Knowledge of DevOps concepts ability to articulate, advocated and implements automation concepts for CI/CD and associated configuration management, automated deployment, and validation. Knowledge and experience with N-Tiered architectures including middleware layers ESB's, Web Services, and Messaging constructs.
Numbers & Facts
Location
Berkeley Heights, NJ or Alpharetta, GA
Description
Business Solutions Architect Berkeley Heights, NJ or Alpharetta, GA Contract
Required Skills:
Experience with architecture frameworks and view based architecture (4+1 view models)
Strong software engineering background in IBM mainframe (Z-Series) technologies and COBOL
Experience with JCL, IMS, CICS, MQ, large complex batch operations, and integrations with distributed Linux and Windows systems
DB2 database experience
Working knowledge of physical, virtual, and cloud deployment strategies
Knowledge and experience with N-Tiered architectures including middleware layers ESB's, Web Services, and Messaging constructs
Knowledge of design pattern concepts and ability to apply design patterns
Experience with Agile/Scrum development and capable of providing technical leadership to an agile team.
Knowledge of DevOps concepts ability to articulate, advocated and implements automation concepts for CI/CD and associated configuration management, automated deployment, and validation.
Experience working in heterogeneous environments (Windows .Net, Linux/Unix, As400, Mainframe)
Experience with capacity and performance analysis of complex systems
Knowledge of cloud based architectures, SaaS, PaaS including cloud migration
Strong communication skills capable of working in client facing position and interacting directly with client technical staff. Must be able to independently produce technical documentation including architecture diagrams, detailed technical design, and associated presentation materials.
Desired:
Hands-on experience with IBM I-series/System I/AS400 and/or Mainframe experience
Financial Services background
Data Warehouse both traditional and Big Data paradigms