Product Software Engineer (wk)

Job Description

Product Software Engineer

Experience Range: 3 to 6 years.

Technical Experience:

• Must have:
  • Minimum 3 years developing N-tiered systems in a .NET/SQL environment with C#, .NET 8/9, ASP.Net Web API or ASP.Net CoreJOB IS FROM: italents.netVIEW
  • Solid understanding of object-oriented programming and design patterns
  • Experience with Rest API
  • Experience with HTML5, CSS, JavaScript, and Angular
  • Experience with deploying and operating software on a cloud provider like Azure, AWS or GCP
  • Experience working with .NET Collections and LINQ and being able to determine appropriate data structure choices based on feature requirements.
  • Knowledge of windows development using WPF, WCF etc.
  • Development experience with SQL Server: Writing queries and stored procedures.
  • Some familiarity with how to write performant queries.
  • Experience writing unit and integration tests using xunit or NUnit
  • Strong communication skills - verbal and written - and ability to work collaboratively as a team.
  • Passionate about software development.

• Preferred qualifications:
  • Experience with .NET Framework
  • Experience using an ORM framework such as Entity Framework, etc.
  • Experience with Kubernetes, Docker, or other containerization technology.
  • Experience in SQL Server database tuning and performance optimization.
  • Experience creating data models to support requirements.
  • Experience working in an agile environment with an SDLC like Scrum, SaFE, etc.

Essential Duties and Responsibilities

• Collaborate with other engineers on the team to deliver features with high availability, resiliency, scalability, security, and optimal performance to meet service level objectives.
• Pair program with senior engineering team members to deliver high quality software with automated self-certification prior to delivery to consumers.
• Adopt new technologies, tools, methods, and processes to help deliver on our goals and “make it better”.
• Troubleshoot and determine root cause of problems and identify action items to drive increased reliability and performance.
• Automate deployments, scaling, and other operational tasks to be as boring as possible.
• Relentlessly document your implementation, learnings, patterns, and practices.