.Net Engineer - ASP/C#/MVC

Description :

Mandatory Skills :

- .Net

- .Net Core, MVC Core, ASP.Net, C#, SQL, Angular, Javascript, Docker, Kubernetes, ELK, Kafka / RabbitMQ and AWS.

Job Summary :

We are looking for skilled and passionate Dot Net Stack Engineers with 2 to 5 years of experience who are proficient in designing, developing, and maintaining scalable backend systems and modern web applications.

The ideal candidate will have hands-on experience with .NET Framework, C#, SQL, and modern frontend frameworks along with exposure to cloud platforms (AWS/GCP), DevOps tools, and message brokers.

Key Responsibilities :

- Design, develop, and maintain applications using .NET Framework, C#, and Node.js.

- Build and enhance frontend components using JavaScript frameworks (Angular/React).

- Develop and optimize SQL Server queries and procedures; work with MongoDB and Elasticsearch for data indexing and search capabilities.

- Integrate and manage message brokers like RabbitMQ, Kafka, SQS, or Google Pub/Sub.

- Deploy and manage microservices using Docker and Kubernetes.

- Utilize CI/CD pipelines using Jenkins, and automate deployments across environments.

- Work on cloud services including AWS (Lambda, S3, Fargate) and GCP.

- Monitor and analyze system performance using ELK Stack (Elasticsearch, Logstash, Kibana).

- Collaborate with cross-functional teams to ensure high-quality software delivery.

- Contribute to code reviews, architecture design, and continuous improvements.

Required Skills & Experience :

Core Technologies :

- Proficient in .NET Framework, C#, and Node.js.

- Experience in JavaScript frameworks : Angular or React.

- Strong in SQL Server, with working knowledge of MongoDB and Elasticsearch.

Messaging & Event-Driven Systems :

- Practical experience with RabbitMQ, Kafka, Amazon SQS, or Google Pub/Sub.

DevOps & Cloud Platforms :

- Hands-on with Docker, Kubernetes, and Jenkins.

- Cloud experience with AWS (S3, Fargate, Lambda) and/or GCP.

Monitoring & Observability :

- Working knowledge of the ELK Stack (Elasticsearch, Logstash, Kibana).

Education :

- Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or a related quantitative field.