Enterprise Developer II

University of Idaho
Moscow, ID, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$79,922.0
Working hours
Regular working hours

Tech stack

Testing (Software) JavaScript (Programming Language) .NET Framework Agile Methodology Artificial Intelligence Data Analysis Configuration Management Cyber Security Computer Programming Databases Data Governance Software Debugging
+14 more
Software Design Patterns Programming Tools Mobile Application Software Object-Oriented Software Development Systems Development Life Cycle Next.js Software Deployment Software Engineering Management of Software Versions Web Applications Web Services Software Troubleshooting Information Technology Software Version Control

Job description

Enterprise Developers are involved in the development of server, OS, desktop, mobile applications and services. They may research, develop specifications for, design, write, modify, test, debug, troubleshoot, document and maintain source code. They will have direct or related involvement in designing related databases, user interfaces, integrations to other systems and applications, content or multimedia processes.

The Enterprise Developer II collaborates with team members to apply professional programming concepts to small to medium-sized projects or portions of larger projects. They are responsible for resolving a variety of programming design and implementation issues, working on programming assignments of moderate scope where analysis of situations or data requires a review of a variety of factors. The position follows standard programming procedures to analyze situations and data.

Duties may include:

  • Create and evaluate moderately complex software
  • Analyze software for new, moderately complex systems and algorithms
  • Perform data analysis, test and debug software
  • Develop, implement and execute plans and tests
  • Design and apply basic data sources and security practices
  • Employ source code control techniques
  • Assist with implementation, configuration management and creation processes
  • Gather and analyze data
  • Other duties as assigned

Requirements

Two years of professional experience as a programmer/developer including:

  • Applying secure software development practices
  • Applying intermediate skills in designing, developing, modifying and deploying software, including object-oriented programming concepts
  • Following software specifications
  • Performing software testing; writing test plans with simple requirements
  • Using common programming tools
  • Utilizing software repositories for code storage and versioning
  • Identifying and resolving basic application problems
  • Communicating technical information to technical personnel at various levels in the organization
  • Working in a team environment and as an individual contributor to accomplish shared goals

Required Education:

  • High School Diploma or equivalent, * Bachelor’s degree in Computer Science, Information Technology or a related field
  • Demonstrated ability to critically evaluate AI-generated outputs for accuracy, appropriateness, and alignment with university policies and values
  • Familiarity with responsible AI use principles, including awareness of privacy, data governance, bias, and ethical considerations relevant to a higher education environment.

Experience with: *

  • Higher education technology
  • Developing user-facing web applications
  • Programming with Javascript or .Net
  • REST protocols as well as other related web services
  • Computer security issues and the ability to apply this knowledge in the design and development of systems
  • Troubleshooting software development issues and efficiently resolving the issues in a timely fashion
  • Development workflow and version control tools
  • SDLC and/or Agile methodologies
  • Modern web application hosting platforms such as Vercel
  • Demonstrated ability to critically evaluate AI-generated outputs for accuracy, appropriateness, and alignment with university policies and values
  • Familiarity with responsible AI use principles, including awareness of privacy, data governance, bias, and ethical considerations relevant to a higher education environment.

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