NET Developer with Python
Location: Hyderabad
Work Timing: 2 PM to 11 PM IST
Salary: Up to 15 LPA
Employment Type: Full-Time (FTE)
Work Mode: Work from Office (Mandatory 5 Days a Week)
Job Summary:
We are seeking a .NET Developer with Python who has 5+ years of experience in designing, developing, and maintaining enterprise applications. The ideal candidate must have expertise in C#, .NET, SQL Server, and Python, along with strong knowledge of Azure DevOps. You will work on building scalable applications, optimizing performance, and ensuring seamless integration across different technologies.
Key Responsibilities:
- Develop and maintain applications using C# and .NET technologies.
- Implement, integrate, and optimize backend services using Python.
- Design and manage SQL Server databases, including writing optimized queries and stored procedures.
- Work with Azure DevOps for CI/CD pipeline management, automated deployments, and version control.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Troubleshoot and debug application issues, ensuring high performance and reliability.
- Follow Agile development methodologies, including sprint planning and daily stand-ups.
- Implement security best practices and optimize application performance.
Mandatory Skills:
C#, .NET, SQL Server,
Python - mandatory, Azure DevOps Strong knowledge works.
C# & .NET Strong hands-on experience in .NET Core, ASP.NET MVC, and Web APIs.
Python Proficiency in developing backend services and automation scripts.
SQL Server Expertise in database design, query optimization, and stored procedures.
Azure DevOps Strong experience in CI/CD pipelines, automated deployments, and version control.
Debugging & Troubleshooting Strong analytical and problem-solving skills.
Agile Development Experience in Scrum/Agile methodologies and working in Agile teams.
Preferred Skills (Nice to Have):
Experience with Azure Cloud Services (App Services, Functions, Storage).
Knowledge of Microservices Architecture and API development.
Familiarity with Docker & Kubernetes for containerized deployments.
Exposure to unit testing and automated testing frameworks.
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