Backend Software Engineer (.NET)

• Develop and maintain essential micro-services that drive the core functionality of our Generative AI applications, ensuring their reliability and efficiency.
• Foster collaboration across diverse teams to seamlessly integrate backend services with front-end applications, guaranteeing a smooth user experience.
• Employ Docker and other containerization tools to create robust deployment strategies, ensuring the efficient packaging and distribution of applications.
• Manage containerized applications using Kubernetes, overseeing their orchestration to uphold scalability and reliability standards.
• Contribute to the design and enhancement of data management systems, optimizing them to handle the storage, retrieval, and processing of large-scale datasets vital to Generative AI projects.
• Work closely with data engineers to refine data pipelines, enhancing their efficiency and performance.
• Implement MLOps best practices to streamline the deployment, monitoring, and management of Generative AI models, ensuring their seamless integration into the infrastructure.
• Collaborate with data scientists and machine learning engineers to integrate AI models seamlessly into the overall backend infrastructure.
• Enhance backend systems on the Azure cloud platform, leveraging its services to improve performance and scalability.
• Drive innovation by implementing cutting-edge solutions on Azure to enhance the efficiency and effectiveness of backend infrastructure components.

• Bachelor's or Master's degree in Computer Science or a related field.
• Proficiency in .NET programming is required.
• Experience with Python programming is a plus.
• Demonstrated experience (2+ years) in backend development, emphasizing micro-services architecture.
• Familiarity with containerization tools such as Docker, and orchestration frameworks like Kubernetes.
• Thorough understanding of data management principles, including practical experience managing large-scale datasets.

• Annual bonus based on goal achievement.
• Hybrid and flexible work model.
• 25 days of vacation per year.
• Health insurance.
• Access to online learning platforms and in-house academy.
• Opportunities for training and certifications.
• Integration into a dynamic, enthusiastic, and continuously growing team.

Michael Page