Software Engineer 2

Overview

Come join the Virtual Expert Platform(VEP) team as a Software Engineer 2. The Virtual Expert Platform (VEP) manages configurable, reusable capabilities that connect customers and small businesses to all kinds of expertise, from self-help to live support.

What you'll bring

• BS/MS in computer science or equivalent work experience
• 3+ years experience developing web, software, or mobile applications
• Solid grasp of software engineering fundamentals and their practical application
• Experience with any of the following Object Oriented Languages (OOD): Java/J2EE
• An understanding of the Software Development Life Cycle (SDLC)
• An understanding of the Front end (React Js) and primarily Back end development (java, Springboot deployed on cloud environment)
• An understanding and preferable experience with web services - REST
• An understanding of unit testing & Test Driven Development (TDD)
• Self-starter attitude and ability to make decisions independently
• Helpful, can-do attitude and a willingness to take ownership of problems
• Strong desire to learn and grow
• Excellent problem solving skills with a history of superb delivery against assigned tasks
• Excellent verbal and written communication skills
• Outstanding partnership skills
  
  

How you will lead

• Successful delivery of high quality web software (requirements, design, code, documentation, etc.)
• Roughly 80-95% hands-on coding
• Contribute to early quality activities, including peer reviews of estimates, designs and code
• Resolve defects/bugs during QA testing, pre-production, production, and post-release patches
• Partner effectively with all team members to deliver against commitments
• Work cross-functionally with various Intuit teams: product management, various product lines, or business units to drive forward results
• Commitment to team success and positive team dynamics
• Passion for growing and applying technical skills in service to customers
• Experience with Agile Development, SCRUM, and/or Extreme Programming methodologies