Senior DevOps Engineer

Confidential Company  •  New York, NY

8 - 10 years experience  •  Staffing & Recruiting

Salary depends on experience
Posted on 10/17/17 by Radhika Arora
Confidential Company
New York, NY
8 - 10 years experience
Staffing & Recruiting
Salary depends on experience
Posted on 10/17/17 Radhika Arora

The Senior DevOps Engineer will be a part of a team supporting and scaling the production infrastructure for the delivery of web applications 


  • Build and manage software delivery, systems integration, and developer support tools.
  • Design and implement quality software delivery solutions.
  • Design and deploy applications utilizing components of the AWS stack focusing on high-availability, fault tolerance and disaster recovery
  • Support, troubleshoot, monitor and optimize production systems.
  • Help streamline software development
  • Conducts performance tuning, load testing, optimization of information/data processing, maintenance and support of the production environment
  • Serves as a technical expert on the most difficult support and troubleshooting problems.

Qualifications Include:

  • 7 to 10years of experience in multiple IT areas including 2–3years of relevant Web/Internet experience
  • Expert-level knowledge of the Amazon Web Services (AWS) ecosystem
  • Software development background and scripting with one or more of the following languages: Java, Ruby, Python, Perl.
  • Sound technical understanding of the use and administration of various Linux distributions (RHEL preferred)
  • Experience supporting 24x7, high availability internet application environments that include web, application and database servers and load balancing systems
  • Working knowledge of web and application servers management and configuration (e.g. Apache, Nginx, JBoss, Tomcat)
  • Experience with build and deployment automation tools (e.g. Maven, Jenkins, Bamboo)
  • Experience with build automation and configuration management tools (e.g. Puppet, Chef, Ansible)
  • Experience with virtualization platforms and cloud technologies (VMware, AWS, Docker)
  • Experience with log aggregation tools (Splunk, Elasticsearch, LogStash)
  • Experience with metrics infrastructure tools (Statsd, Graphite)
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