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Application Support Analyst (DevOps)

Req #: 180002089
Location: Plano, TX, US
Job Category: Technology
Job Description:
Application Support Analyst will be a motivated and talented individual working in the Production Management (Operate) team in Commercial Banking Technology. Successful candidate will be a key to delivering, helping set up new technology support for applications and systems, provide hands on day to day production support and user support as needed. This position will work across all technology AD and support teams as well as interact with technology teams across LOBs to share and utilize knowledge and best practices.
Primary responsibilities in this role will be:
  • Work with AD and other technology teams to establish, improve and measure application support involving modern development practices, such as Agile, Continuous Delivery and DevOps
  • Work on implementing and supporting scalable systems, Cloud (internal/external) based solutions within organization
  • Work on Big Data applications and implementations including Hadoop
  • Work as part of DevOps team on user stories especially be able to influence and implement nonfunctional support requirements like performance testing, monitoring, alerting, resiliency, continuous integration and deployment
  • Provide coverage which will require shift/rotation and might include weekend work to cover primarily US hours of operation; Work day will vary depending on shift and could start at 8 AM EST if on early shift; or end at 10:00 PM EST for End of Day US Shift
  • Ownership of all issues that are raised to Operate team, through to closure regardless of which team or Vendor ultimately resolves the issue. Raise JIRA/defect reports to AD/Vendor (where appropriate) for code amendment / fixes. Also be able to validate any reports issues/ad hoc requests to run business reports
  • Manage stakeholder relationships with AD, Other technology teams or end-user clients on a day to day basis
  • Participate in and manage Incident Management and Problem Management processes to resolve Production issues and root cause analysis, resolution, and reporting
  • Maintain a knowledge base of known defects, issues, process, techniques etc. Update and manage problem tickets appropriately
  • Learn and be proficient with advanced user configuration options
  • Perform Deployments, Post-release testing after application upgrades and/or releases. Perform desktop testing on disaster recovery environments
Bachelor’s Degree in Computer Science, Engineering or Business
  • Strong knowledge and experience in DevOps and Agile teams
  • Strong knowledge and experience across multiple platforms, including Cloud architecture
  • Knowledge/experience in Hadoop environment administration, release deployments to HBase, supervising Hadoop jobs, performing cluster coordination services will be preferable
  • Knowledge of SQL, UNIX, Oracle, MS SQL DB, J2EE
  • Knowledge of MS Windows OS and MS SQL Server
  • Familiarity with Control M and AutoSys job scheduler
  • Knowledge and experience in Web based applications / architecture (Certificates, IIS, Web Services)
  • Knowledge of Unix/Linux administration and Unix scripts. Should be knowledgeable about automating the build and deployment process. Knowledge in Python, Javascript is good.
  • Knowledge of GIT, BitBucket, Jenkins, SONAR, SPLUNK, Maven, AIM and Continuous Delivery tools.
  • Knowledge of Load balancing, Big IP,  DNS, Akamai
  • Understanding of virtualization concepts and some knowledge about tools like vmware
  • Knowledge of Cloud (private cloud, public cloud etc) working experience of cloud environments like AWS is a plus.
  • Basic knowledge in Java and RESTfull API.
  • Ability to work directly with AD, Business and Operations
  • Excellent communication skills, both written and oral appropriately scaled for technical or business audience
  • Excellent interpersonal skills, team player
  • Strong analysis, research, investigation and evaluation skills, with a structured approach to problem solving
  • Ability to work and effectively prioritize in a highly dynamic work environment that includes a global focus
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