We are:
Wizeline, a global AI-centric 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.
With the right people and the right ideas, there’s no limit to what we can achieve
Are you a fit?
Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:
Responsibilities:
Develop, test, and maintain backend microservices and APIs using C# and .NET.
Implement data access layers and write efficient, optimized T-SQL queries and stored procedures.
Write unit, functional, and integration tests to ensure code quality and system reliability.
Participate in code reviews and help foster a collaborative, excellence-driven engineering culture.
Contribute to the CI/CD pipeline supporting automated builds and deployments.
Troubleshoot and resolve production issues, ensuring system stability and performance.
Support microservice deployments using Docker, Kubernetes, and cloud-native patterns.
Must-have Skills
To be successful in this role, you must have:
5+ years of professional experience in backend development.
Excellent working knowledge of .NET Framework with C#, including:
Asynchronous programming
Queuing, caching, and logging
XML/JSON serialization
Application security best practices
Strong SQL Server experience with T-SQL, stored procedures, transactions, ACID principles, normalization, and query optimization.
Proficiency with data access using Entity Framework, Dapper, and direct SQL queries.
Expertise in writing unit, functional, performance, soak, and stress tests. (BDD experience is a plus.)
Strong experience designing and consuming RESTful JSON APIs, including authentication and API Gateway patterns.
Experience with CI/CD tools such as Git and Jenkins.
Experience working in both Linux and Windows environments.
Exposure to Docker, Kubernetes, and serverless patterns on AWS.
Experience building and deploying microservices at scale.
Familiarity with infrastructure-as-code tools such as Terraform or Chef is a plus.
Bachelor’s degree in Computer Science, Engineering, or a related field.
Strong written and verbal English communication skills.
Nice-to-have Skills
● 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.
What we offer:
Find out more about our culture here.
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