Lead Associate in Software Engineering for developing mainframe solutions at BetaNXT. Collaborating with Agile teams to ensure software functionality and robust solutions.
Responsibilities
Develop flawless solutions based on requirements with thorough coding and unit testing.
Help improve our code quality through writing unit tests and automation.
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions.
Work with the product and design teams to understand end-user requirements, formulate use cases, and then translate that into a pragmatic and effective technical solution.
Ensure continued functionality of a program during maintenance and testing of software.
Revisit the development process to fix bugs or address client or consumer concerns.
Document each aspect of a system or application as a reference for future upgrades and maintenance.
Dive into difficult problems and successfully deliver results on schedule.
Creates, reviews, and maintains all required technical documentation/ manual related to assigned software to ensure supportability and reuse.
Requirements
4-6 years of professional and recent hands-on coding and software design; preferably in the financial services industry
Bachelor’s Degree in computer science / Software Engineering or equivalent
A track record of projects completed on time – you are a flawless executor, not a procrastinator
Experience with all phases of the software development life cycle, best practices and Agile Software Development
Solid software design knowledge – you should know how to create software that’s extensible, reusable and meets desired architectural objectives.
Strong technical experience with specialist knowledge in Mainframe Technologies with experience in languages like COBOL, JCL, SQL etc and processing environment like CICS, CICS Transaction Server 3.1
Experience with MicroFocus/Veryant COBOL, ISAM, GitLab for code repository and CI/CD
Strong knowledge on DB2. Extensive design knowledge in DB2 Load/Unload process with nightly batch process using DB2 Load/Unload utility.
Work autonomously and in teams, and will never back down from the challenges of scale
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