.NET Developer

EPAM provides digital engineering, cloud, and AI-enabled transformation services, as well as digital product development and consulting.

• Design, develop, test, and maintain web-based applications, services, and APIs using .NET technologies;
• Collaborate with Product Managers, Designers, and other Engineers to define application requirements and architecture;
• Deploy, integrate, and monitor software on cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform;
• Implement cloud-native principles, leveraging technologies like serverless computing, containers, and cloud storage solutions;
• Integrate and leverage AI technologies in real-world projects;
• Evaluate, select, and implement AI models and frameworks beyond basic tool usage;
• Identify opportunities to apply AI for process automation, analytics, or product enhancement;
• Explain AI concepts and workflows to both technical and non-technical stakeholders;
• Ensure applications are secure, high-performing, and scalable by implementing best practices in security, performance optimization, and cloud architecture;
• Troubleshoot and resolve technical issues across production and non-production environments;
• Participate in code reviews to ensure code quality, reusability, and maintainability;
• Automate CI/CD pipelines to streamline deployment processes and enable continuous delivery of new features;
• Stay updated on the latest trends in .NET frameworks, cloud and AI technologies, and relevant development tools;
• Mentor junior engineers and contribute to the technical knowledge base of the team.

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience;
• 5+ Years of professional experience in software development using C# and .NET technologies;
• Hands-on experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform;
• Strong understanding of cloud-native architectures and tools like Docker, Kubernetes, or serverless frameworks;
• Demonstrated hands-on experience integrating and leveraging AI technologies in real-world projects;
• Ability to evaluate, select, and implement AI models and frameworks beyond basic tool usage;
• Strong understanding of AI/ML concepts such as model training, data preprocessing, and prompt engineering;
• Proven track record of identifying opportunities to apply AI for process automation, analytics, or product enhancement;
• Familiarity with limitations and best practices in AI adoption and deployment;
• Capacity to explain AI concepts and workflows to both technical and non-technical stakeholders;
• Proficiency with relational and non-relational databases such as SQL Server, PostgreSQL, MongoDB, or DynamoDB;
• Hands-on experience with RESTful API design and development;
• Familiarity with CI/CD pipelines and tools such as Azure DevOps, Jenkins, or GitHub Actions;
• Solid understanding of software development best practices, such as Agile methodologies, unit testing, and version control;
• Excellent problem-solving and analytical skills with strong attention to detail;
• Effective communication and collaboration skills in a team-oriented environment;
• Nice to have: Experience with frontend technologies such as React or Angular.

• No conditions specified