.Net Developer

Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:

• →Develop, test, and maintain backend microservices and APIs using C# and .NET.
• →Implement data access layers and write optimized T-SQL queries and stored procedures.
• →Write comprehensive unit, functional, and integration tests to ensure code quality and system reliability.
• →Participate in code reviews and contribute to a collaborative engineering culture.
• →Contribute to CI/CD pipelines for automated builds and deployments.
• →Troubleshoot and resolve production issues.

• 5+ years of professional backend development experience.
• Excellent working knowledge of .NET Framework with C#, including asynchronous programming, queuing, caching, logging, XML/JSON serialization, and security.
• Strong SQL Server experience with T-SQL, stored procedures, transactions, ACID compliance, data normalization, and query optimization.
• Proficiency with data access from .NET using ORMs (Entity Framework, Dapper) and direct queries.
• Expertise writing unit, functional, performance, soak, and stress tests; BDD is a plus.
• Strong skills in developing RESTful JSON APIs, including experience with API Gateways and authentication.
• Experience with Continuous Integration/Deployment processes (Git, Jenkins).
• Experience working in both Linux and Windows environments.
• Exposure to Docker, Kubernetes, and serverless patterns in AWS.
• Experience building and deploying microservices.
• Familiarity with infrastructure as code (Terraform, Chef) is a plus.

• AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.