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.Net Full Stack Developer

LA Consultancy
5 - 10 Years
Multiple Locations

Posted on: 21/10/2026

Job Description

Job Description :

BE, BTech, MCA, or equivalent degree in Computer Science, IT, or a related field candidates having 5 - 10 years experience in .NET Fullstack development to design, develop, and maintain high performance web applications, develop responsive UI using HTML, CSS, Java Script and Angular framework, design and develop APIs, and backend components using Java spring framework.

Required Skills :

- Strong hands-on expertise in .NET and .NET Core with understanding of design patterns.

- Experience in using Git for version control and experience with CI/CD pipeline and tools.

- Work closely with product owners, architects, QA engineers, and operational partners to deliver secure, resilient, and scalable system capabilities.

- Proven experience in API development (RESTful services, microservices, integrations).

- Strong experience in Docker and Containerization.

- HTML, CSS, Javascript, Angular, ASP .Net, .Net Core, MVC, Familiarity with messaging systems (Kafka, MQ, or similar) and NDM file transfer, Knowledge of API security patterns (OAuth2, JWT, mTLS), Mastery of multithreading, concurrency, and performance tuning.

- Experience with relational databases (Oracle, PostgreSQL, or SQL Server).

- Experience building highly available, distributed backend systems.

Role & Responsibilities :

- Strong analytical and troubleshooting skills using tools like CloudWatch, Datadog.

- Solid front-end development skills with Angular and JavaScript/TypeScript.

- Practical experience building and deploying applications using AWS services.

- Strong understanding of software design principles, data structures, and testing practices.

- Hands-on experience with AI coding assistants and applying them within team workflows.

- Excellent communication skills able to collaborate effectively and articulate technical concepts clearly.

- Experience working in Agile/Scrum delivery environments.

- Interest in and openness to adopting AI-assisted engineering tools and practices responsibly.

- Work closely with product owners, architects, QA engineers, and operational partners to deliver secure, resilient, and scalable system capabilities.

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