**Candidates requiring visa sponsorship will not be considered for this position**
- The Technology Environment Analyst professional will be responsible for preparing testing/UAT environments for the integration system testing, user acceptance, and production release stages of the SDLC phases.
- This position partners with infrastructure counterparts, project managers, software developers, business users and management across the Margin technology and business organizations to successfully deliver process/data results.
- This position requires the ability to follow, design and execute testing environment set up plans and procedures during the System Integration Testing of new or modified applications, computing environments, and software/hardware technology and tools, etc.
- Perform requirement analysis for environment setup, create /follow standard configuration plans, execute and troubleshoot batch jobs. Review and resolve issues. Provide sound root cause analysis and resolution for failures.
- Assist in the development and implementation of metrics for assessing the quality of delivered system batch runs.
- 3 – 5 years of experience in engineering, engineering support, or technical support environment or equivalent consulting experience
- Experience with the software development life cycle (SDLC)
- Familiar with both software versioning tools and continuous integration tools, such as SVN, JUNIT, Hudson, Jenkins
- Familiar with both Windows and Unix/Linux environments and SQL Server database. Experience with regression, functional, and system testing procedures. Experience with development flows and functionality in each release to support rapid continuous delivery
- Ability to diagnose and troubleshoot infrastructure/environment related issues
- Candidates requiring visa sponsorship will not be considered for this position
- Ability to work with distributed teams
- Experience in both Waterfall and Agile methodology
- Experience in deployment automation
- Investment Bank and/or Margin systems knowledge
- Previous experience with infrastructure monitoring tools, such as ITRS Geneos
- Experience in large scale capacity planning and / or management
- Familiarity with one or more of the following: sh, ksh, csh.
- Previous experience with scripting in Perl
- Knowledge of one or more of the following: C++, Objective-C, Java, Python
Posting Date: 06/19/2017
Full / Part-time: Full time
Hours Per Week: 40
Shift: 1st shift
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