.NET Full Stack Engineer

.NET Full Stack Engineer - Associate Consultant​

Proposed designation​
Associate Consultant​​

Role type​
Individual contributor​

Reporting to ​
Manager​/Assistant Manager

Geo to be supported​
ROW​

Work timings​
General Shift​

Team Overview​
At KPMG, within the Engineering service line, we are seeking a highly skilled software developer to create software solutions that align with our clients' needs. You will be expected to write clean, efficient, and maintainable code, implement best practices in software development, and continuously enhance your technical skills to keep up with industry trends and advancements.

Roles & responsibilities

• Developing scalable backend services in C#, AST.NET Core
• Build responsive and dynamic front-end interfaces using Angular or React. ​
• Collaborating with cross-functional teams to gather requirements and define software specifications.
• Connecting applications with other services, APIs, and databases.
• Ensuring code quality through testing, debugging, and troubleshooting​
  

Mandatory  technical & functional skills

• Strong Proficiency in C#, ASP.NET Core, MVC, RESTful Web APIs.
• Experience in building responsive and interactive UI solutions using modern front-end technologies like Angular or React. ​
• Knowledge of HTML5, CSS3, JavaScript, and TypeScript.​
• Knowledge of databases (SQL and NoSQL).​
• Understanding of software development methodologies (e.g., Agile).​
• Experience with version control systems (e.g., Git)​
• Excellent problem-solving and communication skills

 

Preferred technical & functional skills

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is often preferred.​
• Familiarity with DevOps principles and practices.​
• Knowledge of containerization technologies such as Docker and Kubernetes.
  

Educational qualifications ​

• Graduate or postgraduate in Computer Science Engineering Specialization.

Work experience​

• 2-4 years of professional experience in .NET Full Stack Development​.
• Experience working in Agile/Scrum environments.​
• Explore and evaluate Generative AI techniques for potential integration into existing software systems.​

Experience Level

Mid Level