidents.

 

Experience and qualifications

 

Essential
 

•          Working in production public cloud environment;

•          Experience in building and managing big data processing pipelines in a production environment;

•          Experience with managing both SQL and noSQL systems;

•          in-depth knowledge and management experience with AWS and GCP automation pipelines and serverless architectures;

•          Strong Linux system administration background;

•          System automization experience regarding deployment and configuration management.

•          Experience in writing, debugging and troubleshooting analytics jobs, map/reduce jobs, spark jobs in python/scala/java;

•          Hands-on experience with more of the following components: hadoop, elesticsearch, impala, spark, hue, apache, nginx, mysql, redis, postgres, mongodb, haproxy;

•          Experience in designing/managing highly available systems, distributed systems, clustering;

•          Managing monitoring and alerting systems, central logging, log analytics, backup and archive solutions.


Asset 
 

•          Hadoop admin certification;

•          AWS/GCP certification: DevOps/SysOps/Architect;

•          Linux certificates Ubuntu/RedHat;

•          Active involvement in cloud auto-scaling solution development;

•          Data proection, encyrption experience;

•          Experience in continuous integration/continuous delivery;

•          In-depth Puppet/Chef/Ansible knowledge;

•          Hybrid cloud experience with scale out to public cloud;

•          Working with high traffic web applications and dynamic scaling;

•          Experience with any of prometheus, grafana, kibana, icinga, observer, cacti, logstash, rsyslog, graylog


Technical skills

Essential
 

•          In-depth knowledge of big data processing solutions, architectures, system components;

•          Competent programming or scripting background in one or more of the following languages: python, java, scala, r, bash, javascript;

•          Solid network troubleshooting experience;

•          Interest in working towards a high quality, finding the right solutions, following best practices;

•          Strong focus on business outcomes and a service provider attitude.


Asset
 

•          Experience with data protection regulations, PCI;

•          Understanding of encryption solutions;

•          Performance tuning and optimization of analytics jobs;

•          Experience with real-time analytics and machine learning.
 

Interpersonal skills
 

•          Ability to work in a team, create well organized documentation, follow procedures.

•          Comfortable with open communication

•          Available to work out of office hours and remote 

•          Interest in video games, online gaming.

•          Open for potential 24/7 support in the future if required 

Contact Details:
Eidos Montreal
Tel: .
Contact: The Recruitment Team
Email:

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